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Our protocol is capable of preserving every synapse and every cell in the body with enough detail that current neuroscience says long-term memories are preserved. It's compatible with traditional funerals at room temperature and stable for hundreds of years at cold temperatures.", "one_liner": "Human whole body end-of-life preservation for later revival.", "team_size": 9, "industry": "Healthcare", "subindustry": "Healthcare -> Therapeutics", "launched_at": 1509602625, "tags": [ "Neurotechnology", "Biotech", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2018", "status": "Active", "industries": [ "Healthcare", "Therapeutics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/nectome", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2018/nectome.json", "year_founded": 2015, "city": "Portland", "country": "US", "linkedin_url": "https://www.linkedin.com/company/nectome/", "x_url": "https://x.com/nectomeresearch", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/nectome", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/11927d4ef4719b09f11846ce29e426087c662622.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 142489, "full_name": "Aurelia Song", "title": "Founder/CEO", "founder_bio": "MIT grad where I studied old-school AI, last student of Marvin Minsky, created the world's first arbitrary code execution video game speedrun back in the day. \n\nI've desperately wanted good preservation for myself and my family since I was 6 years old and first learned that I and everyone in my family would die. Nothing satisfied me so I built it myself. \n\nNow I want to see all the cool things people will build when they're building for themselves and their loved ones in 300 years!", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/aurellem", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d047e9c8d942ae68486d2e5c71b442ca14b47c92.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 1963, "name": "Rain Neuromorphics", "slug": "rain-neuromorphics", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/9d8fe573409c782a57a9055002e8b6f07292ece3.png", "website": "http://www.rain-neuromorphics.com", "all_locations": "San Francisco, CA, USA; Redwood City, CA, USA", "long_description": "At Rain Neuromorphics, we envision a future where every device possesses a dynamic and continuously learning AI brain. Neural Networks are the most powerful engines behind today's AI, but simulations require massive amounts of power and time to learn all of the synaptic connections. As opposed to a simulation, our neuromorphic hardware is a physical artificial neural network, composed of spiking neurons and physical synapses. We combine unique electroceramic materials, nanofabrication techniques, and biologically plausible models of learning to create the Memristive Nanowire Neural Network (MN3), a new type of AI chip. The MN3 can possess over ten million spiking neurons per square centimeter, and uses far less power than conventional GPUs and CPUs.", "one_liner": "We build artificial intelligence processors inspired by the brain. 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", "one_liner": "Brain Longevity", "team_size": 20, "industry": "Healthcare", "subindustry": "Healthcare -> Diagnostics", "launched_at": 1541131379, "tags": [ "Neurotechnology", "Health Tech", "Digital Health", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2019", "status": "Active", "industries": [ "Healthcare", "Diagnostics" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/brainkey", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2019/brainkey.json", "year_founded": 2018, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/brainkeyai/", "x_url": "https://twitter.com/BrainkeyAI", "fb_url": "https://www.facebook.com/BrainKeyAI/", "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/37ef137c0b25704bcbf6c8a2e9e8910944567fe6.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 286788, "full_name": "Owen Phillips, PhD", "title": "Founder", "founder_bio": "Stanford-trained entrepreneur and neuroscientist. \nhttps://owenphillips.com/\n\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/owenrobertphillips/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/4883905975aaf5b2009bec28947cd09431f3a8cd.jpg" } ], "jobs": [], "news": [ { "title": "Can we change how our brains age? 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We are building a new AI architecture from first principles to break from these limitations.\r\n\r\nThe status quo has ossified around the supervised, brute-force pretraining paradigm. These systems do not, and cannot, handle the essential skills of continual learning, goal discovery, novel planning, and the creation of new knowledge.\r\n\r\nThese limitations are not trivial. Our national prosperity depends directly on overcoming these limitations, because the essential skills underlie the skilled trades. From electricians to machinists to nurses, apprentice tradespeople in all of these fields learn “skilled improvisation” where every solution is novel, and even the goal must be discovered. Prosperity demands the precise capabilities where status quo AI is structurally weak.\r\n\r\nWorse, these limitations will not be overcome with more compute or training data. 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Ryan transformed distributed analytics across an academic lab, his first bootstrap startup and computational biology and cloud teams at Monsanto. He grew VC-backed CiBO from 7 to 70 engineers and data scientists. Ryan holds an MBA and BA prob/stats from Olin and WashU.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/ryan-richt/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e251b1296e81516f1167cf3a6363f07ff33fedc3.jpg" }, { "user_id": 338275, "full_name": "Christopher Shafer", "title": "Founder", "founder_bio": "Chronically the first customer-facing engineer, Chris has delighted customers with deep-data applications from corn germplasm catalogs to global satellite data and environment simulations. Marshalling his broad expertise from cloud architecture to data visualization, Chris delivers outcomes customers love and leads solutions teams to productize them.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/chris-shafer/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7c828b926156cb2ee1bccbd77869529553cbf3f0.jpg" }, { "user_id": 338266, "full_name": "Joseph Wingbermuehle", "title": "Founder", "founder_bio": "Joe has spent 15 years building foundational platforms, from middleware at AT&T, to startups across FPGA-accelerated high-frequency trading, accelerated ETL, machine learning based network security (acquired by Cisco) and hybrid AI/physical models of global-scale crop simulation. Joe holds a BS in Applied Math and a PhD in Computer Science from WashU.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/joewing", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/bc10e36863ae342f0586145c2ce2fcc5c7fcd6e0.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 83050, "title": "BODYSIM: Gain muscle and shed fat with a digital twin of your body", "tagline": "Your body's app-based simulation that recommends nutrition and exercise to meet your goals.", "body": "![uploaded image](/media/?type=post&id=83050&key=user_uploads/337500/1b2cc420-a97a-4df4-9066-c1974aff8915)\n\nWe're excited to announce a complete overhaul of BODYSIM from a tracking and modeling tool for your metabolism into an end-to-end fitness forecasting system. After launching our initial beta last fall, we discovered something crucial: our users didn't just need another tracking tool with cool graphs, they needed a complete solution that bridges the gap between goals and real results.\n\n# The Challenge of Getting Results is Still Valid\n\nIf you've ever tried to build muscle and lose fat, you know the frustration:\n\n* Conflicting advice from countless \"experts\" and unreliable information\n* Scattered data across different apps and devices, each telling a different story\n* The exhausting task of turning abstract targets into actual meals and workouts\n\n# The (new) BODYSIM Solution: Building Your Digital Twin\n\nAt BODYSIM's core is our advanced \"digital twin\" technology, combining sensor fusion with the science of metabolism and physiology to help you understand your true potential, using:\n\n* DEXA scans\n* BIA weigh-ins\n* 3D body scans\n* Fitness tracker data\n* Resistance training\n* Macro-tracking\n* Blood panel biomarkers\n\nThis comprehensive data integration unlocks hidden insights about your metabolism, including your Basal Metabolic Rate (BMR), Total Daily Energy Expenditure (TDEE), hormone balance, and body composition changes.\n\n# What's New: Tools are Not Enough - Get Our Users Outcomes\n\n### 1. Prescriptive Meal Plans: Chef-Created Meal Plans & Virtual Meal Kits\n\n* Library of high-protein, low-fat recipes with step-by-step instructions to make eating for transformation easy\n* Customizable weekly meal plans based on your preferences and goals\n* Direct integration with Walmart and Amazon delivery: order your entire meal plan with a few clicks\n* Simplified food logging with grouping, automated recipe creation, and easy to repeat meals\n\n![uploaded image](/media/?type=post&id=83050&key=user_uploads/337500/2ce2e1ea-b35c-40b9-9cf4-26d0cf6b18cb)\n\n### 2. Prescriptive Workouts: Comprehensive Workout System\n\n* 2,200+ exercises with detailed videos and instructions\n* Intelligent weekly split recommendations\n* Progressive overload tracking to optimize muscle gain\n* 3D scan integration to track individual muscle group progress\n\n![uploaded image](/media/?type=post&id=83050&key=user_uploads/337500/68860789-4915-47c8-a893-f0df1991b813)\n\n### 3. Fitness Forecasting: Advanced Integration Features\n\n* Scenario planning to understand how to achieve goals faster\n* Muscle group modeling that maps exercises to specific body measurements\n* Blood marker sub-models that connect nutrition choices to health outcomes with quantitative recommendations to make a change\n* Overtraining Syndrome (OTS) risk monitoring\n\n![uploaded image](/media/?type=post&id=83050&key=user_uploads/337500/5c951bcb-3162-4b27-9bba-e1d9521fed0b)\n\n---\n\n---\n\n# Why Trust Us\n\nThis is what we do; our core tech distills messy academic literature into simulations. We've deployed science-based models of consumer behavior and battery electrochemistry to enterprise. We built BODYSIM to guide our own fitness journeys. It worked. I put on 45 lbs of muscle, and my co-founder put on 25 lbs of muscle while losing 50 lbs of fat.\n\nAnd it worked in our alpha test (ages 29-69, 50% female). 8 alpha testers lost an average of 12.6 pounds in 3 months, and 4 alpha testers with a maintain goal changed <1.4 pounds in 3 months.\n\nWe then had some beta amazing beta tester results: one lost 40 lbs, another gained 12 lbs of muscle, a female user gained 8 lbs muscle, a co-founder gained 10 lbs of muscle, and more.\n\n![uploaded image](/media/?type=post&id=83050&key=user_uploads/337500/04e38715-bc9f-4c3d-ab07-adacd8f1ee9f)\n\n![uploaded image](/media/?type=post&id=83050&key=user_uploads/337500/cc37c2ce-b3d5-40b2-a5ac-455b0dc85f93)\n\n# The Complete Package\n\nYour BODYSIM subscription includes:\n\n* Quarterly DEXA scans\n* Withings Body Scan scale\n* Monthly at-home blood tests\n* Escali food scale for precise tracking\n* Daily body composition updates\n* Live signals like Resistance Training Intensity to adaptively steer to your goals\n* Personalized exercise and nutrition recommendations\n\n# Join Us\n\nJoin us in revolutionizing how people transform their bodies. With BODYSIM, you're not just getting another fitness app - you're getting a science-based, personalized system that guides you from where you are to where you want to be.\n\nReady to transform your body with confidence? Visit [bodysim.com](http://bodysim.com) today.", "url": "https://www.ycombinator.com/launches/LbW-bodysim-gain-muscle-and-shed-fat-with-a-digital-twin-of-your-body", "votes": 24, "created_at": "2024-08-14T20:27:45.090Z" } ] }, { "id": 12580, "name": "Voyage Biomedical", "slug": "voyage-biomedical", "former_names": [ "Voyage Biomedical Inc." ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc2de50e20e222a7884277e269a1efe34dfe261d.png", "website": "https://voyage.bio", "all_locations": "San Francisco, CA, USA; Berkeley, CA, USA", "long_description": "Acquired by Penumbra (NYSE:PEN).", "one_liner": "Using cooling to end brain damage during stroke.", "team_size": 3, "industry": "Healthcare", "subindustry": "Healthcare -> Medical Devices", "launched_at": 1556165412, "tags": [ "Hardware", "Neurotechnology", "Medical Devices" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Summer 2019", "status": "Acquired", "industries": [ "Healthcare", "Medical Devices" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": true, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/voyage-biomedical", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2019/voyage-biomedical.json", "year_founded": 2018, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc2de50e20e222a7884277e269a1efe34dfe261d.png", "app_video_url": null, "dday_video_url": "https://bookface-images.s3.us-west-2.amazonaws.com/video_event/45/1566337814965-a8vfx0lzgvf-43db43432b5134b893a40c7759ed463d/421658c884fd278719f235a518bbe9ac.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAQC4NIECABPQ2AHNW%2F20261020%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20261020T022644Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Signature=d32d9c210c93e65c47e07118652225226ed2fde8a333c333c8805990d485f445", "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 276914, "full_name": "Justin Olshavsky", "title": "Founder", "founder_bio": "Founder of Voyage Bio (S19, acquired by Penumbra), founding partner of Pioneer Bio+Health Fund", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jolshavsky/", "x_url": "https://twitter.com/olshav", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/8beae5cc238b762e5eeec94788aecd8ac75235f4.jpg" }, { "user_id": 288625, "full_name": "Robert Schultz", "title": "Founder", "founder_bio": "MD, heart surgery resident", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/robschultzmd", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6bdc4435522c5847612abfc51ce6cd0dc067a0df.jpg" }, { "user_id": 349311, "full_name": "Bridget Vaughan", "title": "Founder", "founder_bio": "", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/bridgetcvaughan", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eb0a10c54180e581d2ad33f6c97f8d6e3243ebfd.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 22934, "name": "Auricle", "slug": "auricle", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3befcbf94e33a69c5d761a78d1ff81c267da6aff.png", "website": "https://auricle.com", "all_locations": "San Francisco, CA, USA; Oakland, CA, USA", "long_description": "Auricle is a medical device company building a breakthrough neurostimulation implant to restore hearing in millions of patients who no longer benefit from hearing aids, get less than 60% on a word recognition test, but aren't prepared to make the jump to a cochlear implant. \r\n\r\nOur approach preserves remaining natural hearing through a reversible and less invasive surgery, addressing the key concerns that hold most patients back from getting a cochlear implant (currently the only treatment option for these patients).\r\n\r\nThe company spun out of Stanford Biodesign having completed two acute human clinical studies demonstrating the approach will work. The team is now focused on developing their full implant system for their first clinical trial. \r\n\r\nAuricle addresses a currently unserved profile of hearing loss that affects a growing population of 3.5 million patients in the US and represents an immediately accessible $1.2B market opportunity with existing reimbursement.", "one_liner": "Neurostimulation implant to restore hearing & speech understanding", "team_size": 2, "industry": "Healthcare", "subindustry": "Healthcare -> Medical Devices", "launched_at": 1680287454, "tags": [ "Hard Tech", "Neurotechnology", "Health Tech", "Medical Devices", "Healthcare" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Active", "industries": [ "Healthcare", "Medical Devices" ], "regions": [ "United States of America", "America / Canada", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/auricle", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/auricle.json", "year_founded": 2020, "city": "San Francisco", "country": "US", "linkedin_url": "https://linkedin.com/company/auriclehealth", "x_url": "https://twitter.com/auricleneuro", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3befcbf94e33a69c5d761a78d1ff81c267da6aff.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/6bc38e9898ae09e2c3b05e814c12b5abf8211660.png" ], "primary_partner": null, "founders": [ { "user_id": 586540, "full_name": "Francis Wong", "title": "Founder", "founder_bio": "I'm Francis, a UK-trained surgeon who worked in the National Health Service as a surgeon for 5 years. In 2012 I moved to the Bay Area to get my MBA/MPH at UC Berkeley. I've worked in several product management roles at startups including 23andMe and Castlight Health. I also founded Outcomes, Inc., a digital health startup enabling the routine use of patient-reported outcomes. Prior to Stanford, I worked at Haven in Boston and co-founded Auricle out of the Stanford Biodesign Fellowship.", "is_active": true, "linkedin_url": "https://linkedin.com/in/loaded", "x_url": "https://twitter.com/packeted", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a4ab023ff6e3e34ae20e78435ce77c1c8187b0f8.jpg" }, { "user_id": 589133, "full_name": "Jay Dhuldhoya", "title": "Founder", "founder_bio": "I am a medical device engineer and entrepreneur with a BA from Columbia and an MS from Rice in biomedical engineering. I have led R&D, quality, and manufacturing projects at Element Science, an SF-based Class 3 medical device start-up. I recently completed the Stanford Biodesign Innovation Fellowship where I co-founded Auricle.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/jaydhuldhoya/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/92bae1341bd83a4509297cd91f514b366eb122d9.jpg" } ], "jobs": [], "news": [ { "title": "Our favorite startups from YC's Winter 2023 Demo Day — Part 1 | TechCrunch", "url": "https://techcrunch.com/2023/04/05/y-combinator-demo-day-favorites-part-one/", "date": "Apr 05, 2023" } ], "launches": [] }, { "id": 23521, "name": "MindPortal", "slug": "mindportal", "former_names": [ "Aura-labs" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc6a4fe2e078ae61e81ab99d657be389a0238c71.png", "website": "https://www.mindportal.com", "all_locations": "London, England, United Kingdom", "long_description": "MindPortal is a pioneering AI research company advancing human-AI interaction by enabling people to communicate with computers and AI assistants purely through thought. As an AI company, we focus exclusively on model development rather than hardware. Our models are designed to be general-purpose, adaptable across a wide range of applications. Our flagship development, MindSpeech, is the first supervised AI model to translate imagined speech into text, enabling direct thought-to-language communication. MindSpeech has earned endorsements from leading experts, including Neuralink's former technical strategy head and DARPA’s N3 program lead scientist. Our thought-to-language AI models have the potential for transformative applications in fields such as healthcare, education, and VR/AR and our work has been featured in major publications such as Forbes, The Times, The Telegraph, and Business Insider. MindPortal has over 11 patents filed in the field and is backed by prominent investors such as Y Combinator.\r\n", "one_liner": "Thought-to-Language AI Models", "team_size": 10, "industry": "Consumer", "subindustry": "Consumer -> Consumer Electronics", "launched_at": 1614670242, "tags": [ "Neurotechnology", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2021", "status": "Inactive", "industries": [ "Consumer", "Consumer Electronics" ], "regions": [ "United Kingdom", "Europe", "Remote", "Partly Remote" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/mindportal", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2021/mindportal.json", "year_founded": 2019, "city": "London", "country": "GB", "linkedin_url": "https://www.linkedin.com/company/37420648/", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/bc6a4fe2e078ae61e81ab99d657be389a0238c71.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": null, "founders": [ { "user_id": 435017, "full_name": "Ekram Alam", "title": "Founder", "founder_bio": "Co-founder of MindPortal", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/ekram-alam-9b7869179/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/eedba3d31212148112224657859568f67a799064.jpg" }, { "user_id": 595712, "full_name": "Jack Baber", "title": "Founder", "founder_bio": "Co-founder of MindPortal", "is_active": false, "linkedin_url": "https://www.linkedin.com/in/jack-baber-489960168/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a75cfbff2e3124fdcfb420080688d3629b720903.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 23951, "name": "Mindstate Design Labs", "slug": "mindstate-design-labs", "former_names": [ "Kykeon Biotechnologies Inc.", "Kykeon Biotechnologies" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/f3509dac4b76d442f8f0aa79c2bda0b827e78798.png", "website": "http://mindstate.design", "all_locations": "San Francisco, CA, USA", "long_description": "Mindstate Design Labs is building the closed-loop science & engineering stack for rational psychoactive effect design.\r\n\r\nOur molecular-experience interface links molecular biology to the human psychopharmacodynamic profile to convert informal constructs like clarity, presence, or motivation into high-dimensional design targets.\r\n\r\nOur clinical program is a sequence of human demonstrations that psychoactive effects can be decomposed, recombined, and synthesized. 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Invested across frontier biology, software, and hardware; founded platforms in programmable genes, proteins, cells, and biological systems (AAV capsids, multispecific antibodies, TCRs, tumor microenvironment, etc.).", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/dillandinardo/", "x_url": "https://x.com/DillanDiNardo", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/41729e4fa34e1d10242ec7497294ef770ef1fa96.jpg" }, { "user_id": 580426, "full_name": "Tom Ray", "title": "Founder", "founder_bio": "BS in biology & chemistry Florida State University. MS & PhD in biology Harvard, tropical plant ecology. 1981 Society of Fellows U Michigan Ann Arbor. 1981-1998 faculty University Delaware, biology & computer science. 1993-2003 External Faculty of the Santa Fe Institute. 1993-1998 invited researcher ATR (Advanced Telecommunications Research Institute) Human Information Processing Research Labs in Japan. In 1998-present Professor of Biology & Computer Science OU. AAAS Fellow. http://tomray.me/", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/tom-ray-a44a59204/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/48c8126f83a5603784533cbe25427a6ae72ec7c4.jpg" } ], "jobs": [], "news": [ { "title": "FDA gives an early nod to psychedelic research - The Washington Post", "url": "https://www.washingtonpost.com/politics/2024/09/05/fda-gives-an-early-nod-psychedelic-research/", "date": "Sep 05, 2024" }, { "title": "Mindstate heads to the clinic with first AI-derived psychedelic", "url": "https://www.fiercebiotech.com/biotech/mindstates-first-ai-derived-psychedelic-heads-clinic", "date": "Mar 13, 2024" }, { "title": "Transforming Psychedelics into Approved Medicines", "url": "https://www.genengnews.com/insights/transforming-psychedelics-into-approved-medicines/", "date": "Oct 06, 2022" }, { "title": "Are Hallucinogen Look-Alikes Illegal? 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Spent four years at IQVIA shipping foundational AI code to production scaled for pharma and healthcare clients. Have conducted EEG research for 12 years, authored peer reviewed publications, spent more than four years in research hospitals conducting long-term EEG recordings, reviewing EEG recordings with expert epileptologists, participated in brain surgeries, and built capability around the brain. King's College London alum.", "is_active": true, "linkedin_url": "https://linkedin.com/in/sacellarius", "x_url": "https://twitter.com/dsacellarius", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/84bf0389a3a4b0642d6bc3158cf3b1b2331b6af5.jpg" } ], "jobs": [ { "id": 74300, "title": "Research Engineer - Foundational AI", "url": "https://www.ycombinator.com/companies/piramidal/jobs/neQ9JaN-research-engineer-foundational-ai", "location": "New York, NY, US / London, England, GB", "type": "Full-time", "role": "Engineering", "role_type": "Machine learning", "salary_range": "$120K - $280K", "equity_range": "", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Python", "Torch/PyTorch", "Distributed Systems", "Machine Learning" ] }, { "id": 85439, "title": "Front End Engineer - User Interface", "url": "https://www.ycombinator.com/companies/piramidal/jobs/EBwEaGc-front-end-engineer-user-interface", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Frontend", "salary_range": "$120K - $235K", "equity_range": "0.40%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "React", "TypeScript" ] }, { "id": 117065, "title": "Senior Backend Engineer - Platform", "url": "https://www.ycombinator.com/companies/piramidal/jobs/9Kv7wA5-senior-backend-engineer-platform", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Backend", "salary_range": "$250 - $300", "equity_range": "0.25% - 1.00%", "experience": "6+ years", "visa": "US citizen/visa only", "skills": [ "Amazon Web Services (AWS)", "Microsoft Azure", "Go", "Python", "Kafka" ] } ], "news": [ { "title": "Piramidal's foundation model for brain waves could supercharge EEGs | TechCrunch", "url": "https://techcrunch.com/2024/08/23/piramidals-foundation-model-for-brainwaves-could-supercharge-eegs/", "date": "Aug 23, 2024" } ], "launches": [ { "id": 78840, "title": "Piramidal: Foundation model for the brain 🧠", "tagline": "Get instant diagnosis for the vast majority of neurological conditions using our Foundational AI.", "body": "### **What is a brain foundation model?**\n\nWe are building a foundation model, from the ground up, trained on a massive and diverse corpus of brainwave data i.e. Electroencephalography (EEG). In other words, similar to how Large Language Models (LLM) are trained on human language ie. text, our model is trained on brain language ie. brainwaves. \n\nOur foundation model will be able to understand and detect the many facets of brain activity, from disease to wellbeing. Crucially, **similar to how ChatGPT can be fine-tuned to become a lawyer or a python developer, our brain foundation model will easily be fine-tuned to become a neurologist co-pilot or a biomarker discovery assistant.** And, this is only our first milestone - more on this below.\n\n![uploaded image](/media/?type=post&id=78840&key=user_uploads/1662387/900c449d-eefe-4a06-a12b-60617c60c437)\n\n### **The opportunity**\n\nOur brain foundation model will address a variety of use cases with minimal training, such as:\n\n* **Diagnosis** of a vast majority of neurological conditions.\n* Drug and **biomarker discovery** in clinical trials. \n* **Remote monitoring** of brainwave abnormalities, e.g., treatment response to drugs or sleep irregularities.\n* Real-time tracking of brain health, such as cognition or head injuries, measured through **helmets in sports and military**.\n* Empowering devices such as **Apple Vision Pro and Meta Quest** to translate brain signals into everyday actions.\n\n### **Why are we starting with neurological conditions?**\n\nDuring his PhD at London's St Thomas' EEG department, Dimitris discovered a key insight: EEG is a crucial test for neurological disorders, but its manual review process is both slow and error-prone. Specifically:\n\n* **Neurologists manually inspect the EEG** brainwaves to identify abnormal patterns. This can lead to a 30% margin of error and crucially misdiagnoses.\n* There is a **substantial rise of EEG data** being collected, due to the deployment of  remote EEG devices. Despite these remote devices continuously recording patients at home, there is no way to review this enormous and continuous stream of incoming data. \n* Conversely to the upward EEG data trend, **there is an extreme shortage of neurologists** leading to wait times lasting several months.\n\n### **Our first product**\n\nOur first product is **a copilot for epilepsy diagnosis**. The product, which is powered by our brain foundation model, will assist neurologists by obtaining diagnostic insights around a patient’s EEG, in real time. This approach cuts down the time to review EEG from hours to seconds. Additionally, our standardized EEG analysis reduces the margin of error from manual inspection, which in many cases leads to misdiagnosis and recurrent hospital visits.\n\nShortly after epilepsy, we will fine tune our foundation model to provide diagnosis for a vast majority of other conditions such as sleep and cognitive disorders.\n\n### **Who we are**\n\nWe are [Dimitris](https://www.linkedin.com/in/sacellarius/) and [Kris](https://www.linkedin.com/in/kris-pahuja-a59a905b/). Dimitris has a **PhD in neuroscience and AI**, and has been working on EEG for 12 years, but also shipped production level AI as a deep learning lead at IQVIA. Kris has a product background, building **healthcare and AI products across Google and Spotify**. We are both avid musicians and love punk rock. \n\n### **Our ask..**\n\nWe are looking for intros to:\n\n1. Neurologists, sleep doctors, neurotech companies, or companies in clinical trials in order to sign LOIs. We can automate the analysis of the brainwave (EEG) data at a fraction of their current cost.\n2. Academic or healthcare institutions that store EEG data. In exchange for accessing their EEG records, we will provide our model for free for research purposes.\n\nYou can send them our way to [info@piramidal.ai](mailto:info@piramidal.ai)!\n\nPlease also share our post and spread the world - you never know who it might help! 🖤", "url": "https://www.ycombinator.com/launches/KVc-piramidal-foundation-model-for-the-brain", "votes": 146, "created_at": "2024-02-28T04:10:49.070Z" } ] }, { "id": 29986, "name": "Exin Therapeutics", "slug": "exin-therapeutics", "former_names": [ "EI Therapeutics" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/61d9c34b51f9b98cbfdb92bc0014e3569c29b36c.png", "website": "https://www.exintherapeutics.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We use AI and high-throughput mouse studies to discover therapeutics that modify neural activity in the brain. The initial focus is on epilepsies associated with autism and Parkinson’s disease with the potential to expand to any neurological disorder underlined by a dysfunction in neural activity. Our R&D is guided by AI models trained on high-density multimodal mouse data generated in-house.\r\n\r\nWe are 3 Oxford-trained neuroscientists supported by an experienced SAB from Harvard, Science Corp (ex-Neuralink), EPFL, Meta, and UCL.\r\n\r\nIn 1.5 months since landing in SF, we went from nothing to (1) opening and operating an animal lab in South SF, (2) obtaining a proof-of-concept in mice, (3) building a multimodal AI model that directs our screening approach and (4) submitting two provisional patents; all while utilizing less than 50% of our YC funding. \r\n", "one_liner": "AI drug discovery platform for neurotherapeutics", "team_size": 9, "industry": "Healthcare", "subindustry": "Healthcare -> Therapeutics", "launched_at": 1736839155, "tags": [ "Neurotechnology", "Biotech", "Therapeutics" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2025", "status": "Active", "industries": [ "Healthcare", "Therapeutics" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/exin-therapeutics", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2025/exin-therapeutics.json", "year_founded": 2024, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/exin-therapeutics", "x_url": "https://x.com/ExinTx", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/61d9c34b51f9b98cbfdb92bc0014e3569c29b36c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/cd055cca84536bc9ad6e7a1e84a3823687aa371a.png" ], "primary_partner": { "name": "Jared Friedman", "url": "https://www.ycombinator.com/people/jared-friedman" }, "founders": [ { "user_id": 1960104, "full_name": "Gabriel Ocana Santero", "title": "Founder/CEO", "founder_bio": "Neuroscientist with a background in biochemistry and research on gene therapy, pancreatic cancer, and muscle physiology at institutions in Boston, Vienna, and Stockholm. Earned MSc in Neuroscience and PhD in Pharmacology at Oxford Uni, focusing on neurodevelopment and the effects of SSRI anti-depressants on early patterns of neural activity. Used neuroAI models at the Gatsby Unit (UCL) to study serotonin’s role in cognition. Currently developing gene therapies for neurological conditions. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/gabriel-ocana-santero-85b41819a", "x_url": "https://x.com/OcanaSantero", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b483f6b8a4938fa65104b5d508ef58c0f2961242.jpg" }, { "user_id": 1960211, "full_name": "Marko Tvrdic", "title": "Founder/COO", "founder_bio": "Co-founder at Exin Therapeutics.\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/marko-tvrdic/", "x_url": "https://twitter.com/markotvrdic", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e3d25553908165653f0f9a67c3c697b2db73ec48.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 86986, "title": "Exin Therapeutics: An AI discovery platform for neurotherapeutics", "tagline": "Precise modulation of neural activity across neurological disorders.", "body": "[Exin Therapeutics](https://www.exintherapeutics.com/) uses AI and high-throughput mouse studies to develop therapies for people suffering from neurological and neuropsychiatric disorders. We are tackling conditions like epilepsy, debilitating symptoms of autism spectrum disorder (ASD), and Parkinson’s disease by focusing on the neural circuitry of the brain.\n\n# **Why is this important?**\n\nMillions of people around the world suffer from neurological disorders. These disorders arise from imbalances in brain activity. Think of it like an orchestra where some instruments are playing too loud while others are too quiet. This “bad music” / neural imbalance—what we call excitatory/inhibitory (E/I) imbalance—is the root cause of many symptoms in these disorders. For example, in epilepsy, overactive circuits lead to seizures, while in ASD, it can cause sensory hypersensitivities - where individuals feel overwhelmed by normal sounds, lights, or touch that most people wouldn't even notice. These dysregulations in neural circuits impact how the brain processes information and responds to the world, leading to the debilitating symptoms we see in these disorders.\n\n# **Our solution**\n\nWe’re taking a circuit-level approach to treating brain disorders. Instead of trying to restore missing genes, we’re supplementing already existing genes that we know will be directly changing the neural activity in the brain - in the direction that we want and independently of the genetic background.\n\n![uploaded image](/media/?type=post&id=86986&key=user_uploads/89898/4181e602-6279-4611-9af3-73b0ccfca768)\n\nWe are also working on a multimodal AI model to streamline our preclinical R&D. Why? Well, because developing drugs for the brain is really tough. Every candidate needs to be tested for its ability to modulate circuits, and doing that through a traditional drug development preclinical pathway is a slow process.\\\n\\\nBecause of that, we use ML to analyze high-density multimodal data sets and prioritize which drugs are worth testing further. We use neural activity, behavior, and transcriptomics to train multimodal AI models that identify the drivers of the disease not observable by conventional analytical methods.\n\n![uploaded image](/media/?type=post&id=86986&key=user_uploads/89898/b1ad1c24-a513-4633-83f6-58378d1cb5d8)\n\nThen, we use these models to (1) predict the potential of our therapies to treat particular indications and (2) provide an efficacy readout during our internal experimental testing. This way, we spend our time (and funding) testing the most promising candidates.\n\n# **Our ask**\n\n1. Intros: If you have contacts in pharma, working on complementary tech, or have ideas for partnerships, we’d love to connect.\n2. We'd love to hear from people who have worked in therapeutics and people with IND-enabling programs or clinical trial design experience.\n\n# **Team**\n\nWe are a team of 3 Oxford-educated neuroscientists. [Gabriel](https://www.linkedin.com/in/gabriel-ocana-santero-85b41819a/?originalSubdomain=uk) is a biochemist with a wealth of research experience in neural development, gene therapy, and NeuroAI. He holds a PhD in Pharmacology from Oxford. [Ivan](https://www.linkedin.com/in/ilazarte/) is a physicist by training and has worked in molecular biology, circuit, and systems neuroscience. Ivan’s brother suffers from ASD and Ivan is on a mission to improve the quality of life for patients suffering from debilitating neurological conditions. He holds a PhD in neuroscience from Oxford. [Marko](https://www.linkedin.com/in/marko-tvrdic/?originalSubdomain=uk) has experience with iPSC models, retinal disorders, and circadian and developmental neuroscience. During his PhD, he worked in systems and behavioral neuroscience and holds an MSc from Oxford.\n\n![uploaded image](/media/?type=post&id=86986&key=user_uploads/1960211/5487d1f0-6cbc-4728-af74-a8377516e2d3)\n\nWe are supported by a team of advisors from top industry and academic institutions - including Harvard & UCL.", "url": "https://www.ycombinator.com/launches/Md0-exin-therapeutics-an-ai-discovery-platform-for-neurotherapeutics", "votes": 41, "created_at": "2025-01-20T22:29:09.667Z" } ] }, { "id": 32134, "name": "Parasma", "slug": "parasma", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/65a63b540239ee3a5538326d626bcceee19f52d9.png", "website": "https://parasma.com", "all_locations": "San Francisco, CA, USA", "long_description": "We train human brain cells for compute", "one_liner": "Replacing GPUs with human brain cells", "team_size": 2, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1782285260, "tags": [ "Machine Learning", "Neurotechnology", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Summer 2026", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/parasma", "api": "https://devasheeshg.github.io/yc-api/batches/summer-2026/parasma.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/parasma", "x_url": "https://x.com/ParasmaAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/65a63b540239ee3a5538326d626bcceee19f52d9.png", "app_video_url": null, "dday_video_url": null, "company_photos": [ "https://bookface-images.s3.us-west-2.amazonaws.com/attachments/adc99c68d73202b3a5001d44bbd5177d7a8335d0.png" ], "primary_partner": { "name": "Tyler Bosmeny", "url": "https://www.ycombinator.com/people/tyler-bosmeny" }, "founders": [ { "user_id": 3388159, "full_name": "Sean Cole", "title": "Founder/CEO", "founder_bio": "Founder at Parasma (YC S26)\n\nSkipped BS, MS in Artificial Intelligence w/ Distinction", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/sean-cole-8985a4207/", "x_url": "https://x.com/vytalow", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6f2d0bdfcf98a7f2843ea62be9a5893871caf196.jpg" } ], "jobs": [ { "id": 98189, "title": "Founding Scientist", "url": "https://www.ycombinator.com/companies/parasma/jobs/Vg7GVVl-founding-scientist", "location": "San Francisco, CA, US / Remote", "type": "Full-time", "role": "Science", "role_type": "Research", "salary_range": "$1M", "equity_range": "1.00% - 3.00%", "experience": "11+ years", "visa": "Will sponsor", "skills": [] } ], "news": [], "launches": [ { "id": 109992, "title": "Parasma: Training human brain cells for compute", "tagline": "In March, we trained them to play Doom; now we got them to do next-token prediction.", "body": "We train human brain cells for compute. In March, we trained them to play Doom; now we got them to do next-token prediction.\n\n![uploaded image](/media/?type=post&id=109992&key=user_uploads/3388159/cbefdb79-ad5b-4e03-ae35-d2a482a05351)\n\n![uploaded image](/media/?type=post&id=109992&key=user_uploads/3388159/ce53a90f-7180-4eab-b23e-d770a5e375a7)\n\n**The Problem**\n\nModern models require enormous amounts of energy and training data, while still struggling with continual learning and adapting efficiently to new tasks. Biological brains solve these problems very differently. They learn continuously, adapt from limited experience, and operate on roughly the power of a light bulb.\\\n\\\n**Solution**\n\nParasma is developing the algorithms and infrastructure needed to turn human brain cells into useful compute. The human brain is the most capable and energy-efficient learning system we know. Our goal is to reliably train biological substrates and use them for general computation, robotics, and eventually direct biological training. In March, we trained human brain cells to play Doom, which got hundreds of millions of views across social media. Since then, we’ve been working toward more general tasks. Most recently, we got the cells to perform token prediction: given a sequence of tokens converted to electrical stimuli, the neurons learn to predict what comes next with no GPU.\n\nLong-term, biological compute will offer orders-of-magnitude improvements in energy and sample efficiency, while enabling native continual learning.\n\n**Team**\n\nI previously worked on neuromorphic computing and reinforcement learning during my master’s.\n\nBefore that, I built a successful digital-item marketplace with > $1.7M of listed goods and played games professionally.\\\n\\\nCheck out our press release here:\\\n", "url": "https://www.ycombinator.com/launches/Sc4-parasma-training-human-brain-cells-for-compute", "votes": 10, "created_at": "2026-08-13T20:30:00.164Z" } ] }, { "id": 35392, "name": "Dydema", "slug": "dydema", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/85eacc9eef1101a2060cf6b9873797fd43445325.png", "website": "https://dydema.com/", "all_locations": "San Francisco, CA, USA", "long_description": "We’re building a brain-computer interface anyone can wear, so you can use a computer at the speed of thought. To get there, we’re recording brain data at model company scale.", "one_liner": "A consumer brain-computer interface you can map to anything.", "team_size": 2, "industry": "Consumer", "subindustry": "Consumer", "launched_at": 1790760468, "tags": [ "Hardware", "Neurotechnology", "Consumer", "Big Data", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "Consumer" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/dydema", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/dydema.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "https://www.linkedin.com/company/dydema", "x_url": "https://x.com/DydemaNeuro", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/85eacc9eef1101a2060cf6b9873797fd43445325.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Aaron Epstein", "url": "https://www.ycombinator.com/people/aaron-epstein" }, "founders": [ { "user_id": 2801705, "full_name": "Julian Weaver", "title": "Founder/CEO", "founder_bio": "Founder & CEO at Dydema. We're the model company for neurotech. Prev. founding engineer at Syntra (YC S24). Led EEG/fMRI AI research, dual BS in CS and neuroscience @ age 20, UT Austin.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/julian-weaver/", "x_url": "https://x.com/real_juliver", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/72c5843bb2a1b13ad8c4e88550b29be6e3e22009.jpg" } ], "jobs": [], "news": [], "launches": [] }, { "id": 36510, "name": "Preload", "slug": "preload", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b263628afee781ad6a54e9c6db03225c28f419f.png", "website": "", "all_locations": "San Francisco, CA, USA", "long_description": "", "one_liner": "Motor cortex for physical AI", "team_size": 3, "industry": "B2B", "subindustry": "B2B", "launched_at": 1791309539, "tags": [ "Neurotechnology", "Robotics", "B2B", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2026", "status": "Active", "industries": [ "B2B" ], "regions": [ "United States of America", "America / Canada" ], "stage": "Early", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/preload", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2026/preload.json", "year_founded": 2026, "city": "San Francisco", "country": "US", "linkedin_url": "", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/6b263628afee781ad6a54e9c6db03225c28f419f.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "David Lieb", "url": "https://www.ycombinator.com/people/david-lieb" }, "founders": [ { "user_id": 2592358, "full_name": "Leo Li", "title": "Founder", "founder_bio": "Founder at Preload (YC F26). PhD student in Computational Neuroscience at Caltech. Previously Neuroengineer at Neuralink and software engineer at Amazon. BASc in Engineering Science (Robotics) from University of Toronto. ", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/xhli/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/9c0efc1399732d18a1cae08e8dc423cd65c482c6.jpg" }, { "user_id": 381888, "full_name": "Surya Pandiaraju", "title": "Founder", "founder_bio": "Founder at Preload (YC F26). PhD candidate at Johns Hopkins BME, Waterloo BME grad\n\nPreviously worked at\n- Sonera Magnetics\n- iota Biosciences\n- NeuroPace\n- Paradromics", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/surya-p/", "x_url": "https://x.com/suryapandiaraju", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/478163db23333e5a3005d5e44a9329107a2af055.jpg" }, { "user_id": 3611501, "full_name": "Runming (Tony) Wang", "title": "Founder", "founder_bio": "Founder at Preload (YC F26). Biomedical Engineering PhD candidate at Johns Hopkins School of Medicine. Developed the first brain application of the Freeform Stimulator platform for focal cortical modulation. Performs animal neurosurgeries and fabricates neural recording and stimulation hardware. Previously conducted research at Emory/Georgia Tech on motor-unit coordination using EMG and motion tracking. BS in Neuroscience from Emory.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/runming-wang-090030139/", "x_url": "https://x.com/RunmingW", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/ba42b95280466fb10ddc011831ed7863ed708916.jpg" } ], "jobs": [], "news": [], "launches": [] } ]