[ { "id": 25572, "name": "RDash", "slug": "rdash", "former_names": [ "Rolling Banners", "91Squarefeet", "Rdash" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/def911c8f3c9b81c8e514a4f1b29d88c06452d30.png", "website": "https://www.rdash.io", "all_locations": "Gurugram, HR, India", "long_description": "RDash is an AI powered construction management software that unifies site teams, procurement, design and finance - out of box; Without requiring customer to stitch anything. We are fastest to deploy and compatible with most accounting and ERP tools.", "one_liner": "AI Powered Construction Management Software", "team_size": 80, "industry": "B2B", "subindustry": "B2B -> Infrastructure", "launched_at": 1639295631, "tags": [ "SaaS", "Construction", "B2B", "Architecture", "Infrastructure" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2022", "status": "Active", "industries": [ "B2B", "Infrastructure" ], "regions": [ "India", "South Asia" ], "stage": "Growth", "app_video_public": false, "demo_day_video_public": false, "app_answers": null, "question_answers": null, "url": "https://www.ycombinator.com/companies/rdash", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2022/rdash.json", "year_founded": 2021, "city": "Gurugram", "country": "IN", "linkedin_url": "https://www.linkedin.com/company/r-dash", "x_url": "https://x.com/rdash_io", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/def911c8f3c9b81c8e514a4f1b29d88c06452d30.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Brad Flora", "url": "https://www.ycombinator.com/people/brad-flora" }, "founders": [ { "user_id": 597723, "full_name": "Amit Bansal", "title": "Founder", "founder_bio": "Co-founder and CEO at Rdash.\n\nI am a Civil Engineering graduate and worked as a structural designer at WSP. I have done postgraduate in supply chain management and had a short stint at Madura Fashion (The largest fashion retailer in India) before co-founding quifers.com. Quifers is a logistics SaaS platform for big enterprises that got acquired in May 2021. \n\n\n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/amitbansal91/", "x_url": "https://twitter.com/abansal91", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e9a0c2681a3d886085e2e45a3da427123ecb2ed9.jpg" }, { "user_id": 839383, "full_name": "Puneet Bansal", "title": "Founder", "founder_bio": "Product Person\nI did my graduation in Civil engineering from IIT Delhi in 2012 and worked at WSP as a facilities designer-BIM professional for retail, mall, and engineering projects of UK and middle-east.\nI took to startup journey by joining Quifers ( a logistics a SAAS platform) as product manager in 2017. \nIn 2019, I co-founded 91Squarefeet.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/puneet-bansal-15656441/", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1d329a927109337bfa03900b22af80914ade9649.jpg" } ], "jobs": [], "news": [ { "title": "91Squarefeet Raises $10 Mn To Help Companies Build Retail Stores", "url": "https://inc42.com/buzz/91squarefeet-raises-10-mn-to-help-companies-build-retail-stores/", "date": "Sep 13, 2022" }, { "title": "91 Squarefeet News: 91 Squarefeet capitalises on retail expansion, grows 20% month on month despite Covid - The Economic Times", "url": "https://economictimes.indiatimes.com/industry/services/retail/91-squarefeet-capitalises-on-retail-expansion-grows-20-month-on-month-despite-covid/articleshow/90438888.cms", "date": "Mar 25, 2022" }, { "title": "Retail platform 91Squarefeet raises pre-seed funding from Omphalos Ventures, others | VCCircle", "url": "https://www.vccircle.com/retail-platform-91squarefeet-raises-pre-seed-funding-from-omphalos-ventures-others", "date": "Jan 07, 2022" } ], "launches": [] }, { "id": 29367, "name": "Draftaid", "slug": "draftaid", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f9c73afb8a385d3fa57d5e1f327411fc22e4445.png", "website": "https://draftaid.io/", "all_locations": "Toronto, ON, Canada", "long_description": "DraftAid is the world's first generative AI for CAD manufacturing drawings, akin to GitHub Copilot but for CAD. It drastically shortens drawing creation time, turning hours into seconds.\r\n\r\nEvery product that is manufactured - from construction to aerospace, automotive, durable goods, and electronics—relies on drawings. Currently, engineers and designers painstakingly make these essential drawings manually. Draftaid streamlines this process saving teams millions in time and quality. \r\n\r\nThe idea was born out of Abdullah's experience as a mechanical design team member, where he created thousands of drawings and longed for a more efficient process. Partnering with Tahsin, a neighbour with a PhD in AI, and Mohammed, a seasoned engineering VP with experience in construction software, they turned the dream into reality.\r\n\r\nSince their launch in August, DraftAid has engaged customers through targeted outreach and word-of-mouth, securing paid pilots with subsequent contracts valued at $150,000.\r\n\r\nBe a part of ushering in the new era of CAD designs!", "one_liner": "Go from 3D models to CAD drawings using AI", "team_size": 14, "industry": "B2B", "subindustry": "B2B -> Engineering, Product and Design", "launched_at": 1704853466, "tags": [ "Construction", "Design", "Manufacturing", "Architecture", "AI Assistant" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Winter 2024", "status": "Active", "industries": [ "B2B", "Engineering, Product and Design" ], "regions": [ "Canada", "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/draftaid", "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/draftaid.json", "year_founded": 2023, "city": "Toronto", "country": "CA", "linkedin_url": "https://www.linkedin.com/company/draftaid", "x_url": "", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/0f9c73afb8a385d3fa57d5e1f327411fc22e4445.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 290663, "full_name": "Mohammed Al-arnawoot", "title": "Founder/CEO", "founder_bio": "Founder and CEO of DraftaidHe studied Mechatronics engineering at University of Waterloo with a focus on manufacturing systems. Before DraftAid, Mohammed worked as a Director of Engineering at Dozr, a Series B construction tech company. Where he wore many hats building a rockstar engineering team to deliver a new category of product. Before that he was a VP of eng. at Emagin (acquired by Innovyze), where he lead product solution development.", "is_active": true, "linkedin_url": "https://linkedin.com/in/mohammed-al-arnawoot-6a102a66", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/6247127378655c8621e18a32e6f6f8b7fbef2766.jpg" }, { "user_id": 1653010, "full_name": "Abdullah Elqabbany", "title": "Founder/CPO", "founder_bio": "Abdullah is an electromechanical engineer with years of experience in design and manufacturing. In his last role Abdullah led manufacturing process automation where he worked to bridge the gap between design and manufacturing. Prior to that, he worked as a drafter where he made thousands of CAD drawings shaping Toronto’s skyline. DraftAid is the culmination of years of experiences solving the biggest challenges facing teams trying to go from design to manufacturing as efficiently as possible.", "is_active": true, "linkedin_url": "https://linkedin.com/in/abdullah-elqabbany-8160551a8", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/614a2af2b5de0ecb967e2380328587e7589ba936.jpg" }, { "user_id": 1653070, "full_name": "Tahsin Rahman", "title": "Founder/CTO", "founder_bio": "Cofounder and CTO of Draftaid, Tahsin has a PhD from the University of Toronto in Electrical and Computer Engineering. He has pioneered algorithms and machine learning techniques at the intersection of geometry, wireless communications, and quantum computing. Previously, he led a team of engineers and researchers in developing cyber security AI/ML systems for the Canadian Department of National Defence. Rewind 10 years and you would see him orchestrating instrumentation systems in Oil and Gas.", "is_active": true, "linkedin_url": "https://linkedin.com/in/muhammed-tahsin-rahman", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1eeb12f305ad162c2f4ffd7d8e0c120896b8fa2b.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 78878, "title": "DraftAid: Automate your CAD drawings with AI!", "tagline": "Engineers designing everything from cars to skyscrapers use our software to turn 3D models into the detailed 2D fabrication drawings that manufacturers require.", "body": "# TLDR\n\nMechanical engineers and designers dedicate around 40% of their time to the labor-intensive process of converting 3D models into 2D fabrication drawings, crucial for manufacturers. Using [**DraftAid**](https://draftaid.io/), teams can automate this process with a single click and:\n\n* Save considerable time\n* Direct their focus toward more value-added tasks\n* Cut down on drawing errors, preventing expensive manufacturing mistakes\n\n# **The problem**\n\nModern design teams initiate their design by 3D modeling. To get their design manufactured, they need to make 2D drawings that look something like this:\n\n![uploaded image](/media/?type=post&id=78878&key=user_uploads/89898/590e3017-c1e8-4987-a30a-2c8469a2a8d6)\n\nMaking 2D drawings for what’s already been modeled in 3D takes up considerable time and energy. Design teams find themselves stuck investing 40% of their time in this manual task. This causes project delays while keeping talented designers busy doing repetitive tasks.\n\nLike any other repetitive manual task, making drawings can also be quite error-prone. Even with accurate designs, errors often sneak in and are only found when fixing them is an expensive endeavor.\n\n# **Enter DraftAid:**\n\nOur innovation streamlines the drafting process making it as effortless as a single click. Once engineers complete their 3D design, a single click swiftly produces a manufacturing-ready 2D drawing within seconds.\n\nThe resulting drawing is entirely editable, allowing engineers to make any necessary adjustments before sending it off for manufacturing.\n\nDraftAid allows teams to slash their current drawing time by up to 90% and eliminate common drawing errors. This not only enhances efficiency but also ensures consistency in drawings throughout the company, improving overall readability.\n\n![uploaded image](/media/?type=post&id=78878&key=user_uploads/290663/9f289b2c-ea8a-4f13-9a4e-f317ac9cd804)\n\n# **Meet the Power Trio:**\n\nWe are Mohammed, Abdullah, and Tahsin, a formidable team with a bond forged over three dynamic years of collaboration.\n\nBefore the inception of DraftAid, [**Mohammed Al-arnawoot**](https://www.linkedin.com/in/mohammed-al-arnawoot/)’s journey included roles as a software engineer and later as a VP of engineering (@ Emagin, acquired by Innovyze) and a Director (@ Dozr) in several start-ups. Navigating the challenging terrain from pre-seed to Series X.\n\n[**Abdullah Elqabbany**](https://linkedin.com/in/abdullah-elqabbany-8160551a8) is an electro-mechanical engineer who boasts a career marked by the creation of tens of thousands of drawings. Frustrated by the absence of a suitable drawing automation tool in his last role, he took matters into his own hands and built one from scratch.\n\n[**Tahsin Rahman**](https://linkedin.com/in/muhammed-tahsin-rahman) is a distinguished PhD graduate from the University of Toronto, who brings a wealth of experience in developing cutting-edge machine-learning solutions. In his previous role, he spearheaded an engineering team within the Canadian National Defence, crafting an AI-powered cybersecurity solution.\n\n# Our Ask:\n\n* Share our solution with any Construction or Automotive design companies you know.\n* Warm intros to design companies that spend a lot of time making drawings — email us at [mohammed@draftaid.io](mailto:mohammed@draftaid.io).\n* Follow us on [**Linkedin.**](https://www.linkedin.com/company/draftaid)", "url": "https://www.ycombinator.com/launches/KWE-draftaid-automate-your-cad-drawings-with-ai", "votes": 16, "created_at": "2024-02-28T23:52:36.882Z" } ] }, { "id": 30845, "name": "Structured AI", "slug": "structured-ai", "former_names": [], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b994637fa890bb7d41d69d022b3d15f6e4f3e8c.png", "website": "https://www.getstructured.ai/", "all_locations": "New York City, NY, USA", "long_description": "Structured AI is the most advanced AI-powered QA/QC platform for drawing packages, working across both PDF drawings and native Revit models. Architects and engineers use our platform to make every drawing set leave the office with certainty. \r\n\r\nOur AI agents learn your firm's standards, apply the relevant codes, and read every page of a set, then return a clear list of what's wrong, where it sits, and how to fix it. Run compliance reviews across thousands of pages in minutes, chat with your drawings for sourced answers, build custom checks in plain English, compare versions, overlay disciplines, and close out comments - all within a single platform, with a full audit trail on every finding.\r\n\r\nFor decades, the last line of defense on a drawing set has been a red pen at the end of a deadline week. But buildings have outgrown the red pen. A modern set runs thousands of drawings, and the errors hiding between them threaten quality and safety, not just cost. What manual review misses resurfaces as RFIs, change orders, and field rework, paid for in time, margin, and reputation.\r\n\r\nStructured AI catches those errors before they leave the office, capturing the judgment of your best reviewer once and applying it everywhere.\r\n\r\nBetter drawings build a better world. #GetStructured", "one_liner": "The AI drawing review platform for architects and engineers.", "team_size": 11, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1759212406, "tags": [ "Computer Vision", "Construction", "Architecture", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": true, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "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/structured-ai", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/structured-ai.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/getstructured-ai/", "x_url": "https://x.com/getstructuredai", "fb_url": null, "cb_url": "https://www.crunchbase.com/organization/structured-ai", "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/7b994637fa890bb7d41d69d022b3d15f6e4f3e8c.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Tom Blomfield", "url": "https://www.ycombinator.com/people/tom-blomfield" }, "founders": [ { "user_id": 1527607, "full_name": "Raymond Zhao", "title": "Founder/CEO", "founder_bio": "Cofounder & CEO @ Structured AI, the AI workforce for construction engineering, \nMaths & Stats @ Oxford, ex quant @ Goldman Sachs. \n", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/raymondz1/", "x_url": "https://x.com/stingrayzz22", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/1cbbee4d694fafca111cf86dc84d19d825ff0d50.jpg" }, { "user_id": 1980623, "full_name": "Issy Greenslade", "title": "Founder/COO", "founder_bio": "Cofounder & COO @ Structured AI, the AI workforce for construction engineering. Top of year Economics & Management @ Oxford University, previously IB at Greenhill & VC at Future Planet Capital.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/isabelgreenslade/", "x_url": "https://x.com/Green181024", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/e1d9ab429d7fe98ac409eb160b5330e6c4be1745.jpg" }, { "user_id": 2338111, "full_name": "Brandon Abreu Smith", "title": "Founder/CTO", "founder_bio": "Cofounder & CTO @ Structured AI, making the AI workforce for construction design engineering.\nPhysics @ Oxford University | First authored NeurIPS paper, 30 citations.", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/brandon-abreu-smith/", "x_url": "https://x.com/brandonstarxel", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/7aa033f9847f2ead9af2c7e8315fa9408138279e.jpg" } ], "jobs": [ { "id": 85823, "title": "Founding Engineer", "url": "https://www.ycombinator.com/companies/structured-ai/jobs/Cxvgr61-founding-engineer", "location": "New York, NY, US", "type": "Full-time", "role": "Engineering", "role_type": "Full stack", "salary_range": "$120K - $250K", "equity_range": "0.50% - 2.00%", "experience": "Any (new grads ok)", "visa": "Will sponsor", "skills": [ "Python", "TypeScript", "Computer Vision" ] }, { "id": 98428, "title": "Founding Account Executive ", "url": "https://www.ycombinator.com/companies/structured-ai/jobs/DaRbXNw-founding-account-executive", "location": "New York, NY, US", "type": "Full-time", "role": "Sales", "role_type": null, "salary_range": "$130K - $220K", "equity_range": "0.30% - 1.50%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [] }, { "id": 115779, "title": "Founding Infrastructure Engineer", "url": "https://www.ycombinator.com/companies/structured-ai/jobs/vZdpLe1-founding-infrastructure-engineer", "location": "New York, NY", "type": "Full-time", "role": "Engineering", "role_type": "Devops", "salary_range": "$180K - $250K", "equity_range": "0.50% - 1.00%", "experience": "3+ years", "visa": "US citizen/visa only", "skills": [ "Microsoft Azure", "Kubernetes", "Python", "Docker", "Terraform" ] } ], "news": [ { "title": "Construction Quality Startup Structured AI Raises $4.2M Seed Round", "url": "https://www.enr.com/articles/63139-construction-quality-startup-structured-ai-raises-42m-seed-round", "date": "Jun 09, 2026" }, { "title": "Structured AI Founders named Forbes 30 Under 30", "url": "https://www.forbes.com/profile/structured-ai/?list=30under30-europe-ai/", "date": "Apr 13, 2026" }, { "title": "I'm Glad I Gave up My Goldman Sachs Dream: Y Combinator AI Startup CEO - Business Insider", "url": "https://www.businessinsider.com/accepted-y-combinator-ai-startup-batch-dream-working-goldman-sachs-2025-10", "date": "Oct 23, 2025" }, { "title": "WSJ: Europe’s AI Startups Look Stateside for Bigger Checks, Quicker Deals", "url": "https://www.wsj.com/tech/ai/europes-ai-startups-look-stateside-for-bigger-checks-quicker-deals-1a1dff43?", "date": "Oct 04, 2025" } ], "launches": [ { "id": 94607, "title": "Structured AI📐: Agentic workforce for construction design engineering", "tagline": "Our AI workforce generates design documents and checks them for errors, right inside your existing software.", "body": "### **TL;DR**\n\nStructured AI is building the **AI workforce for construction design engineering**, starting with AI agents that perform quality control on technical documents and drawings. Our agents learn your standards, apply the right building codes, and **automatically review your drawings**, so you see fewer clashes, fewer inconsistencies, and fewer costly RFIs and change orders.\n\n* ⚙️ **Automates QA/QC** across mechanical, electrical, structural and more\n* 🧩 Used by **multi-disciplinary design firms** to deliver projects faster with less risk\n* 🚀 **Mission:** Free engineers to focus on creative design, not repetitive admin\n\nLaunch Video: https://youtu.be/CRFsqOTynng\n\n### **❌ The Problem**\n\nThe construction industry's reliance on manual \"spot-checking\" for design errors costs **$177 billion** annually to fix mistakes that are discovered too late.\n\nSenior Engineers spend up to **50%** of their time cross-referencing 100-page drawing sets against 2,000-page building regulations by hand. This process is slow, tedious, and unreliable.\n\nErrors that are missed become exponentially more expensive to correct once construction is underway, causing massive project delays and budget overruns.\n\n---\n\n### **⚙️ The Solution**\n\nStructured AI is the **AI Quality Assurance platform.**\n\n1. **Proprietary Vision & Agents:** We trained a foundational vision model on **thousands** of engineering symbols to read plans like an expert.\n2. **100x Faster, 150% More Errors:** Our AI checks 100-page blueprints against 2,000 pages of building codes **in minutes.**\n3. **Cross-trade Checks:** Learns firm standards to detect inconsistencies across documents, drawings and Revit models, reducing cross-trade clashes before they occur.\n\n ![uploaded image](/media/?type=post&id=94607&key=user_uploads/1527607/252c0ccd-bd5b-4118-b05f-1f9767d981a6)\n\n\n---\n\n### **👷‍♀️ The Team**\n\nThe team is made up of **Oxford University–trained AI researchers** with deep experience building software tools for AEC and enterprise automation, having developed and scaled in-house AI tools at **Syska Hennessy Group**, a top US MEP (mechanical, electrical, plumbing) engineering firm. \n\n* **Brandon (CTO):** Authored papers for **NeurIPS** and **ChromaDB** (reviewed by Stanford's AI Lab) and created the first open-source **RAG chunking evaluation** framework.\n* **Raymond (CEO):** Built automation at **Goldman Sachs** and the **London Stock Exchange**; implemented an AI system at a £1B VC that increased deal flow 20×.\n* **Issy (COO):** First undergrad Director at Oxford's VC Fund, led investments later backed by a16z and Tim Draper; previously investment banking at **Greenhill.**\n\n### **🏗️ Why Construction Engineering?**\n\nBrandon started coding and making games when he was 12. At 17, a YouTube video he made demonstrating a fighter jet trained with deep reinforcement learning to dodge missiles went viral. This led to him being scouted by a US construction contractor to apply that same algorithm to MEP pipe routing optimization. He then spent the next six years, throughout high school and university, contracting and building AI tools for the construction and engineering industry. He later led innovation and scaled AI tools in-house at a top US engineering firm, ultimately spinning out with his team to form Structured AI.\n\nRaymond initially pursued architecture and engineering, but was talked out of the profession during an internship. Junior architects warned him about the extensive manual \"grunt work\" that defined their roles, a prospect that deterred him so much he switched his studies to Maths & Stats at Oxford. He now views his work freeing engineers from these very tasks as a full-circle moment, allowing them to focus on their passions.\n\n![uploaded image](/media/?type=post&id=94607&key=user_uploads/1527607/1e2f9415-f8f3-419c-92d8-0e007f9919b9)\n\n---\n\n### **🙏 Our Ask**\n\nIf you lead **mechanical, electrical, civil, or structural design teams** and want to automate documentation or QA workflows, we’d love to show you Structured AI.\n\n👉 Book a call: https://www.getstructured.ai/ \n\n📩 Contact: [info@getstructured.ai](mailto:info@getstructured.ai) ", "url": "https://www.ycombinator.com/launches/Obv-structured-ai-agentic-workforce-for-construction-design-engineering", "votes": 212, "created_at": "2025-10-14T19:17:28.011Z" } ] }, { "id": 30911, "name": "Helonic", "slug": "helonic", "former_names": [ "Articulate" ], "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/336d43aeb77b236c25b003848175a054e780ccbc.png", "website": "https://helonic.com", "all_locations": "New York City, NY, USA", "long_description": "We help construction teams eliminate rework, delays, and drawing confusion before construction starts.
We analyze PDF plans, detect clashes and inconsistencies across disciplines, and create draft RFIs so teams can resolve issues early.\r\n\r\nThis saves construction companies hundreds of hours and millions of dollars.\r\n\r\nWhat we do:\r\n- Automatically detect clashes, missing information, and drawing mismatches\r\n- Align architectural, structural, and MEP plans so everything matches across sheets\r\n- Generate draft RFIs from issues we find\r\n- Replace long page-turn meetings with instant drawing analysis\r\n- Reduce rework and prevent schedule delays before boots hit the ground\r\n\r\nWe integrate with:
Procore, Autodesk, email, and the tools teams already use\r\n\r\nTeams use us to:\r\n- Save hundreds of thousands to millions of dollars per project\r\n- Catch design and coordination issues early\r\n- Reduce RFIs and prevent field fixes\r\n- Keep projects on schedule with fewer surprises\r\n\r\nContact us at founders@helonic.com", "one_liner": "Automatic Construction Drawing Clash Detection ", "team_size": 2, "industry": "Real Estate and Construction", "subindustry": "Real Estate and Construction -> Construction", "launched_at": 1760131149, "tags": [ "Construction", "B2B", "Workflow Automation", "Architecture", "AI" ], "tags_highlighted": [], "top_company": false, "isHiring": false, "nonprofit": false, "batch": "Fall 2025", "status": "Active", "industries": [ "Real Estate and Construction", "Construction" ], "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/helonic", "api": "https://devasheeshg.github.io/yc-api/batches/fall-2025/helonic.json", "year_founded": 2025, "city": "New York City", "country": "US", "linkedin_url": "https://www.linkedin.com/company/helonic", "x_url": "https://x.com/HelonicAI", "fb_url": null, "cb_url": null, "github_url": null, "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/336d43aeb77b236c25b003848175a054e780ccbc.png", "app_video_url": null, "dday_video_url": null, "company_photos": [], "primary_partner": { "name": "Pete Koomen", "url": "https://www.ycombinator.com/people/pete-koomen" }, "founders": [ { "user_id": 2463466, "full_name": "Milind Sagaram", "title": "Founder/CTO", "founder_bio": "Co-Founder @ Helonic\nEx. SpaceX, BMW, NG\nIllinois Alum", "is_active": true, "linkedin_url": "https://www.linkedin.com/in/milind-sagaram", "x_url": "", "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/b9ab6e4960bf447e4ab5d732825808df30c0d34e.jpg" } ], "jobs": [], "news": [], "launches": [ { "id": 94785, "title": "Helonic: Automatic Construction Drawing Issue Detection", "tagline": "Catch issues in drawings before they appear on site", "body": "**TL;DR:** Helonic is the AI platform that helps **construction companies, architects, and civil engineers** catch design errors and avoid costly rework before construction begins. We automatically detect clashes and discrepancies, and generate RFIs and save construction companies hundreds of hours and millions of dollars.\n\n**Launch Video: [https://youtu.be/sen1fR6e7n4](https://youtu.be/sen1fR6e7n4)**\n\n**❌ The Problem:**\n\n* Drawings and specs are often incomplete or inconsistent, leading to design clashes and costing companies **hundreds of millions of dollars**\n* Mechanical, structural, and architectural plans don’t align, forcing long coordination cycles and rework\n* Incorrect blueprints and outdated revisions cause crews to build from the wrong designs, especially in fast-paced solar installations\n\n**✅ The Solution:**\n\nHelonic automatically finds issues in construction drawings.\n\n* **Detect design discrepancies automatically:** AI identifies clashes across MEP, structural, architectural, and solar layouts before they reach the field.\n* **Instantly generate RFIs:** Proactive document and drawing auditing allows project managers and installers to stay focused on building.\n* **Integrated and proactive:** Helonic connects with Procore, Revit, Autodesk, Outlook, Gmail, Google Drive, SharePoint, Bluebeam, and more\n\n**About Us:**\n\nMilind is from Chicago. He’s an engineer who worked at SpaceX, Northrop Grumman, and BMW. At SpaceX, he built critical satellite and ground station hardware test infrastructure for Starlink. He also graduated with a degree Computer Engineering from the University of Illinois.\n\n**🦺 Our Ask:**\n\n* If you know any project managers or superintendents at general contractors, we’d love an introduction.\n* If you know directors or executives at construction or solar firms who are improving design coordination or workflows, we’d love to connect with them.\n* Visit us at [helonic.com](http://usearticulate.com) or contact us at [founders@helonic.com](mailto:founders@helonic.com)!", "url": "https://www.ycombinator.com/launches/Oen-helonic-automatic-construction-drawing-issue-detection", "votes": 35, "created_at": "2025-10-20T19:45:41.152Z" } ] } ]