Pre-Seed · On-Prem AI · Construction Projects
Your Construction IP.
On-Prem.
Intelligent on Every Project.
Turn drawings, Revit models, specs, RFIs, contracts, and schedules into a private project intelligence layer that runs on your hardware. Vision-language models (VLMs) and language models (LLMs) answer real estimator, VDC, and PM questions without a single file ever leaving your network.
All your projects, one private intelligence layer
Analyze years of drawings, Revit models, RFIs, specs, contracts, schedules, and purchase orders locally so project history lives on hardware you control, not in someone else's cloud.
DrawingIQ runs VLM agents over drawings and LLM pipelines over text, indexing the full project corpus for project-aware search and Q&A.
Built for mission‑critical questions, not chat toys
Answer RFIs, change orders, and “have we ever done this detail before?” in everyday language, grounded in your actual project history—not a generic model that has never seen your jobs.
Protect your construction IP by design
Drawings, contracts, construction methods, and schedules stay 100% inside your environment. No prompts, embeddings, or documents are sent to public LLM APIs or vendor clouds.
Turn lost search time into engineering capacity
Knowledge workers lose 20–30% of their working week to searching for information or recreating work that already exists. In AEC project teams, where knowledge is buried across Revit models and project archives, DrawingIQ makes that institutional knowledge instantly discoverable.
Why Now: 2026 Is the Inflection Point
1. VLMs Are Finally Good Enough
Vision-language models now reach state-of-the-art results on document and drawing understanding benchmarks, and paired LLM pipelines make it practical to reason across mixed drawing and text data on in-house hardware sized to each firm.
2. Construction IP Protection Is a Board-Level Issue
Post-2025, enterprise legal teams are actively auditing AI vendor ToS. “We never send your data out” is now a buying trigger — especially for drawings, contracts, and proprietary construction methods.
3. Every Competitor Went Cloud-Only
ReadMyPlans, Togal, Bild AI, Kreo, Document Crunch — not one offers on-premises AI for construction projects. The space is wide open.
“2026 is the year of AI in AEC—new VLM-powered product capabilities are giving operators the same magical moments lawyers and doctors had in 2025.”
—Jonas Ciplickas, Scale Venture Partners, Feb 2026
The Next $10B Wave
| Market Segment | 2026 | Projection | CAGR |
|---|---|---|---|
| AI in Construction (Global) | $6.2B | $32.0B (2033) | 26.4% |
| AEC Software (Global) | $12.0B | $18.0B (2031) | 8.4% |
| Construction Doc Mgmt | $2.5B | $5.8B (2035) | 8.8% |
| AI Doc Processing (US) | $4.8B | — | 36–42% |
Sources: Persistence Market Research, Mordor Intelligence, Wise Guy Reports, Celiveo (2024–2026)
$2.5M Seed: From Demo to On-Prem Pilots
We are raising up to $2.5M in staged capital, beginning with an initial $500K close to move from working demo to on-premises pilots.
Five ENR and AEC firms are already lined up to test once a production-ready build is available.
Let’s Talk About Joining the First Cohort
We're raising up to $2.5M in staged capital, beginning with an initial $500K close to take DrawingIQ from working demo to on-premises production pilots with our first customers.
If you’re exploring on-premises AI for construction projects—or investing in the platforms that will power it—let’s talk about how this fits your roadmap.
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