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Primepoint

AI knowledge graph that reads and understands construction drawings end to end

3 open rolesSeed · $10M<50 peopleSan Mateo

Last verified August 15, 2026 · Updated daily

What Primepoint is building

Construction projects run on drawings. A large commercial build can have hundreds of technical drawings, each cross-referenced to schedules, specifications, RFIs, and submittals across dozens of documents. A project manager typically spends enormous time manually reconciling these: checking that a tag on a mechanical drawing matches its specification, that a revision on drawing A19 has been reflected in drawings B04 and C11, that the scope in the RFI actually aligns with what is shown. Primepoint automates this. Its AI knowledge graph connects every element in every drawing to every relevant document, then surfaces discrepancies, version conflicts, and unanswered questions that would otherwise stay buried until they cause delays or cost overruns. The AI assistant 'Marvin' answers project questions in natural language, grounded in actual project documents rather than a general model. It integrates with Procore, Autodesk Construction Cloud, and other standard GC tooling. Customer data is never used to train external models.

Why this matters

Construction is a $13 trillion global industry running on PDFs. The average large commercial project has hundreds of drawing revisions. The average project manager spends hours per week doing reconciliation that produces no new value. The average dispute or delay can be traced to a missed discrepancy between a drawing and a spec that nobody caught in time. AI has struggled with this problem because it requires more than language understanding: it requires reading linework, interpreting spatial relationships, following cross-references, and connecting that information to structured project data. Foundation models cannot do this reliably at project scale. Primepoint has built domain-specific computer vision and knowledge graph infrastructure to handle it. The fact that Yann LeCun, one of the three people most responsible for the modern AI era, made a personal angel investment is not just a credential. He was a colleague of co-founder Lubomir Bourdev at Facebook AI Research. He put his own money in because he understood the technical approach from the inside.

Investors: Navitas Capital (lead, $6M tranche), Penny Jar Capital, NextView Ventures, GS Futures, Aglaé Ventures, Angel: Dr. Yann LeCun (Turing Award winner, former Chief AI Scientist Meta, founding member Facebook AI Research)

Open roles at Primepoint

3 positions we're tracking. Roles are re-checked daily and removed when filled.

Senior ML Engineer / Computer Vision

San Mateo·Senior

First seen 3 months ago

Apply →

AEC Solutions Engineer / Customer Success

San Mateo·Mid-level

First seen 3 months ago

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Enterprise Sales / Business Development

San Mateo·Mid-level

First seen 3 months ago

Apply →

Hiring outlook

High. Small team of 8 with $10M raised and an explicit customer base of large commercial general contractors. Engineering and commercial expansion are the stated use of capital.

Hiring intensity: 7/8

Working at Primepoint

Primepoint: AI knowledge graph that reads and understands construction drawings end to end. Founded , currently <50 employees. At this stage, expect broad remit, direct access to founders, and equity that still means something if the company works out.

Most Primepoint jobs are based in San Mateo.

Frequently asked questions

How many jobs does Primepoint have open?

Primepoint currently has 3 open roles, last verified April 2026.

Does Primepoint hire remotely?

All current Primepoint roles are based in San Mateo.

What roles is Primepoint hiring for?

Primepoint is hiring across Engineering, Product. The most recent opening is Senior ML Engineer / Computer Vision.

How do I apply for a job at Primepoint?

Apply directly through the links above, or read our guide on how to actually get hired at Primepoint.

Where is Primepoint based?

Primepoint is headquartered in San Mateo, US.

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