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Build the AI agent platform for AEC.

Today the agent drafts proposals inside Microsoft Word and Adobe InDesign, grounded in each firm's real project history, live with customers. Tomorrow is the rest of the work: kickoff, QA/QC, compliance, client comms. Every workflow that isn't the engineering itself. We're hiring.

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How we work

Six principles we actually use.

01

Empiricism over vibes

We build evals before we ship features and measure output quality, not token counts. Applied AI that works in the real world gets there by looking at the data.

02

Taste is the work

The product isn't code. It's proposals that win or lose eight-figure contracts. Making AI produce work a principal engineer would put their name on is the entire job.

03

Vertical depth is the moat

Our customers know more about remediation, inspection, and infrastructure than we ever will. Our job is to amplify their judgment, not replace it.

04

Ship close to reality

We sit on customer calls, read losing proposals, and own the loop from RFP to ship. No handoffs.

05

Rigor at the trust boundary

When the output goes to a regulator or a procurement officer, hallucinations cost real money and real reputation. Schemas, evals, provenance: the discipline is what makes the product possible.

06

Small team, high leverage

A handful of people own everything, shipping features they designed from code they're still answering for a year later.

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