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Project Cornerstone

USA, California
Market: Building, Artificial Intelligence
Stage of the project: Operating business

Date of last change: 13.08.2026
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Idea

Project Cornerstone is a private, permissioned AI context layer for architecture, engineering, and construction, to achieve large savings across a project value chain.

Current Status

One paying customer, a mid-size architecture firm. A five-figure design-partner assessment is concluding now, product deployment is planned in the next 2 to 3 weeks, and a $250K phased contract with our design partner is in negotiation, targeted to finalize after August vacations. The design partner is referring us to large developers and GCs, and there is early subcontractor interest via referral. A venture fund is evaluating a $250K investment into the round. Platform foundations were built solo in 8 weeks: 4+ live PoC projects on real drawings, and output matched the expert reference.

Problem or Opportunity

Work in architecture, engineering, and construction arrives in waves. Hiring for the peak breaks cash flow in the trough, so firms deliberately run understaffed and turn away work. On top of that, project context (drawings, firm standards, local code rules) gets lost at every handoff from developer to architect to GC to trades, so teams redraw and re-answer things that already exist in their own archives. Labor is the industry's largest fixed cost, and today it cannot flex with demand.

Solution (product or service)

Project Cornerstone is a private, permissioned AI context layer for architecture, engineering, and construction. Think Claude Code for AEC. Teams use it instead of generic AI tools: it sits on top of Revit, ACC, and PDFs, reads the firm's own drawings, standards, and code context, and returns cited work a human reviews before it ships. Workflow packs recover repeated production work, modeled at up to 30% of a phase's spend. It starts with the architect, then the developer, GC, subs, and trades share one project context.

Business model

Firms subscribe per seat ($50 to $100 per user per month plus workflow packs), projects subscribe per workspace, and usage is metered. A single deployment models at about $40K in MRR for a mid-size architecture firm or a developer-sponsored project across the value chain. The firm subscription and each project workspace recur separately and add up across a portfolio.
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