
COHORT
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Piper-ai
The AI Operating System for Preconstruction
Too much preconstruction time is spent assembling information, not improving the work. Days are lost finding, extracting, and reconciling information across drawings, specs, addenda, quotes, schedules, and spreadsheets, and senior team members cannot personally review every scope, bid, estimate, schedule, and project decision. Piper turns that fragmented process into a repeatable preconstruction system. It brings drawings, specs, addenda, subcontractor quotes, estimates, and spreadsheets into one connected project context, combines the live project with your historical data, templates, standards, and expert checks, and produces scopes, bid leveling sheets, estimates, and project reviews in your own formats, with every finding linked to its source. Piper removes busy work from the critical path and turns the package into decision-ready, source-linked clarity.
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Meet the Team
CEO | Harvey for construction at Piper-ai
Ido Gedanken
Started university at 14, led a robotics team that finished 2nd in the world, served in an elite military rescue unit, and later worked at Microsoft on products used by hundreds of millions of users. That path shaped how I think: from first principles, across complex systems, and under pressure. I’m drawn to problems that are hard, messy, and consequential. And this is how one defines construction, an industry with enormous complexity and massive economic impact, where tens of billions are lost when teams make critical decisions without resources to fully understand the job.
Co-Founder & CTO at Piper-ai
Erez Tepper
Started university at 14, founded and led a nationwide education organization at 16 with 400+ volunteers, and later built and deployed AI systems in production, before the generative AI boom, across defense, government, physics, and enterprise. That path shaped how I think: in systems, under constraints, and in real-world complexity. I’m drawn to messy, high-stakes problems where decisions matter, and software has to work beyond the lab. That’s what drew me to construction- a deeply complex industry where critical decisions are still made under time pressure, fragmented information, and hidden risk.