A $200M solar project gets financed on the strength of a few thousand PDFs: ground leases, interconnection agreements, offtake contracts, permits, title. Analysts read them line by line, by the hour. The documents arrive out of order, in the wrong formats and scanned sideways. The term that kills the deal is on page 74 of a second amendment to an amendment. That review is the bottleneck between capital and megawatts on the grid.
BuildQ accelerates those projects. Our platform has processed 200,000+ documents across 1,100+ projects for the developers, IPPs and funds building multi-billion-dollar solar, wind and storage portfolios.
Most AI companies sell you a tool and wish you luck. We’ve moved to AI-native services. Our customers don’t just use BuildQ to run diligence; they order diligence from BuildQ. An agent builds the deal’s document set, extracts and cites the terms, drafts the site control and interconnection deep-dives, and assembles the IC memo. A human expert signs it. The customer gets a finished work product ahead of their deadline, with our name on the line.
You’ll join our current two-person engineering team as the founding AI/ML engineer. You own the intelligence: document understanding, retrieval, extraction, predictive risk and benchmarking models, the agent architecture, and the evals that decide whether a change reaches a customer.
The bar isn’t a good benchmark score. A fund underwrites a real transaction on what the system produces. If the extraction is wrong, a fund makes a bad decision. You’ll build systems that are measurably right, that know when they aren’t, and that say so.
To apply, email [email protected].