Standard Solar Cuts Solar Deal Reviews From Months to Days

The Challenge

When Standard Solar's deal team receives a new project, inboxes fill and the data room opens with hundreds of files: leases, permits, interconnection agreements, drawings, and PDFs. Dozens of specialists across legal, engineering, construction, and project management would rigorously review every document. As the portfolio grew, the volume of data outpaced the team's capacity, threatening to slow acquisitions.

The Solution

Spark brought Standard Solar an AI diligence tool specifically trained for energy, capable of reading every document and answering every question. Within weeks, adoption spread from legal to engineering, construction, and project management. Each department built custom question sets tailored to the clauses and details they cared about most, running them across entire data rooms in minutes. Every answer stayed locked to source documents—nothing guessed, assumed, or hallucinated.

Scaling Diligence Without Scaling Headcount

When Standard Solar's deal team receives a new project, the clock starts immediately. Inboxes fill, and the data room opens with hundreds of files: leases, permits, interconnection agreements, drawings, and PDFs. In each one, there might be a small piece of information that could make or break the deal. Patrick Chandler, Senior Project Manager, recalls how dozens of specialists used to rigorously review hundreds of files, but as the portfolio grew, the volume of data did too. Legal checked leases and easements. Engineering verified setbacks and technical details. Construction looked for insurance clauses and schedules. With expanding project pipelines, the company saw an opportunity to bring more efficiency and consistency across departments.

From One Team to Four

Then Spark arrived—an AI diligence tool specifically trained for energy, capable of reading every document and answering every question. At first, it was just a tool for the legal team. But within weeks, other departments began to notice. Engineering wanted in. So did construction, and then project management. Each department built its own question sets, tailored to the clauses and details they cared about most. Patrick could now run those question sets across an entire data room and surface every relevant answer in minutes.

Traceable, Verifiable Answers

The team could trust what they were seeing because Spark's answers stayed locked inside the boundaries of their own documents. Nothing was guessed, assumed, or hallucinated. If Spark surfaced a clause, it came straight from the source file, ready to verify. The legal team no longer needed to outsource reviews that had already been vetted internally. Analysts could focus on making decisions instead of annotating PDFs.

Faster Deals, Fewer Surprises

Most importantly, Standard Solar could move faster on acquisitions while keeping its process transparent and secure. In a workflow where accuracy is non-negotiable, Spark earned the trust of a company that manages hundreds of megawatts in active projects. That combination of precision and pace has strengthened the company's reputation with its developer partners. Deals close faster, questions get answered sooner, and both sides walk away with fewer surprises. Spark has become the quiet connector making that consistency possible—giving every department the same clear view, the same confidence, and the same speed.

Results