Pulse was built for advanced AI teams and high-stakes enterprise workflows, using a hybrid stack of VLM, OCR, and custom vision models that deliver the accuracy and control modern organizations expect.

"We tested other OCR and LLM-based approaches, including Claude, Gemini, and a few vendor tools. Pulse was the only one that consistently handled the real-world documents we see across clinics. It is fast, accurate, and reliable, so it has become core infrastructure for us.”

“Across our evaluations, Pulse was the first system that consistently delivered 99 percent plus accuracy on real claims packets and policy documents. It held up across scale, formats, and edge cases, which gave us confidence to move forward with an enterprise-wide rollout.”

“We ran Pulse on a backlog of historical contracts purely to test it. The extraction quality was steady across versions, states, and drafting styles. That level of consistency is rare in legal tech and saved us weeks of manual review.”

“Our biggest challenge was normalizing rent rolls, T-12s, and lender templates that never follow the same structure twice. Pulse interpreted these documents with high precision and produced consistent outputs our models could use immediately. It removed an entire layer of manual reconciliation.”

“Freight paperwork moves faster than people can and we needed something that could keep up. Pulse gave us steady outputs even when the document quality wasn’t perfect, which is the norm in global logistics. It helped us avoid small errors that used to snowball downstream.”