AI-powered document automation for specialty finance underwriting
Heron automates document-heavy workflows—primarily underwriting for insurance, equipment financing, and MCA lenders—using LLMs to extract and enrich data at scale. The company processes tens of thousands of documents daily, including over 20 million bank transactions. Their tech stack (Python, FastAPI, GCP/AWS, React) reflects a backend-heavy, data-intensive architecture; current hiring leans engineering (5 of 14 roles) and sales (4), suggesting they're scaling both processing capacity and land-and-expand motion across their 150+ customer base.
Heron, founded in 2020 and based in New York, builds AI-driven document automation for specialty finance companies—MCA funders, equipment lenders, insurers, and fintechs. The core product eliminates manual underwriting bottlenecks by automating document ingestion, data extraction, enrichment, and summarization. With 150+ customers embedded in their critical workflows, Heron processes high-volume financial documents and transaction data at scale. The company operates as a small, engineering-forward team in the 11–50 employee range, actively hiring across backend infrastructure, sales coverage, and product development.
Python, FastAPI, Flask, Terraform, GCP, AWS, React, and HubSpot for sales operations. The stack emphasizes backend scalability and cloud infrastructure.
New York, NY. The company was founded in 2020 and is actively hiring in the United States and United Kingdom.
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