Escrow and fund management for surrogacy and egg donation arrangements
SeedTrust Escrow manages client funds for surrogacy and egg donation journeys, but its stack reads like a modern fintech build: Next.js, TypeScript, Go and PostgreSQL on AWS, plus AWS Bedrock, LangChain, LlamaIndex and vector stores like Pinecone and Weaviate. With Flask and jQuery being phased out and a Technical Lead search underway, the company is rebuilding its legacy platform and adding AI agents for case intake and review.
Notable leadership hires: Technical Lead
SeedTrust Escrow is a privately held escrow provider founded in 2015 and headquartered in West Palm Beach, Florida. It serves intended parents, surrogates and egg donors, holding and disbursing funds throughout collaborative reproduction arrangements. Clients use a proprietary portal to view their escrow file, disbursement schedules, contracts and receipts at any time. The firm is run by a CPA and an attorney, and client money sits in an attorney trust account overseen by the Florida Bar. The company employs between 51 and 200 people.
SeedTrust uses Next.js, React, TypeScript, Tailwind CSS, Node.js, Python, Go, PostgreSQL and MySQL on AWS, with AI tooling including AWS Bedrock, LangChain, LlamaIndex, Pinecone and Weaviate.
Yes. Hiring is accelerating and focused mostly on senior engineering, including a Technical Lead role, alongside finance hiring tied to reconciliation and audit work.
Current work includes migrating legacy systems to a modern stack, building a core case and workflow platform, AI agent workflows for case intake, and payment reconciliation reporting.
Other companies in the same industry, closest in size
SeedTrust Escrow's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.