AI agents that draft client-ready deliverables for investment bankers
Farsight builds AI agents that turn banker judgment into finished financial deliverables for investment banking and private equity teams. The stack pairs Python, Hugging Face and Pinecone retrieval with a heavily automated AWS footprint (ECS, Lambda, CDK, CloudFormation), and engineering-led hiring centers on generative AI infrastructure and CI/CD, while a first VP-level sales hire suggests the go-to-market motion is being built from scratch.
Farsight is a New York City-based, privately held software company founded in 2022 with 51–200 employees. It sells an AI platform to financial services firms, particularly investment banks and private equity, that automates workflows such as financial modeling, CIM generation and pitch deck production. The product captures banker edits and decisions and applies them across the deal lifecycle. The company runs on AWS with a React and TypeScript front end and hires in the United States.
Farsight runs on AWS (ECS, Lambda, RDS, CloudFront, CDK, CloudFormation) with Docker and Kubernetes, Python and Hugging Face for AI, Pinecone for retrieval, React and TypeScript on the front end, and HubSpot for marketing.
Yes. Hiring is accelerating and weighted toward mid- and senior-level engineering, focused on cloud infrastructure for generative AI, CI/CD and infrastructure-as-code, with smaller marketing and sales openings in the United States.
Farsight is building agentic systems that produce client-ready financial deliverables, retrieval systems grounding them in financial data, evaluation and quality systems, and cloud infrastructure for generative AI workloads.
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Farsight'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.