Supio builds an agentic AI platform purpose-built for plaintiff litigation practices. The tech stack—AWS, PostgreSQL, Python, TypeScript, Node.js, React, plus legal-vertical integrations (Clio, Filevine, Litify, SmartAdvocate)—reflects a vertically focused SaaS product with real-time backend and modern frontend layers. Active projects around fine-tuned LLMs for document summarization, RAG pipelines, and intake automation signal heavy investment in case-intelligence automation. Hiring velocity is accelerating across engineering and go-to-market roles, yet deployment reliability and time-to-value remain internal friction points.
Supio is a Seattle-based AI platform serving plaintiff law firms with tools to automate case management from intake through resolution. Founded in 2021 and backed by Sapphire Ventures and Thomson Reuters Ventures, the company has built an agentic system designed to connect intake workflows, case analytics, and firm-wide operations into a single continuously learning system. The product emphasizes security and compliance by design. The 51–200 person team is distributed across engineering, marketing, sales, product, finance, and support, with active hiring across all functions.
AWS (Lambda, RDS, IAM, VPC), PostgreSQL, Python, TypeScript, Node.js, React, Go, plus GCP and Azure. For legal-vertical integrations: Clio, Filevine, Litify, SmartAdvocate. Business tools: Salesforce, HubSpot, Marketo, Gong.
ML pipelines for document classification and case analysis; fine-tuned LLMs for summarization; intake automation and third-party integrations (Litify, SmartAdvocate); AWS infrastructure resilience and observability; release pipeline automation.
Supio'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.