ai-copilots
(4)
Spine AI (YC S23)
Spine AI (YC S23) is a San Francisco startup building coordination software for AI agents. Its current product, Medley, is a plugin for Claude Code: you type /mission and Medley breaks the request into a plan, spins up a coordinated team of agents across different models, runs them in parallel with human approval gates, and tracks the whole job on a shared mission board. Founded by Akshay Budhkar and Ashwin Venkatesh Raman, the company argues that a governed team of agents beats any single model working alone.
Autonomize AI
Autonomize AI is an Austin-based healthcare technology company building an AI-native platform - the 'Autonomize Intelligence Platform' - that embeds governed, agentic AI directly into clinical and operational workflows for health plans, providers, and life sciences organizations. Founded in 2022 by Ganesh Padmanabhan and Kris Nair, the company turns mountains of unstructured healthcare data into structured intelligence, deploying pre-built AI agents and copilots for tasks like utilization review, prior authorization, care management, and clinical chart review. It says its systems save roughly 36,000 clinical hours per month across Fortune 100 healthcare customers, and it raised a $28 million Series A in June 2025 led by Valtruis, The Cigna Group Ventures, and Tau Ventures.
Cassidy
Cassidy is a New York-based enterprise AI platform that lets non-technical teams build AI agents and multi-step automations powered by their own internal company data. By connecting large language models to a business's knowledge base, tools, and real-time data, Cassidy automates complex, context-heavy workflows - customer support triage, RFP responses, CRM updates from sales calls, lead qualification and internal knowledge sharing - without writing code. Founded in 2023 by Justin Fineberg and Ian Woodfill, the company raised a $10M Series A in 2025 and is used by more than 20,000 teams.
TwinKnowledge
TwinKnowledge is a New York-based AI company building custom copilots for the architecture, engineering, construction and operations (AECO) industry. Its platform connects to a firm's structured and unstructured data across 30+ tools and document repositories, then trains project-specific or company-wide AI agents that analyze construction documents, drawings, submittals and RFIs. The goal: catch scope conflicts and non-compliant designs before they become expensive rework, answer RFIs in seconds instead of days, and stop the institutional knowledge that walks out the door with every retiring engineer.