Counsel Health was built around a tension at the center of consumer health AI: patients want instant answers, but medical advice carries real risk if it is wrong or unsupervised. Counsel's approach is to pair the speed and availability of AI with the judgment and accountability of licensed physicians. The result is what the company calls a responsible front door to healthcare — an AI-driven entry point that can answer questions, triage symptoms, and guide patients to the right next step around the clock, while keeping clinicians in the loop where it matters.
The company's consumer-facing product is an AI chatbot that members can use to get immediate, conversational help with health concerns. Behind the AI sits a network of licensed physicians who supervise and back up the system, so that the platform can scale instant access without sacrificing safety. This physician-supervised model is the core of Counsel's pitch: it aims to deliver care that is simultaneously faster, safer, and more cost-effective than either an unsupervised chatbot or a traditional telehealth queue.
Counsel raised an $11M seed round led by Andreessen Horowitz in October 2024, then followed with a $25M Series A in October 2025 co-led by a16z and GV. The Series A coincided with the launch of its next-generation AI care platform and consumer chatbot. The capital is earmarked for growing Counsel's physician network, continued AI investment, and enterprise partnerships with payers, employers, and provider groups — the buyers who can deploy Counsel to large member populations.
By the time of its Series A, Counsel reported serving more than 100,000 members nationwide across several partnerships, with a path toward millions more. Its target customers are organizations responsible for the health and cost of large populations: health plans, self-insured employers, and provider groups that want to give members a smarter, lower-friction entry point into care. Counsel's strategic differentiation is the explicit human-in-the-loop design — a bet that in regulated, high-stakes consumer health, physician supervision is not a limitation but the very feature that makes AI trustworthy and adoptable at scale.