The future of healthcare, powered by AI
Baseten enables teams to build AI-powered healthcare breakthroughs on secure, reliable, and compliant infrastructure
Build the next generation of healthcare
Empower teams to ship AI products that solve real healthcare challenges - from improving patient satisfaction to reducing clinician burden
Digital receptionists
Build AI assistants that automate patient check-ins, appointment scheduling, and inquiries.
Health related chatbots
Build chatbots that provide personalized mental health support, symptom triage, and guidance for caregivers.
Medical scribes
Automate clinical voice transcription, documentation, note generation, and translation.
Healthcare innovation without infrastructure overhead
Baseten applies the latest model performance research to enable mission critical use cases within healthcare with low latency, high reliability and cost-effectiveness. Secure by design, private by default.
Enterprise-grade compliance
SOC-2 Type II and HIPAA compliant with flexible hosting and data residency with region-restricted cloud deployments.
Reliability at scale
99.99% uptime and infinite scaling through a unified GPU pool spanning 10+ clouds eliminating single points of failure.
Flexible deployment options
Deploy models on Baseten Cloud, self-host, or flex on demand with Baseten Hybrid. We’re compatible with every cloud.
24/7 technical expertise
Our engineers work as an extension of your team to customize deployments to meet your target latency, throughput, reliability, and cost.
Millisecond response times
Low p99 latencies ensure every user gets a fast response - turning performance into competitive advantage.
Lower GPU costs
Automatic scale-to-zero and per-minute billing ensure GPU costs scale directly with active inference, not overhead.
Baseten helped us train models to be 23x faster and is projected to save us $1.9M, while making the process so easy that even non-ML engineers could get results in under 30 minutes.
Baseten helped us train models to be 23x faster and is projected to save us $1.9M, while making the process so easy that even non-ML engineers could get results in under 30 minutes.
Healthcare innovation starts here
Talk to an engineer