Research
Inside χ-Bench’s healthcare workflows
A benchmark for complete healthcare workflows across providers and health plans.
Read the storyResearch, engineering, and ideas from Actava.ai.
Research
A benchmark for complete healthcare workflows across providers and health plans.
Read the storyResearch
How evaluation failures guide training data for a healthcare foundation model.
Read the storyProduct
How verified workflow experience supports training and checkpoint selection.
Read the story19 resources
ResourcesPDF
Health plans don't lack AI vendors. They lack agents that actually know how the plan runs. Claims, prior auth, appeals, member service. The rules live with the people working the queues, and those people usually sit outside the room where the agent gets built. So the agent ships fluent in generic healthcare and lost on your policies. A factory makes the same thing to spec, again and again. That's the frame here for agentic AI at a payer: a repeatable way to build agents instead of a one-off project that stalls after the pilot. ACTAVA puts business teams and technical teams on the same build, so the people who know the workflow own the agent-building process rather than reviewing it after the fact. You keep what gets built.
Bring one workflow your team still runs by hand. We'll show you the agent that runs it.
Research, engineering, and ideas from Actava.ai.
Research
A benchmark for complete healthcare workflows across providers and health plans.
Read the storyResearch
How evaluation failures guide training data for a healthcare foundation model.
Read the storyProduct
How verified workflow experience supports training and checkpoint selection.
Read the story19 resources
ResourcesPDF
Health plans don't lack AI vendors. They lack agents that actually know how the plan runs. Claims, prior auth, appeals, member service. The rules live with the people working the queues, and those people usually sit outside the room where the agent gets built. So the agent ships fluent in generic healthcare and lost on your policies. A factory makes the same thing to spec, again and again. That's the frame here for agentic AI at a payer: a repeatable way to build agents instead of a one-off project that stalls after the pilot. ACTAVA puts business teams and technical teams on the same build, so the people who know the workflow own the agent-building process rather than reviewing it after the fact. You keep what gets built.