Research
Inside χ-Bench’s healthcare workflows
A benchmark for complete healthcare workflows across providers and health plans.
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Research, engineering, and ideas from Actava.ai.
Research
How Cura 1T learns through evaluation
How evaluation failures guide training data for a healthcare foundation model.
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Training specialized models with Model Factory
How verified workflow experience supports training and checkpoint selection.
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117 videos
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ACTAVA | Agentic Workforce | Referrals That Reach the Specialist and Come Back
Sending a referral doesn’t tell you what happened to it. When a handoff goes quiet, no one can say whether the case is moving or waiting, and that’s where care gaps begin. This ACTAVA video shows referral intake, coverage checks, and prior authorization drafting routed to human reviewers. Explicit approval states and a run history for every referral put paused cases in front of the team, so they don’t show up later as a missing outcome.
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ACTAVA | Agentic Workforce | Trial Work Without Duplicate Actions
A new agent run does not mean the request needs to go out again. Shared completion state lets trial work resume after a retry, a pause, or an overlapping assignment without repeating an action that already succeeded.
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ACTAVA | Agentic Workforce | Eligibility Answered Before the Patient Arrives
The front desk is the wrong place to discover a coverage problem. Eligibility checks triggered by incoming cases or run across the upcoming schedule bring exceptions forward while there is still time to correct them.
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ACTAVA | Agentic Workforce | Going Live Without Risking Real Patients
A working demo is not permission to contact a patient. ACTAVA shows how synthetic test cases, scripted dialogues, and human approval keep rehearsal separate from live patient contact.
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ACTAVA | Agentic Workforce | Prior Authorizations That Don't Stall in the Queue
A completed step should not leave a prior authorization waiting for someone to move it along. ACTAVA connects agent handoffs with a visible approval queue, so teams can see which cases need a person and resume work after sign-off.
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ACTAVA | Model Factory | Build AI You Can Own
Recorded agent trajectories become training environments, so teams can train specialized models, check them against held-out tasks, catch overfitting, compare checkpoints to the base model, and ship the chosen version behind a stable API. ACTAVA Model Factory is in Customer Preview.
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ACTAVA | Agentic Workforce | Enrollment That Doesn't Lose People Halfway Through
Benefits enrollment drops off when a form asks a policy question the employee cannot resolve. This ACTAVA Agentic Workforce concept shows an assistant using approved policy sources to answer qualifying life event, dependent eligibility, and deadline questions, then routing every change to HR for sign-off.
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ACTAVA | Agentic Workforce | Agents That Make the Next Agent Easier
Most teams can ship one agent. The hard part is the tenth. This ACTAVA video walks through the reusable connections, shared knowledge, skills, agent libraries, and governance that let each new agent inherit the work already done, instead of starting from scratch.
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ACTAVA | Agentic Workforce | A Billing Answer That Doesn't Need a Callback
Billing calls repeat because the first explanation didn't match the plan document behind it. This ACTAVA video shows benchmark datasets, repeatable experiments, grounded knowledge, and defined reviewer groups applied to billing answers, so the member gets a response that holds up the first time.
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