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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.
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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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19 resources
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ACTAVA | Healthcare Simulation Engine (HealthVerse)
HealthVerse is ACTAVA’s healthcare simulation engine, a live environment of 27 interconnected apps spanning both sides of the care ecosystem. Provider tools cover patient charts, prior authorization, FHIR exploration, and care management. Payer tools cover intake, clinical review, policy library, appeals, peer-to-peer scheduling, and EDI/API gateways. Together, they give teams a realistic place to build, test, and demo healthcare AI agents.
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ACTAVA | The AI Factory for Healthcare Staffing
A look at how ACTAVA applies prebuilt agents to the slow parts of healthcare staffing: sourcing, screening, licensure, exclusion checks, and I-9s. Every action runs behind a human approval gate with a full audit trail, so recruiters stay on the relationships that fill the req.
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ACTAVA | Measuring Agentic ROI (Implementation Guide)
Every agent in ACTAVA KORA is tracked like a member of the workforce, with KPIs set when the agent is built and rolled up to the value drivers executives already watch. For finance and operations leaders, it's a defensible answer to whether a given agent is earning its keep.
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ACTAVA | Capacity Doctrine Whitepaper (Executive Summary)
The ACATAVA Capacity Doctrine argues that enterprises must abandon traditional, flawed budgeting models—such as treating AI as FTE substitution or SaaS subscriptions—and instead classify agentic AI as "cognitive utility infrastructure." Because agentic AI costs vary in real time with business activity, organizations should adopt a Total Cost of Agent Capacity (TCAC) framework. This framework, which measures consumption in "Orchestration Units" (akin to kilowatt-hours), enables CFOs to govern cost envelopes, CTOs to manage agent fleet health through "Scale, Fix, or Stop" postures, and CISOs to integrate security and compliance directly into the operational lifecycle.
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ACTAVA | The AI Factory for Pharma
Regulatory submissions, medical writing, pharmacovigilance case processing, and MLR review are document-heavy, cross-system work that generic AI executes inconsistently. This resource covers how ACTAVA runs that long tail as governed, repeatable workflows, with a named human owner at every GxP-critical decision point.
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ACTAVA | The Agentic Innovation Engine
Actava.ai is the Enterprise AI Sovereignty Platform for Healthcare — the agentic innovation engine that carries agent ideas from prototype to production on one governed foundation. Your teams build, including those without engineers. And every agent carries a budget, a benchmark, an evaluation, and a named owner before it touches a claim, a chart, or a patient.
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ACTAVA | The AI Factory for Care Management
A look at how ACTAVA standardizes the way care management AI agents get built, tested, deployed, and improved. For operators who want governed digital co-workers handling the repetitive work, so care teams can practice at the top of their license.
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ACTAVA | The AI Factory for Behavioral Health
A look at how ACTAVA builds agents for longitudinal behavioral health: tested against clinical rubrics before deployment, run with a clinician in the lead, and backed by an audit trail for every action. Built on your protocols, in your cloud, on your model.
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ACTAVA | χ-BENCH | Huggingface
CHI-Bench evaluates AI agents on end-to-end U.S. healthcare workflows across three long-horizon domains: provider prior authorization, payer utilization management, and population care management. Each task hands the agent a clinical case in a high-fidelity simulator of 20 healthcare apps exposed over MCP, with a 1,279-document Managed-Care Operations Handbook skill, and asks it to drive the case through tool calls and artifact authoring. This Hugging Face repository ships the task fixtures and shared worlds. The runner, judge, harness, Docker image, and CLI live in the source repository at actava-ai/chi-bench. The Managed-Care Operations Handbook skill is distributed as a separately gated Hugging Face dataset, actava/managed-care-operations-handbook (size + clinical-author provenance); request access there, then download it with your HF token.
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