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 articles
Company1 min read
A conversation about load testing, observability, and diagnosing failures across long-running agent workflows.
Company1 min read
Why evaluation needs to cover the work clinicians actually do.
Company1 min read
A conversation about red-teaming, controllability, and security boundaries for enterprise agents.
Company2 min read
The partnership announcement describes how Actava.ai combines OpenAI models with workflow execution, evaluation, and configured governance controls.
Company1 min read
Actava.ai announces its Select Partner relationship and focus on governed healthcare workflows.
CompanyIn the news
Health system leaders say reliable benchmarking, governance and workflow design must come before scaling agentic AI across administrative operations. Johns Hopkins Medicine is taking a deliberately cautious approach to agentic AI, focusing first on proving reliability and governance before expecting measurable financial returns.
CompanyIn the news
As health care increasingly adopts AI, experts say reliability and governance may matter more than model size.
CompanyIn the news
ACTAVA AI released Cura 1T, a healthcare-specialized LLM trained through what the authors call a human-gated self-evolution loop. In each round, a training agent plans a target capability, trains the model, evaluates benchmark trajectories, and refines the data mixture from failures.
Company8 min read
A new procurement channel for the Actava.ai platform through AWS Marketplace.
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 articles
Company1 min read
A conversation about load testing, observability, and diagnosing failures across long-running agent workflows.
Company1 min read
Why evaluation needs to cover the work clinicians actually do.
Company1 min read
A conversation about red-teaming, controllability, and security boundaries for enterprise agents.
Company2 min read
The partnership announcement describes how Actava.ai combines OpenAI models with workflow execution, evaluation, and configured governance controls.
Company1 min read
Actava.ai announces its Select Partner relationship and focus on governed healthcare workflows.
CompanyIn the news
Health system leaders say reliable benchmarking, governance and workflow design must come before scaling agentic AI across administrative operations. Johns Hopkins Medicine is taking a deliberately cautious approach to agentic AI, focusing first on proving reliability and governance before expecting measurable financial returns.
CompanyIn the news
As health care increasingly adopts AI, experts say reliability and governance may matter more than model size.
CompanyIn the news
ACTAVA AI released Cura 1T, a healthcare-specialized LLM trained through what the authors call a human-gated self-evolution loop. In each round, a training agent plans a target capability, trains the model, evaluates benchmark trajectories, and refines the data mixture from failures.
Company8 min read
A new procurement channel for the Actava.ai platform through AWS Marketplace.