01Agent Studio
Drag the flow together: ingestion, redaction, chunking, retrieval.
An Inference Analytics product
inferagents.ai
Build intelligent AI agents. Any model. Any workflow.
The model-agnostic AI agent development studio that reduces token costs for healthcare and regulated enterprises.
- 10×
- faster to build and ship an agent
- Lower
- token costs, same capability
Why InferAgents
Three things that set it apart
Reduce token costs
Cut token spend without cutting capability: InferAgents trims context, picks the right model for each step and keeps consumption within budget.
Any model, no lock-in
Choose supported commercial, open-source or private models based on quality, latency and cost.
Build and orchestrate
Create agents that combine reasoning, knowledge, tools and multi-step workflows in a visual studio.
How it works
From idea to a governed agent
Design
Assemble agent logic and workflows visually.
Connect
Add knowledge sources, models, applications and APIs.
Optimize
Tune context, model choice, quality and token economics.
Deploy and govern
Test, version, release and monitor with enterprise controls.
Inside the product
The studio your engineers use
01
02Knowledge Hub
Choose the embedding model and build the vector store behind it.
Scroll to explore
What’s included
Everything an enterprise agent needs
Token cost reduction
Context, model choice and budgets, tuned to cut spend.
Visual agent builder
Design agents and multi-step workflows in InferAgents Studio.
Any model, no lock-in
Commercial, open-source or private, chosen per task.
Enterprise knowledge and RAG
Agents grounded in trusted documents and data.
APIs and tools
Agents that act in the systems you already run.
Security and lifecycle governance
Permissions, audit, versioning and release control.
Questions
Common questions
What is InferAgents?
InferAgents is the Inference Analytics dev studio for AI agents, at InferAgents.ai. It is model-agnostic and token-optimized: teams visually build, orchestrate and deploy agents that connect data, applications and AI models, with enterprise governance built in. Its visual builder is InferAgents Studio.
How does InferAgents reduce token costs?
Reducing token costs is what InferAgents is built for. It sends each model only the context it needs, retrieves only relevant knowledge, picks the right model for each step, so routine steps don't run on the most expensive model, and makes usage visible per user, team and agent with budget controls.
Who is InferAgents for?
IT, informatics and engineering teams in healthcare and other regulated enterprises. At University of Chicago Medicine, the health system's own IT organisation builds agents in it directly.
Which AI models does InferAgents support?
Supported commercial, open-source and private models. Teams choose a model per task based on quality, latency and cost, and can change it without rebuilding the agent.
Is InferAgents self-serve?
No. InferAgents is set up with each organisation and hosted on major cloud providers, with a business associate agreement signed before any protected health information is used.
Do you need to write code to build an agent?
Not for the common cases: agents are assembled visually from ready-made stages. Connecting new source systems and approving production releases remain engineering work.
How does InferAgents compare with Microsoft Copilot Studio or Amazon Bedrock AgentCore?
Copilot Studio and Bedrock AgentCore are general-purpose agent tools tied to one cloud. InferAgents is built for healthcare and regulated enterprises and works across model providers. Our sourced comparison of HIPAA-compliant agent platforms sets out where each one fits.
Comparing platforms? Read our sourced comparison of HIPAA-compliant AI agent platforms →