01Agent Studio
Drag the flow together: ingestion, redaction, chunking, retrieval.
An Inference Analytics product
inferagents.ai
Build enterprise AI agents. Without model lock-in.
InferAgents is the visual development and orchestration studio for building, testing, and deploying enterprise AI agents. Connect models, knowledge, applications, and tools to create intelligent workflows with governance throughout the development lifecycle.
- 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.
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What’s included
Everything an enterprise agent needs, from build to production
Visual Agent Development
Design agents and multi-step workflows in InferAgents Studio.
Multi-Model Flexibility
Commercial, open-source or private models, chosen per task.
Enterprise Connectors
Connect knowledge, applications, APIs and tools you already run.
Dev / Staging / Production
Test, version and promote agents through release stages.
Governance & Optimization
Permissions, audit and release control, with token costs kept down.
Token cost reduction
Context, model choice and budgets, tuned to cut spend.
Questions
Common questions
What is InferAgents?
InferAgents is the visual development and orchestration studio for building, testing and deploying enterprise AI agents, from Inference Analytics. Teams connect models, knowledge, applications and tools to create intelligent workflows, with governance throughout the development lifecycle. 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 →