InferAgentsHIPAA-compliant AI agent studio

Build enterprise AI agents. Cut token costs by 80%.

The Enterprise AI Agent Development Studio.

InferAgents is a model-agnostic, token-optimized environment for building and deploying intelligent agents across enterprise applications, workflows and data. Design visually, connect supported models and tools, and manage the agent lifecycle through one governed studio.

  • 80%+ token savings on benchmarked workloads
  • 10X faster agent development
  • HIPAA-compliant

An Inference Analytics product

See an agent run

How an agent runs

From Trigger to Governed Output.

Step 1TriggerRunning
Step 2Orchestration
Step 3Models, knowledge and tools

Models

Knowledge

Tools

Step 4Governance
Step 5Enterprise output

Why InferAgents

Enterprise Agentic AI Without Model Lock-In or Uncontrolled Costs.

Agents must do more than search documents: they need trusted knowledge, tool access, workflow logic and operational governance. InferAgents brings these building blocks together to help enterprises build faster, maintain model flexibility, control consumption and deploy responsibly.

Visual development and orchestration

Design Intelligent Agents and Multi-Step Workflows Visually.

Move from AI answers toward governed enterprise actions.

  • Visual workflow design
  • AI reasoning and model execution
  • Tool calling and enterprise actions
  • Knowledge-grounded intelligence
  • Multi-step orchestration
InferAgents dev studioTest Flow running
InputUser question
BoostQuery Normalization
KnowledgeVector DB
KnowledgeKnowledge Graph
DecisionReranker
ModelLLM: GPT-4.1 mini
GuardrailHallucination Shield
OutputGrounded answer with citations
A knowledge-grounded agent flow built in the InferAgents dev studio.

Model independence

Your Agents. Your Models. Your Choice.

Separate agent workflows from the underlying AI model. Connect supported commercial, open-source and private models; evaluate and change models based on task needs, quality, latency and cost. Apply enterprise controls to provider and model access.

Large Language Models

Model node settings

Agent unchanged

Select your LLM

  • GPT-4.1 miniOpenAICommercial
  • GPT-4o miniOpenAICommercial
  • DeepSeek R1DeepSeekOpen-source

Temperature

0.3

Max tokens

2,000

Top P

0.9

Change the model here. The rest of the agent stays the same.

Token optimization

Cut Token Costs. Not AI Capabilities.

Make AI economically sustainable through context efficiency, relevant knowledge retrieval, model choice, usage visibility and budget controls.

See the savings on your workload

Token cost reduction

80%+

Reduce token costs by 80% or more on benchmarked workloads.

Without optimizationBaseline
With InferAgents80%+ lower
Equivalent workloads compared before and after optimization.

Context efficiency

Relevant retrieval

Model choice

Usage visibility

Budget controls

Enterprise knowledge and integrations

Connect AI Agents to Your Enterprise.

Bring together trusted documents, structured data, vector databases and knowledge graphs with enterprise APIs, tools and operational systems. RAG is one component of a broader agentic workflow.

Knowledge grounding

RAG and reranking

APIs and tool execution

Reusable components

Application integration

Governance and production lifecycle

Enterprise AI Built for Regulated Environments.

Support PHI-aware workflows, controlled access, traceability, model governance and managed deployment across development, staging and production.

DevelopmentStagingProduction

Sensitive-data safeguards

Permissions

Auditability

Testing and versioning

Approved models

Enterprise deployment controls

Use cases

From Agent Development to Real Enterprise Impact.

Schedule a Live Demo

Revenue-cycle and denial-appeal workflows

Clinical and administrative knowledge

Enterprise operations

Regulated knowledge work

Proven in academic medicine

InferAgents is in use at one of the largest academic hospitals.

Compare

InferAgents vs. General Cloud Agent Tools

Built for healthcare and regulated enterprises, and not tied to one cloud.

Comparison of InferAgents with general cloud agent tools
CapabilityInferAgentsGeneral cloud agent tools (Copilot Studio, Bedrock AgentCore, Google, OpenAI)
Built forHealthcare and regulated enterprisesGeneral purpose
AI modelsAny supported model, chosen per taskModels within one cloud or provider
Token and cost controlContext, model choice and budget controlsThe cloud's usage pricing
GovernancePermissions, audit trail, versioning, release stagesVaries by cloud

Full, sourced comparison: HIPAA-compliant AI agent platforms, compared

FAQ

Frequently Asked Questions

Quick answers about InferAgents, the AI agent development studio from Inference Analytics.

Still have questions?

Talk to our team about your workflows.

Request a Demo

What is InferAgents?

InferAgents is the Inference Analytics dev studio for AI agents. 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.

Who is InferAgents for?

IT, informatics and engineering teams in healthcare and other regulated enterprises that build AI agents on their own data and systems.

Which AI models does InferAgents support?

OpenAI, Anthropic, Google and internal or self-hosted models, connected at the API level. Teams choose a model per task based on quality, latency and cost, and an agent does not need rebuilding when the underlying model changes.

How does InferAgents reduce AI costs?

By managing context, retrieving only relevant knowledge, choosing the right model for each step, and making usage visible with budget controls. On benchmarked workloads, InferAgents reduces token costs by 80% or more.

Is InferAgents only for RAG?

No. RAG is one capability. InferAgents builds complete agents that combine reasoning, knowledge, tools and multi-step workflows, and governs them from development to production.

Do you need to write code?

Not for the common cases: agents are assembled visually. Connecting new source systems and approving production releases remain engineering work.

How does InferAgents compare with Microsoft Copilot Studio or Amazon Bedrock AgentCore?

Those are general-purpose agent tools tied to one cloud. InferAgents is built for healthcare and regulated enterprises and works across model providers. See the sourced comparison.

Is InferAgents HIPAA-compliant?

Yes. InferAgents runs on the Inference Analytics HIPAA-compliant core, hosted on major cloud providers. Inference Analytics operates as a HIPAA business associate and signs a Business Associate Agreement (BAA) before protected health information enters the product.

Request a demo

See InferAgents on Your Own Workflows.

Tell us which agents you want to build, and we will walk you through the InferAgents dev studio on a workflow like yours.

Prefer email? info@inferenceanalytics.com