Healthcare AI infrastructure
Inference Analytics provides the secure AI infrastructure healthcare organizations need to deploy intelligent agents, automate workflows, and connect enterprise data to the world’s leading AI models.
Secure AI. Healthcare-native. Built for real-world deployment.
Platform-wide across all deployments, as of September 2026. Years of R&D covers the founding team’s combined AI research and deployment work, before the June 2025 production launch.
The Inference Platform
From building secure agents to operationalizing payer workflows, our platform brings governed AI into the work that matters.
Reduce development time to build agents by 10×
A model-agnostic, token-optimized dev studio for building, orchestrating and deploying AI agents in healthcare and regulated enterprises.
Reduce Gen AI costs by over 75% and avoid model lock-in
An end-user, multi-model platform that brings leading generative AI models into one governed experience.
Increase payer appeal volume by 20× and improve appeal turnover by at least 50%
Healthcare AI agents that automate payer workflows, denial appeals, and CPT policy lookups.
AI agent dev studio
Visually build, orchestrate and deploy enterprise AI agents that connect data, applications and AI models. InferAgents brings together flexible development, enterprise governance and intelligent optimization to help lower AI operating costs.
Place the steps, wire them up, pick a model, ship the endpoint.
02Drag the flow together: ingestion, redaction, chunking, retrieval.
03Choose the embedding model and build the vector store behind it.
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Unified AI experience
Give teams a consistent, governed interface for generative AI while preserving the freedom to choose the right model, agent, and enterprise data source for each task.
Ask three models at once, then reconcile them into one answer.
02Ask several models the same question, then fuse the answers into one.
03Describe the topic, pick a template, get the finished deck.
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Intelligent revenue cycle
Purpose-built payer agents understand policy language, CPT requirements, and appeal context, helping revenue-cycle teams move faster while keeping every decision reviewable.
01Every chat scoped to one payer's own policy library.
02CPT checks, appeal letters and eligibility, in one place.
03Answers carrying the payer's own requirements, cited to source.
04Pick the payers, paste the context, get a cited appeal letter.
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About us
We work inside the constraints healthcare actually has: protected data, audited workflows and clinical accountability. The platform is engineered so enterprise teams can adopt AI without trading away security or governance. It deploys inside your own cloud, and models are reached only at the API level under a business associate agreement.
8+
Years of R&D before we productized anything
4x
User growth since the June 2025 launch
Inference Analytics is a Chicago-based healthcare AI company. It makes three products: InferAgents (InferAgents.ai) for building AI agents, Inferch (Inferch.ai), a multi-model AI workspace, and PayerAgents (PayerAgents.ai) for denials and appeals. Its products are live inside University of Chicago Medicine and Mayo Clinic.
Three: InferAgents (InferAgents.ai), a dev studio where teams build, orchestrate and deploy AI agents across any model; Inferch (Inferch.ai), a workspace that asks several leading AI models at once and returns one checked answer; and PayerAgents (PayerAgents.ai), which turns denied claims into cited appeal letters. All three run on one HIPAA-compliant core deployed in the customer's own cloud.
Yes. InferAgents is the Inference Analytics dev studio for building AI agents, at InferAgents.ai. Its visual builder is called InferAgents Studio.
Neither. PayerAgents is a product of Inference Analytics, with its own site at payeragents.ai. It serves billing teams and private practices, and runs on the same HIPAA-compliant core as InferAgents and Inferch.
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 governance built in, for healthcare and other regulated enterprises.
Yes. InferAgents, Inferch and PayerAgents, and every agent built in InferAgents, share one HIPAA-compliant core: PHI stays inside the compliance boundary, models are connected only at the API level under a business associate agreement, and all activity is written to an auditable log. See the security and compliance page for the full position.
Inference Analytics products deploy inside the health system's own cloud. Protected health information and institutional knowledge stay within the organisation's own boundary rather than being transferred to a vendor tenant. Model providers are reached only at the API level under a business associate agreement, and the prompts, retrieved context and outputs are logged inside that same boundary.
The team was generating healthcare text before ChatGPT existed. Its peer-reviewed work on generating radiology report impressions went to IEEE Xplore early access in June 2021, around eighteen months before ChatGPT's public launch, and appeared in IEEE Transactions on Artificial Intelligence in August 2023. The founding team's combined AI research and deployment work spans more than eight years.
They are model-agnostic. They work across OpenAI, Anthropic and Google models as well as a health system's own internal or self-hosted models, connected only at the API level. An agent is built once, so the underlying model can change without rebuilding it.
Inference Analytics products are live inside University of Chicago Medicine, where they serve both end-user applications and the health system's own IT agent development, and inside Mayo Clinic. Akron Children's and CHOP are following the same path.
Bring trusted AI into healthcare operations. Talk with our team about deployment, governance and the workflows you want to automate first.