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An Inference Analytics product
inferch.ai

Every AI model. One secure platform.

The Enterprise AI Harness.

Inferch brings leading AI models into one governed enterprise workspace. Switch between models, compare and fuse responses, access specialized agents, and optimize GenAI spending without committing to a single model provider.

Forenterprise teams, including health systems

inferch.ai/chatINFERCHUser>_CANDIDATE RESPONSESHide>_CLAUDE SONNET 4-6• CAD, s/p LAD stent (2019)• HFrEF, EF 38%, echo 03/24• Paroxysmal AF since 2022• Apixaban, metoprolol, statin• No bleeding events to dateUse this>_GPT 5.268 y/o male with coronaryartery disease, s/p PCI to theLAD in 2019 after NSTEMI.Course complicated by reducedEF (38%) and controlled AF.Use this>_GEMINI 3.1 PRO2019: NSTEMI, LAD stent2022: new-onset AF2024: EF 38% on echoRx: apixaban, metoprolol,atorvastatin 80 mg, lisinoprilUse this✳ FUSION RESPONSE3 models · supervised by GPT68 y/o male with coronary artery disease, s/p LAD stent in 2019following NSTEMI. Course complicated by paroxysmal AF (2022) andHFrEF with ejection fraction 38% on echocardiogram, March 2024.Current: apixaban, metoprolol, atorvastatin 80 mg, lisinopril.No bleeding events on anticoagulation; last lipid panel at goal.3 of 3 models agreed on diagnoses · 1 discrepancy resolved: echo dateGENERATE FUSION RESPONSECOMPARE RESPONSEFusionGPT5.2GPT5.4SONNETGEMINIG-FLASHFUSION (0)Supervisor: GPTSelect models to startFUSION (0)Supervisor: GPTMessage Fusion (3 models)…
Up to 80%
lower Gen AI costs on qualifying workloads
Any
model, with no lock-in
Why Inferch

Model freedom, response fusion, lower costs

One application. Every AI model.

Access and switch among supported leading AI models from a single enterprise workspace, without vendor lock-in.

Multiple models. One smarter answer.

Compare model outputs side by side and fuse responses into one synthesized answer, with visibility into contributing models.

Lower Gen AI costs by up to 80%.

Optimize model selection, token consumption and usage controls to reduce Gen AI spending on qualifying workloads.

How it works

Ask once. Compare perspectives. Fuse the best insights.

  1. Choose your models

    Pick from supported leading AI models in one workspace.

  2. Ask once

    Your question goes to each model in parallel.

  3. Compare perspectives

    See every model's answer side by side.

  4. Fuse the best insights

    One synthesized answer, showing which models contributed.

Where it helps

Everyday jobs it speeds up

Research

A question with no single right source

Before
Asking one model and hoping it's right.
With Inferch
Several models compared, with the best insights fused.
Knowledge work

A spreadsheet before a meeting

Before
An evening building charts by hand.
With Inferch
Charts and a written summary from one upload.
Drafting

A quarterly update deck

Before
Starting from a blank template.
With Inferch
A first draft of the slides, ready to refine.
Inside the product

The workspace your teams use

Built to govern

Governance, approved model access and cost control

Governance

Access management, security controls and usage visibility across every model your teams use.

Approved model access

Administrators decide which models are approved, for whom, and within what limits.

Enterprise cost optimization

Model selection, token optimization and usage controls that lower inference costs.

Integrated AI agents

Specialized agents, inside the same workspace

Inferch is more than chat. Teams reach specialized agents from the same governed workspace, including InferAnalyzer for conversational analytics where integration is supported.

InferAnalyzer

Ask questions of SQL, Tableau, Excel and CSV data in plain language, where integration is supported.

About InferAnalyzer →

Presentation agent

Turn one prompt into a draft slide deck, ready to refine.

Advisor agents

Expert personas that reason with domain context to guide decisions.

Questions

Common questions

What is Inferch?

Inferch is the enterprise AI harness from Inference Analytics. It brings leading AI models into one governed enterprise workspace, where teams switch between models, compare and fuse responses, access specialized agents, and optimize GenAI spending without committing to a single model provider.

How does Inferch lower Gen AI costs?

Through model selection, token optimization and usage controls: routine work goes to the model that fits it, token consumption is kept efficient, and usage stays within set limits. Savings vary by workload, model mix and configuration; up to 80% applies to validated optimized scenarios.

Can I use InferAnalyzer through Inferch?

Yes, where integration is supported. InferAnalyzer, the Inference Analytics agent for conversational analytics on structured data, can be accessed from inside Inferch alongside its other specialized agents.

How does Inferch govern model access?

Administrators choose which models are approved, who can use them and within what limits. Access management, security controls and usage visibility are built into the workspace.

How does multi-model response fusion work?

You ask once. Inferch shows the answers from several models side by side, then fuses the best insights into one synthesized answer, with visibility into which models contributed.

Can I switch between AI models?

Yes. Inferch gives access to supported leading AI models in one enterprise workspace, so teams can choose and switch models without changing tools or losing workflow continuity.

How does Inferch relate to InferAgents and InferAnalyzer?

They are the three core products of the Inference Analytics Platform. InferAgents is where teams build agents, Inferch is the enterprise AI harness where they access and govern AI models, and InferAnalyzer analyzes structured enterprise data. Where integration is supported, InferAnalyzer can be used through Inferch. PayerAgents, the healthcare application for denial appeals, runs on the same HIPAA-compliant foundation.

Every AI model. One secure platform.