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.
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
Access and switch among supported leading AI models from a single enterprise workspace, without vendor lock-in.
Compare model outputs side by side and fuse responses into one synthesized answer, with visibility into contributing models.
Optimize model selection, token consumption and usage controls to reduce Gen AI spending on qualifying workloads.
Pick from supported leading AI models in one workspace.
Your question goes to each model in parallel.
See every model's answer side by side.
One synthesized answer, showing which models contributed.
01Ask several models the same question, then fuse the answers into one.
02Describe the topic, pick a template, get the finished deck.
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Access management, security controls and usage visibility across every model your teams use.
Administrators decide which models are approved, for whom, and within what limits.
Model selection, token optimization and usage controls that lower inference costs.
Inferch is more than chat. Teams reach specialized agents from the same governed workspace, including InferAnalyzer for conversational analytics where integration is supported.
Ask questions of SQL, Tableau, Excel and CSV data in plain language, where integration is supported.
About InferAnalyzer →Turn one prompt into a draft slide deck, ready to refine.
Expert personas that reason with domain context to guide decisions.
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.
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.
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.
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.
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.
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.
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.