A summary of a long chart
- Before
- Reading years of notes before rounds.
- With Inferch
- A cross-checked draft summary, for the clinician to review.
An Inference Analytics product
inferch.ai
Ask several AI models at once. Get one checked answer.
Inferch sends each question to leading models in parallel and returns one answer, with any disagreement flagged.
Forclinicians, operations teams and leaders
- 75%+
- lower Gen AI costs
- Any
- model, with no lock-in
How it works
One question, one checked answer
Ask
Type a question or attach a file.
Several models answer
GPT, Claude and Gemini, in parallel.
A supervisor checks
It compares the answers point by point.
You get one answer
With any disagreement flagged.
Where it helps
Everyday jobs it speeds up
A spreadsheet before a meeting
- Before
- An evening building charts by hand.
- With Inferch
- Charts and a written summary from one upload.
A quarterly update deck
- Before
- Starting from a blank template.
- With Inferch
- A first draft of the slides, ready to refine.
Representative examples, not customer case studies.
Inside the product
The workspace your staff use
01Multi-Model Chat
Ask several models the same question, then fuse the answers into one.
02Presentation Agent
Describe the topic, pick a template, get the finished deck.
Scroll to explore
What’s included
More than a chat window
Multi-model answers
GPT, Claude and Gemini, asked at once.
Checked consensus
Agreement scored, disagreement flagged.
Cost-aware routing
The cheapest path that still hits the target.
Analytics agent
Spreadsheets into charts and summaries.
Presentation agent
One prompt into a draft deck.
Clinicians decide
No clinical decisions, no writes to the record.
Questions
Common questions
What is Inferch?
Inferch is the Inference Analytics multi-model AI workspace that clinical and operational staff use. It sends each question to several leading models at once, and a supervisor model checks them against each other before returning one answer.
How does the multi-model fusion work?
Your prompt goes to several models in parallel. A supervisor compares their answers as they arrive, cross-checks the facts, scores how far they agree, and returns one result.
Why ask several models instead of one?
Any single model can be confidently wrong, and the best model changes by task. Where models disagree is a signal; Inferch shows it rather than hiding it.
What else can Inferch do?
It includes an analytics agent that turns data into charts, a presentation agent that drafts decks, advisor agents with domain context, and memory across sessions.
How does Inferch relate to InferAgents and PayerAgents?
They are the three Inference Analytics products. Inferch is the workspace staff use, InferAgents is where teams build agents, and PayerAgents handles denials and appeals. All three run on the same HIPAA-compliant core.