Callisto · AI Assistant

01What it is

An assistant that works from your company’s knowledge

Callisto builds a knowledge base from your own documentation, and an AI assistant on top of it that anyone can ask in natural language — customers, colleagues or prospects. The same assistant can be a help desk, a salesperson, product support or an internal knowledge desk: the knowledge base and the role adapt to your needs. Answers come from your official material — not the model’s general “memory”.

02How it starts

Live in days, no training required

No long training or data labelling. Rollout starts from your existing material, and can be demonstrated on your own documentation.

  1. 01

    Bring your documentation

    From your existing product docs and material, the system builds a searchable knowledge base.

  2. 02

    Users ask questions

    In natural language, even attaching a screenshot — the answer comes from the official documentation, with the source attached.

  3. 03

    It learns from use

    Feedback and unanswered questions reveal where the knowledge base is thin — and where it’s worth expanding.

03What it does

Not a generic chatbot — it knows your system

Callisto is grounded in your own documentation, and built to give reliable, verifiable answers — without guessing.

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Source-grounded answers

Every answer is built from retrieved documentation, with the source attached — so you can verify where it came from. If uncertain, the system says so instead of inventing.

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It understands what you mean

Hybrid search considers both keyword and meaning, so it finds the answer even when you don’t use the exact words from the docs. It handles typos and synonyms too.

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Screenshots and images

Answers appear with the relevant screenshots and diagrams. Users can attach an image — optional text recognition helps the answer.

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Tuned to your needs

Per-user answer detail (Concise / Normal / Detailed), in-conversation memory for follow-ups, and feedback collection for continuous improvement.

04For admins

Visibility and control behind the scenes

01

KPI dashboard

Conversation count, average success score, positive feedback rate, average response time — at a glance.

02

Knowledge-gap detection

From unanswered questions and feedback, it identifies where the knowledge base is thin, so you can expand it where it matters.

03

AI proposes, humans decide

When documentation changes, the AI does the preparatory work and every change is approved by an administrator — in a word-level diff view.

Reliable, in your environment

  • +Answers come from your own documentation, with the source attached — if uncertain, the system says so.
  • +Isolated per-customer deployment in your Azure environment — your data is never mixed with anyone else’s.
  • +By default the model doesn’t learn from your data; content serves retrieval and answering only.

The roles it plays

Customer support and help desk
Sales and pre-sales assistant
Product support and onboarding
Internal knowledge desk for your teams

See it on your own material

A short demo of roughly 20 minutes can be built from your own documentation. Let’s talk.

Request a demo