RohaTech

KweryConversational AI for Any Database

Ask any database anything.

Kwery lets you ask any database anything, in plain language, by voice or text. It talks to your data, checks the web when it needs to, and remembers the conversation so answers build on each other.

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1:07 · English
Product
Kwery
Sector
Any industry
Built for
Demo
1:07 · English

The process

How Kwery works

Top sellers last week, or the branch with the highest fuel sales yesterday: the answer comes back spoken and written, in seconds.

Step 1 of 5

Ask

In plain language, by voice or text: “top sellers last week”.

What it brings

Built to do the work,
not describe it.

  • 01

    Any database

    Not tied to one industry. It answers from the data your business already runs on.

  • 02

    Plain language

    Ask the way you would ask a colleague, by voice or text.

  • 03

    Checks the web

    When your data alone can't answer, Kwery looks it up.

  • 04

    Remembers the conversation

    Follow-up questions build on the answers before them.

  • 05

    Spoken and written answers

    Hear it or read it. Both come back, in seconds.

  • 06

    On mobile

    Where managers already are.

Built from

4 building blocks,
one chain.

Kwery runs on RohaTech's core AI capabilities, connected in sequence from input to action.

  1. 01Input

    Listen

    Multilingual voice and speech across phone, web and mobile.

  2. 02Input

    Understand

    Intent, documents and enterprise knowledge.

  3. 03Judgement

    Reason

    Models, rules and business context together.

  4. 04Execution

    Communicate

    Voice, web, mobile and outbound.

Listen → Understand → Reason → Communicate

The same building blocks, other workflows

The portfolio

All 9 products, running.

Every demo, in every language it ships in.

See every demo →

The next step

Bring us the challenge.
We'll build what solves it.

We scope one workflow with your team, build it against the systems you already run, prove it on numbers you already trust, then scale what works.

Let's start the conversation →