A youth on a window seat converses with a brass songbird automaton amid blank teal speech bubbles.

AI transformation

A chatbot that answers from your material.

Support and internal bots with sources, handoff and a way to see when they are wrong.

Book a callSee our work

01 / What we build

Grounded answers

Retrieval over the documents you approve, with citations.

Handoff

A clean pass to a person when the bot should stop.

Channels

Web, and the messaging tools your customers already use.

02 / How an engagement runs

  1. 01Discover

    We write down the users, the risk and the constraint that actually matters.

  2. 02Design

    We architect the system, the threat model and the interface before the build.

  3. 03Build & audit

    We develop, test and put an independent review on anything that holds value.

  4. 04Launch & scale

    We deploy, watch the first weeks and leave a team that can run it.

Stack

  • TypeScript
  • Python
  • RAG

Questions

How is this different from the chatbot guide on the journal?

The journal article is a how-to. This page is the team that builds and runs the bot with you.

Can it take actions, or only answer?

Both, but actions start with a narrow allowlist.

From the journal

Data Science AI Engineering Costs: Startup Budget Guide

Learn what startups actually spend on data science and AI projects—from $30K to $150K—plus hiring models and cost-saving strategies.

Best Companies for Data Science & AI Engineering in 2024

The best companies for data science and AI engineering in 2024 combine cutting-edge technology, top talent, and innovative projects to drive real-world

Data Scientist vs Data Engineer: Everything You Need to Know

Data Scientist vs Data Engineer Roles, Salaries and Skills. Know The Difference Data Scientist vs Data Engineer: Discover roles, salaries, and skills. Find out key differences to create a solid data team and drive data-driven success. Highlights: Data Scientist Vs Data Engineering: Understand the ro

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