Our Work
Atchai is a strategic technology partner for VC-backed startups, government and enterprise.

We built AI tools to make sense of terabytes of unstructured government documents dating back to the 1980s.
Using knowledge graphs and custom algorithms, we turned vast archives into clear insights that help shape better policies.
By managing diverse stakeholders and handling complex data formats, we delivered a solution that works at scale and drives real results.

It takes an average of 15 weeks from initial symptoms to diagnosis of cows milk allergy.
We delivered a conversational AI that acts as a companion for parents throughout this journey, helping them to track symptoms and produce a comprehensive report to take to the GP, significantly reducing the average diagnosis time.
Our team focused on optimizing performance for fast responses, integrating the solution with Danone’s tech stack, and ensuring compliance with strict healthcare data privacy regulations.
Over 90% of users would recommend our product to a friend.
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We built CompleteFlow from everything we learned delivering AI for the Cabinet Office, Danone, FCDO, and dozens of other organisations.
CompleteFlow is an agentic AI platform for regulated industries. It processes documents, runs workflows, and answers questions across your organisation. Agents deploy on your infrastructure with full audit trails, human-in-the-loop controls, and policy-as-code governance.
The platform connects to 10,000+ systems via the Model Context Protocol, with production agents deployed in as little as 6 weeks.
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What is the impact of COVID-19 on global instability? We have developed data insights tooling and strategy to address this question as well as many others for analysts across multiple government departments.
We successfully delivered operational dashboards that demonstrate the ability to extract actionable insights from unstructured text data, along with a long term strategy for building capacity.
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We developed Economy.os - a platform for simulating complex systems using multi-agent systems and reinforcement learning.
This novel approach was applied to modeling tokenomics for blockchain based economies.
Solved for multiple equilibria and coordination problems traditional methods miss, without requiring training data.
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Bit Bio raised over $100M to develop cell coding technology that enables a new generation of cell therapies.
We are helping them to build a data driven ecosystem with radical transparancy that empowers employees to make better decisions and creates a flywheel for growth through compound improvement.
Our work includes organisation-wide data strategy and implementation of core AI infrastructure.