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App Development Company

Datum Brain

Data engineering and AI firm that audits, designs and builds data platforms and AI products

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About Datum Brain

A data and AI partner for decision makers

Datum Brain describes itself as a data and AI partner for decision makers who need to audit, design and build systems where the data really matters, from pipelines to LLM-based and agentic AI products. Among the teams it lists as clients are several named companies, and it says more than thirty others have also worked with it.

Starting with an audit or going straight to delivery

Engagements can begin in one of two ways. The Data and AI Readiness Audit reviews the system and data foundations, assesses AI feasibility and risk, and produces a prioritised roadmap of what to fix, build or avoid. Many audits move straight into the fix. Where a client already knows what needs fixing or building, the firm starts with delivery, whether that means rescuing pipelines, reducing costs or building a platform from scratch.

A small senior team on each job

Delivery is carried out by a team of two to five senior people, shaped around what the work calls for. Ongoing involvement can take the form of architecture work, coaching for internal teams and continued roadmap execution for as long as the client needs it. The firm presents itself as a partner whose goal is a system that actually runs in practice.

Services and connected systems

The services cover agentic AI, LLM integration, vision AI, voice AI and data engineering. For data work the company describes connecting sources of many kinds, from payment and commerce platforms and customer support tools to analytics feeds and databases such as Postgres and MongoDB, so that information held in separate systems can be analysed together.

Case examples from its own accounts

The firm describes a document project in which weeks of manual review were replaced by an automatically extracted, queryable knowledge graph. In another, custom integration work that had taken about three months for each client was brought down to two weeks. These are the company's own accounts of its results, and they are presented as examples of the kind of work it does.

Products the firm releases itself

Alongside client work, Datum Brain releases products it has built for its own use, most of them open source and free for anyone to use. Those named on its site include a privacy guard for coding assistants, which scans every prompt for keys, secrets and personal data before it is sent and does its scanning locally, plus two further tools, reachl.ink and TabularJSON.

TrustList summary

Datum Brain works with decision makers on data systems and AI products, from pipelines and platforms to LLM-based and agent-style applications. Engagements usually begin with an audit or go straight into delivery, carried out by a small team of senior engineers.

What Datum Brain offers

  • Data and AI readiness audit: a review of systems and data, an AI feasibility and risk check, and a prioritised roadmap.
  • Data engineering: rescuing failing pipelines, cutting costs or building new data platforms.
  • AI products: agentic AI, LLM integration, vision AI and voice AI.
  • Ongoing ownership: continued architecture work, coaching and roadmap delivery.
  • Custom software: engineering with a background in Scala and Go.

Who it serves

The firm names PSI, Examity, NMS360, Zolvat and Polymer DLP among more than 30 client teams. Its data work connects sources such as Postgres, Salesforce, Snowflake, HubSpot, Shopify and Kafka.

Key facts

  • Team per engagement: two to five senior specialists
  • Approach: diagnose, architect, build, optimise

Summary written by TrustList from the business's own published information, Nov 2026.

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