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Industries

We care about the industries where unreliable is not an option.

Industrial and offshore

Decades of drawings, specifications, and maintenance history, read completely and cited back to the page. Built for operations where a dropped condition changes the answer.

The failure we remove An AI retrieves "this component is rated for that load" while the adjacent "except under condition Y" gets dropped, and the engineer never sees the condition that mattered.

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  • Energy

    Operational records, technical manuals, and subsurface data, where the condition that qualifies an answer is often pages away from the answer itself.

  • Manufacturing

    Specs, procedures, and quality records, reasoned over without losing fidelity.

  • Construction

    Drawings, codes, and archives where traceability to source is non-negotiable.

  • Aerospace

    Certification records, maintenance corpora, and airworthiness data where traceability is a regulatory requirement and a safety imperative.

Regulated knowledge

Large, structured document sets where provenance is the product and "as of when" decides whether an answer is correct. Every claim traced, or it does not go out.

The failure we remove An AI answers from a superseded revision, or invents a citation that reads correctly and does not exist, and the person relying on it has no way to tell from the answer itself.

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  • Legal tech

    Where a fabricated citation is a failure, not a footnote.

  • Medicine

    Clinical and research corpora where provenance decides whether an answer can be trusted.

  • Education

    Curriculum, research archives, and institutional knowledge where a confident wrong answer teaches the wrong lesson.

Interactive systems and agents

Persistent world state that stays structured, provable, and fast enough to answer inside a frame. For machines and characters that have to act on what they know.

The failure we remove An agent contradicts what it established an hour ago, or a robot acts on a stale reading, because its memory is a pile of retrieved passages rather than a structured state it can reason over.

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  • Robotics

    Machines that act on what they know. Grounding is the line between autonomy and guesswork.

  • Gaming & Digital Twins

    Live models that answer inside a frame budget, where a character or a twin has to stay consistent with the world it is modelling.

Don't see your industry?

The list above is where we have done the most thinking, and it is not a boundary. If you are sitting on documentation that decisions depend on, tell us what you have and what your current tools get wrong, and we will give you a straight read on whether grounding helps. That answer is sometimes no, and we would rather say so early.

Tell us about your domain