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Chris AbbottCA

Chris Abbott

AI Infrastructure Architect | RAG & Classification

£1,000/day
London, GB
15+ years

Average response time: 1 hour

About Chris

I am the founder of TNT Research Ltd and the creator of TNT (Temporal Native Technology) and the Dewey temporal classification & rules substrate.

With over 25 years of experience as a technical architect and engineer, I have built and run high-concurrency systems, device detection platforms, AI-powered SaaS products, and complex compliance tooling for clients including American Express.

I am currently focused on temporal computing architectures that make provenance, reproducibility, and point-in-time reasoning first-class properties of the system.

All work is self-funded and bootstrapped.

I am currently selective about taking on a small number of paid pilot engagements where evolving regulation, auditability, and temporal accuracy create real friction.

You can reach me at .
  • English

    Native or bilingual

Can work on-site
London (up to 10km)

Experience

  • TNT Research
    Founder and Architect
    January 2025 - Today (1 year and 7 months)
    London, United Kingdom
    TNT stands for "Temporal Native Technology." I build custom RAG infrastructure that solves problems most implementations quietly ignore.
    Standard RAG retrieves from whatever you fed it and knows nothing about the world outside that corpus — except by accident. When it works, it looks impressive. When it fails, it fails silently: wrong context, stale information, confident nonsense. Most teams discover this the hard way, usually after they've built their pipeline around an approach that can't be fixed without rearchitecting.

    I've spent 14 years in classification infrastructure (DetectRight — device detection for enterprises) and the last two years building TNT: a temporal computing kernel that treats time, context, and causality as structural primitives rather than afterthoughts. The first product from that work is Dewey, a hierarchical classification engine backed by 46+ curated taxonomies and 13,000+ cross-domain references. It gives your ingestion pipeline something no vector database or graph RAG setup provides: awareness of how your documents relate to the broader domain, not just to each other.

    What this means in practice: more accurate classification at ingestion, dramatically less hallucination downstream, and retrieval that understands temporal context — when something was true, not just that it appeared in a document.

    I work best with teams that have already built a RAG pipeline and found the ceiling — the point where adding more documents or tweaking prompts stops improving results. That's usually a structural problem, not a tuning problem, and it's what I solve.

    Python, TOML-based configuration, designed to integrate with existing stacks rather than replace them.
    Ingestion Pipelines LLM Python Contextual RAG Taxonomy Creation
  • High Technology Publishing
    Director
    PUBLISHING
    June 1997 - Today (29 years and 1 month)
    Bromley, United Kingdom
    Although this company was created to hold music copyrights for old Commodore 64 game themes (as well as to release remix CDs based on them, and to hold live events), it is also a catch-all corporate vehicle for IT Contracting and other non-Device-detection-related activities.
  • 8-bit Symphony
    Founder
    July 2019 - Today (7 years and 1 month)
    Bromley, UK
    8-Bit Symphony is a venture with the goal of encouraging live performance of 8-bit music, with a special emphasis on the orchestral tracks featured in the first concert, and preserving 8-Bit music through protecting the publishing rights of 8-bit musicians for future generations.

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Education

  • BSc Hons, Psychology and Statistics
    University of Surrey
    1992
    BSc Hons, Psychology and Statistics

Skill set (13)

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