Companies House 17160992 · 16 April 2026

Wot.Technology

What we ship

Three customer-facing AI services on a single content-addressed platform, plus a consulting arm for teams that want help integrating. Take a look:

DASHBOARD

wot.now

Live picture of your business.

Current-state data dashboards and modelling for SMEs. Live picture of your business pulled from the graph, with receipts on every figure.

Spreadsheet-tangle to single-screen in one step. Every number traces back to the source system that wrote it and the moment it landed — so "where did this come from?" always has a literal answer.

For founders and ops leads who've outgrown spreadsheets but can't stomach a six-figure ERP.

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CONVERSATIONAL AI

wot.if

Generative AI with provenance.

Conversational AI with receipts. Generative reasoning over a content-addressed graph, with because-line provenance on every output.

Voice in, conversation through, action out — with signed receipts the whole way. Hallucination becomes the structural absence of a because-line, and that absence is a query you can run, not a guess you have to live with.

For teams using AI for work that has consequences, and for compliance-adjacent businesses facing Article 86.

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SIMULATION

wot.then

Deterministic projection without LLM guesswork.

Deterministic mathematical simulation and what-if scenario projection. Spreadsheet-grade rigour with cryptographic provenance. No generative AI.

Explicit models, solver-driven projections, audit-lines on every digit. When the board asks "how did you get this number?", you walk the because-line; the receipt is the answer.

For finance, operations, regulated industries, and anywhere "the LLM thinks so" is not a good enough answer.

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Under the hood · the platform and the people

Capabilities

What the technology currently does, in plain English. We keep the how for the papers and conversations with partners.

  • Content-addressed signed knowledge Every piece of data arrives signed and content-hashed: identical content always resolves to the same address, and every reference is a verifiable receipt.
  • Because-line provenance Every claim carries a chain of evidence back to the data that produced it. Hallucination becomes the structural absence of a because-line — visible, by construction.
  • Observer-relative trust Trust values are materialised into a time-locked, fractal index the observer slides through at query time, not looked up from a stored table. Trust is always current for the observer's chosen frame.
  • Local-first inference with receipts LLM reasoning constrained by the graph it can read from; every answer traces back to the signed thoughts it drew on.
  • Protocol-native data migration Any relational schema, change-feed, or API surface maps cleanly into the platform's typed ingest path; data lands as signed records ready for downstream use.
  • Structural regulatory fit Because-line receipts satisfy EU AI Act Article 86 (right-to-explanation) and GDPR Article 22 by construction, not as a post-hoc bolt-on.

What we run on

We're an AI-first team and our workloads reflect that. Inference and training run on cloud GPUs and managed AI APIs; storage and replication ride hyperscaler infrastructure.

  • GPU compute Training, fine-tuning and embedding generation on AWS / Azure / GCP GPU fleets, plus NVIDIA-accelerated edge boxes for our deployment evaluations.
  • Managed AI APIs Anthropic Claude and other frontier APIs as a primary inference path; we layer our content-addressed memory underneath so every response is traceable.
  • Cloud storage + replication Object stores, managed databases, and standard cloud primitives for our content-addressed ingest, replication, and retrieval surfaces.
  • Open-source ML stack Hugging Face Hub for model and dataset distribution; PyTorch / Transformers / TRL / Unsloth for the in-house fine-tuning pipeline.

We're early-stage and consume a meaningful chunk of our runway on AI compute. If your startup programme would help us go further, please get in touch — happy to share specifics.

Team

Keif Gwinn — founder and engineer. Two decades of distributed-systems work; previously CTO/architect roles in geospatial AI and 3D reconstruction.

Advisors — Jozef Doboš (founder, 3D Repo; Innovate UK and Horizon Europe awardee), Paul Worrall (data-sovereignty practitioner, Solid ecosystem).

Research notes

We publish technical notes when an idea is ready to share. Get in touch if you'd like a deeper conversation about the architecture or want early access to a private write-up.

Early access

If any of this catches your eye, we'd like to talk. Early access arrangements available for design partners, prospective customers, academic collaborators, and aligned open-source ecosystems.

Want to know more?

Go deeper into any of the five product surfaces: wot.is · wot.was · wot.now · wot.if · wot.then. Or the platform underneath, FlowSpace, or the consulting arm, ThoughtSpace.

WoT Technology Ltd — UK SME, Companies House 17160992.