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ForgeSynapse

London, UK

Regulatory-first since day one

Forgingverifiable AI

We build AI systems that can prove, cryptographically, what happened during every computation. Sovereignty, verifiability and radical integrity — engineered, not claimed.

Index
Forged steel cooling along a geometric lattice.

Index

What we build, and how far along it is

Two products are public and downloadable today. The rest are in development. We list both, because a company that sells auditability should be auditable itself.

2 published10 in development2 divisions

  1. 01

    ForgeSynapse

    The foundational layer: cryptographic audit, sovereign governance and zero-trust infrastructure.

    10 2 published
  2. 02

    Thryvex Labs

    Computational biology and operational medicine. Simulation where physical experiments are too slow, too costly or ethically constrained.

    2 0 published
    • TissueForgeTRL 3 → 6In development
    • CasualtyLogicTRL 3 → 5In development

Available now

Proof you can download

Two of our systems are public today. They are the evidence behind everything else on this page.

v0.1.0 · public

VaultTrace

A cryptographic notary for AI compute. It produces signed, persistent evidence of which model ran, on what data and under which policies — verifiable by a third party long after the session ended. Built against EU AI Act Annex IV.

Apache-2.0 · public

ClawLite

A personal AI assistant that runs entirely on your own machine, driven from Telegram. Open source under Apache 2.0: no subscription, no telemetry, no cloud lock-in, and a one-click installer so it is not only for engineers.

Where it matters

Built for environments that cannot afford to be wrong

  1. 01

    Defence

    Decision support that stays auditable in disconnected and degraded conditions.

  2. 02

    Health

    Computational simulation for trauma research and mass casualty planning, without clinical risk.

  3. 03

    Legal and financial

    Evidence that survives an audit, a regulator and a due diligence process.

  4. 04

    High-risk AI

    Annex III and IV obligations under the EU AI Act, met with verifiable records rather than promises.

Newsroom

What we are building, and why

  1. Thryvex Labs

    TissueForge: a million pounds of laboratory, or seventy-two hours of compute

    Complex wound research is one of the slowest and most expensive corners of biomedical science. The arithmetic behind that sentence is worse than most people assume.

    TissueForge

  2. Thryvex Labs

    CasualtyLogic: a hospital rehearses a major incident twenty times a year

    In a mass casualty event, the decisions made in the first hours determine most of the preventable deaths. The tools for rehearsing those decisions run at human speed, one scenario at a time.

    CasualtyLogic

  3. ForgeSynapse

    PhishNet: sharing threat intelligence with people you have no reason to trust

    Two organisations both being attacked by the same campaign have every reason to warn each other, and no shared infrastructure to do it through. That gap is where most of the damage happens.

    PhishNet

  4. ForgeSynapse

    TrustVerify: detecting fakes is the wrong goal

    Deepfake fraud took around €860 million in Europe last year, and attacks have risen more than twenty-fold since 2022. Chasing the fakes is a losing race. Certifying what is real is a different problem.

    TrustVerify

  5. ForgeSynapse

    HiveWire: we are not claiming an AI can make money. We are trying to find out

    This is a research programme, not a product, and its own documentation forbids us from selling it until one specific thing is demonstrated. Here is what that thing is.

    HiveWire

  6. ForgeSynapse

    InboxZeroAI: the one thing you cannot paste into someone else’s cloud

    Your inbox is the most sensitive archive you own and the one most people hand over without thinking. InboxZeroAI is an attempt to sort it out without it ever leaving your machine.

    InboxZeroAI

  7. ForgeSynapse

    OctoSync: one agent is a bottleneck, many agents are a security problem

    Running work in parallel is the easy part. Doing it without handing a language model the keys to the host machine is the part most systems skip.

    OctoSync

  8. ForgeSynapse

    MirrorBreak: what happens when your AI stops disagreeing with you

    A model that tells you what you want to hear is not being helpful. It is being useless in a way that feels like help — and the failure gets worse the longer the conversation goes on.

    MirrorBreak

  9. ForgeSynapse

    ColdStart: the hardest moment with an AI is the first one

    Most people leave the majority of a model’s capability unused. Not because the model cannot do it, but because they do not know how to ask. That gap is what ColdStart is being built to close.

    ColdStart

  10. ForgeSynapse

    V.I.C.T.O.R.: a system that acts, not one that advises

    Most assistants answer the question and leave the work with you. V.I.C.T.O.R. is being built to close that gap — and to keep working when the connection does not.

    V.I.C.T.O.R.

  11. ForgeSynapse

    Verifiable AI proof: the requirement that arrived before most companies were ready

    European rules on artificial intelligence are in force. The organisations that lead will not be the ones using the most AI, but the ones able to prove they used it responsibly.

    VaultTrace

Contact

Tell us what you need to prove

We do not sell generic products. Every engagement starts with one specific problem, in an environment where trust has to be demonstrable rather than asserted.

contact@forgesynapse.comWrite to us