Skip to content
About e2102 / About

We build a
secure AI
operating system.

The hard part of enterprise AI stopped being model quality some time ago. It is now the layer underneath — identity for agents as well as people, routing across models, memory that survives the session, transport you can trust, and a record of what happened that stands up to scrutiny. Most organisations end up building a worse version of that layer out of glue code, and then owning it forever.

e21 OS is that layer, built deliberately. It is assembled from separate products rather than sold as a monolith, so you adopt one, then another, and the operating system is what you have once enough of them are in place. Each one is useful alone — which is what makes the absence of lock-in something you can test rather than something we assert.

Security is not a layer we added to it. It is the reason the architecture looks the way it does: records that structurally cannot hold your prompts, audit that is never an upsell, and agents that carry the authority of the person they act for. We are early — most of the suite is in Alpha and we hold no certifications yet — and we would rather you read that here than discover it later.

The e21 difference.

01

An operating system, not a migration

Nobody adopts an operating system by moving everything on a Tuesday. Ours is assembled from products that each stand alone: a private desktop assistant, a memory layer, a model gateway, zero-trust transport, agent messaging. Run one and it earns its place on its own terms. Run several and they compose. Remove one and the rest keep working — which is the only version of “no lock-in” worth anything, because you can check it.

02

Claims you can check

Enterprise AI is sold on assurances a buyer cannot verify. We have tried to build the opposite habit: our gateway reports its own latency cost on every response, so you measure our overhead rather than trusting it. Our benchmark protocols are published so a third party can reproduce them, or disprove them. We withdrew our own performance claim once when the measurement contradicted it. A claim you can falsify is worth more than one you have to believe.

Our commitments.

  • 01 / Commitment

    Audit at every tier, never an upsell

    A complete, tamper-evident record of who did what — including which agent acted, and which human authorised it — is available to the smallest account, not gated behind an enterprise plan. The organisations least able to absorb a breach should not be the ones sold the version with no record of it.

  • 02 / Commitment

    Content-blind by construction, not by promise

    The systems that record what happened — telemetry, metering, the audit chain, the usage ledger — are typed so that your prompts cannot enter them, and a test in our build scans every column of every table to keep it that way. "We do not log prompts" is a sentence. This is a property.

  • 03 / Commitment

    We ship the instrument, not just the number

    Every response from our gateway reports the gateway’s own latency cost for that request, so you can measure our overhead on your own traffic rather than trusting our benchmarks. The protocols behind our published figures are written to be reproduced — or falsified — by someone else.

  • 04 / Commitment

    We say what is not built

    We do not claim certification we do not hold, and we name what is still in Alpha or on the roadmap rather than leaving you to assume otherwise. Where each of those stands is kept current on our FAQ and product pages rather than frozen into prose here, because a gap you can see is worth more than a claim you have to check.

Ready to secure
your AI infrastructure?

Apply for the Alpha programme to use the suite before it ships, or talk to our specialists about a tailored secure-AI architecture for your organisation.

Apply for Alpha