Build AI-native systems in seconds.
Knowledge, compute, inference, and orchestration — four primitives, one stack. Auto-wired on one London-hosted cloud, under one auth and one bill.
The full stack for AI-native agents.
Six fragmented services collapse into four planes — under one auth, one bill, wired on day one.
Three systems.Endless glue.None agree.
To give an app knowledge, you stitch an object store, a warehouse and a vector DB — write the ingestion, embedding and sync jobs between them — and they still fall out of sync.
Store and transform structured & unstructured data — every shape from one write, always in sync.
Drop in any file — PDFs, images, audio, spreadsheets — and K3 derives queryable SQL tables and a hybrid vector index automatically via Scriptum’s predefined AI workflows. One sovereign store, no ingestion pipelines, no separate vector DB, no drift.
The runtime built for AI agents.
An agent writes code on a client’s behalf and submits it — Ignite runs it massively parallel, scales to zero, and hands back a live URL in milliseconds, billed by the millisecond. Your own image, a Dockerfile or GitHub deploy the same way.
Instead of a slow tool-by-tool loop, the agent writes one short program that calls many tools, runs it once in an Ignite sandbox, and returns a single result. That needs an instant, internet-reachable runtime — every agent needs a computer.
Don’t marry a model — swap any of them, keep your code.
No single model wins, and the cheapest capable one changes monthly — so put one OpenAI-compatible API in front of all of them: frontier, open, or specialized self-hosted.
Workflows that read like a recipe — and survive production.
Six verbs compile a typed pipeline to a DAG — pause it, resume it, stream large files through it, and call Ignite functions or inline Python.
Hosted in London, built for EMEA.
UK-native data residency, owned from the metal up — already in production, and the most secure datacenter class in London.
From the metal to the agent — a moat that compounds.
Any single plane is copyable. The defensibility is three layers that reinforce each other — and that incumbents and point tools structurally can’t match.
One bill. Fair pricing — and structurally cheaper than the hyperscalers.
Usage-based across all four planes, metered to the millisecond and the gigabyte — billed once, on one invoice. Every account starts free with hard caps, so there are never surprise bills.
The traction so far — and the right engineers are already in.
Real signups and paying usage already — plus conviction from people who run quantitative, AI and crypto infrastructure for a living.
The document management product is great — this will be the killer product.
For AI-first teams recording everything, K3 as the team wiki — chats, docs and calls in one place — is really important.
Built by people who run the whole stack — silicon to software.
Hardware and datacenter, DevOps out of Tencent and Canonical, and the engineers shipping the platform — the full range it takes to stand up a sovereign cloud in-house.
Raising a $2.5M convertible round to scale across EMEA.
Thank you.
The sovereign AI cloud — knowledge, compute, inference and orchestration, on one stack.