Our story
Built by rejecting how AI is usually delivered.
Agentycs came out of more than a dozen AI software projects, across a wide range of sectors and technologies, and the conclusion all of them pointed at: almost everything about the way AI reaches an organisation is arranged for the supplier's benefit rather than the customer's.
How it started #
Before Agentycs, Henry Smith had worked on more than a dozen AI software projects, across a wide range of sectors and all sorts of technologies, from early natural language work through to large enterprise deployments. The pattern held everywhere. The intelligence was almost never what decided the outcome. What decided it was whether the organisation could operate the system, account for what it did and put it where the work actually happened — and whether, at the end of all the spending, the organisation owned anything at all.
Mark Perkins had been running digital transformation programmes across cloud, cybersecurity and automation, and had arrived at the same conclusion from the other side. Organisations did not need another specialist tool for a specialist team. They needed AI they could deploy, control and put in the hands of the people doing the work, on infrastructure that stayed theirs afterwards.
Their paths crossed in 2023, and Agentycs Limited was incorporated on 7 November 2024, in Britain. The decision was to discard the conventions wholesale rather than improve on them: one system holding the data, the inference, the storage, the compute and the delivery capacity together, and capable of developing itself.
Capable AI an organisation could not operate, could not account for, and did not own at the end.
Every architectural decision in the platform is an answer to one of those.
- CTO
- Henry Smith. Large-scale data and AI deployments, from early NLP to enterprise systems.
- CEO
- Mark Perkins. Digital transformation across cloud, cybersecurity, and automation.
The norms we broke #
Four things this industry does by default, and what Agentycs does instead.
You own it, or it is not sovereign.
The norm is that AI arrives as a metered service on infrastructure somebody else owns, and sovereignty means a promise about which region the data sits in. Ours means the whole platform runs inside your estate, on hardware you can buy, under your identity, and keeps serving when the link to us is cut.
One platform, not seven products to integrate.
The norm is a warehouse, a vector database, a model API, an orchestration layer and a governance tool bolted across the top, with every seam left as the customer's problem. Here the data, the inference, the storage, the compute, the applications and the delivery share one identity model and one permission decision.
The system develops itself.
The norm is that delivery scales with headcount and day rates, which gives the supplier every reason to need more of both. The software factory writes, tests and verifies the platform it runs on, which is why a company this size can hold a stack this deep, and why we can afford to transfer capability rather than rent it back.
Show the working, do not assert the outcome.
The norm is a trust page and an assurance deck. Here every access, every action and every model decision lands in a record you can query and attribute afterwards, and every build carries signed provenance that is checked before anything loads. If we cannot show it, we do not claim it.
What the factory changes #
Work that would take a team a year, the factory delivers in a week.
That is our founder's claim, made from building this platform that way, and it is the most consequential thing about the company. It is a claim rather than a benchmark: there has been no controlled comparison against a team doing the same work by hand. What we can do is show you the machinery and let you form your own view.
It changes what is worth asking for. Software that was never commissioned because a year of a team's time could not be justified against the benefit becomes a reasonable thing to request. That is also the practical argument for owning your platform rather than renting it: the economics that made ownership the expensive option no longer hold.
How the factory worksWhat still takes human time #
Deciding what to build. Agents compress execution; they do not compress judgement. Working out what should exist, specifying it precisely enough that a capable agent cannot misread it, and deciding whether what came back is actually right takes a person as long as it ever did, and it is now the constraint that governs how fast anything moves. A week of build capacity is worth nothing behind a month of indecision.
Follow the thread
What the company is for, how the software gets built, and how the platform is controlled.
Company
What Agentycs builds, where it operates, and what stage the company is honestly at.
Company overviewMission and principles
Why the company exists, the dependence it is built to end, and the four commitments that follow.
Read the missionTeam
The two founders, and how a workforce of agents writes, reviews and verifies the platform.
How the work gets doneTrust and security
How the platform enforces access, isolates tenants, verifies what it runs and stays sovereign.
See the controlsWhere this goes next
Nothing about the reason the company exists has changed. Capable technology still arrives on terms that leave the organisation owning nothing, and it still costs more to leave than to stay. The platform has simply grown to answer more of it. What the company is for is set out in the mission; how the software gets made is set out under team.