Medtech and life science
Regulatory and quality teams. Documents too sensitive for public AI, and guidance that keeps being amended. A team of 10 to 30 people fits on one box.
Institutional memory for regulated organisations
Phoenix is a team of AI specialists that works on your own servers. What it learns is kept in your database, shared across the whole organisation, and can be traced and taken back.
Every day your teams teach AI how the organisation works: what was decided, which rules apply, what went wrong last time. With a cloud assistant, that knowledge builds up at the vendor.
With Phoenix it builds up in your own database, as ordinary Postgres tables. Replace the model and nothing is lost. Replace the vendor and you still have it.
How the memory grows
Phoenix learns from what you give it and from the work your teams do with it. It turns that into lasting knowledge slowly and on purpose, and it keeps the source attached at every step.
SOPs, technical files, runbooks, PDFs and spreadsheets. Each one is registered as a source, with its version, before anything is learned from it.
EU regulation and guidance, ingested with their version. When a text is replaced, the old version is marked as superseded.
Questions, answers, plans and decisions from your teams' work with the specialists. Each decision is recorded with the sources it rests on.
Everything that comes in is read as information, never as instructions. A document can inform an answer. It cannot change the rules.
A new specialist starts on day one with everything your organisation has signed off. And because every layer keeps its sources, a recall reaches all of it.
The organisation canon
The shared memory belongs to your organisation, not to one assistant. Every Phoenix specialist reads it from the first question, at every site, with nothing to set up.
Decisions, policies, the glossary, roles and the project register reach every specialist automatically. Nobody opts in, and nobody is left out.
Each specialist's own working notes stay walled off by the database itself. Only signed-off knowledge is shared.
Teams in different locations load the same memory. Each version is signed at the source, and every link between sites is mutually authenticated.
A site that loses its connection keeps using its local copy and catches up when the link returns.
Digital sovereignty
Where the AI runs is half the question. The other half is where the knowledge it builds about you ends up. With Phoenix, it ends up with you.
Phoenix runs on your servers, or on a box we supply and you keep.
The memory is plain Postgres tables. Inspect them, back them up, take them with you.
Use any model, including open-weight models on your own hardware. Change it later and the memory stays.
Priced per team per year. No token meter and no seat count.
If you choose a hosted model, it sees the passages used for each answer. Choose a local model and those stay inside too. The memory itself never leaves your database.
Trace and recall
In Phoenix, every stored conclusion carries its sources. When one turns out to be wrong, you take it back in one step.
Every stored conclusion carries its sources, so you can see where any answer came from.
Revoke a source and everything derived from it is quarantined in one operation: memories, lessons, skills, decisions and canon entries. The audit trail stays intact.
Actions without live evidence are refused. Claims it could not verify are disclosed in the answer.
Try itExample: classification guidance that was later amended
Nothing revoked. Five items and one pending action rest on this source.
Use them for mail, meetings and documents. Keep the knowledge you must own, and answer for, in Phoenix.
Where does what the agent learns about us live, and can we take it with us?
A source it learned from is wrong. Show us everything derived from it, decisions included, and quarantine it in one step.
Can it run on our hosts, on a model we choose?
Ask us the same three. We answer them on your own data.
Regulatory and quality teams. Documents too sensitive for public AI, and guidance that keeps being amended. A team of 10 to 30 people fits on one box.
Data and BI teams working with regional health data, where the data must stay inside the region's own walls.
Firms and authorities that need a clear wall between matters and a way to take back what a wrong source taught. Talk to us about a design partnership.
Getting started
A paid, fixed-scope pilot on your own data. It passes when the recall drill passes.
One team of specialists on your hardware, or on a box we supply. Your documents plus public EU regulation.
Real work on real questions. The shared memory builds up in your database as you go.
Plant a wrong source, trace it, revoke it, show the quarantine, show a dependent action refused.
An annual subscription per team. Add teams and sites when you are ready. The pilot fee counts towards year one.