Company
We build the part of enterprise AI that everybody skips.
Solfara exists because the interesting work in enterprise AI is not the model. It is reaching the systems that hold the evidence, reconciling what they disagree about, and producing answers somebody is willing to put their name to.
Where this came from
Solfara grew out of enterprise architecture practice rather than out of a machine learning lab. The founding work was a resilience risk platform inside a large healthcare organisation: an environment with hundreds of applications, several hundred non-functional requirements, and four systems of record that had never been asked the same question.
Building it surfaced a pattern that turned out to be general. Almost every question the organisation could not answer was blocked at the same two points: the evidence was unreachable, or the answer was untraceable. Once those were fixed, the AI component was comparatively straightforward — and once they were fixed for one question, the next five became inexpensive.
That is the thesis the company is built on, and the reason our engagements start with integration and evidence rather than with a model selection exercise.
What we believe
Four positions that shape the work
- 01
Enterprises do not have an AI problem
They have an evidence problem that AI makes newly solvable. The organisations that will benefit most are not the ones with the best models — they are the ones that finally reconcile the systems of record they have been running for twenty years.
- 02
Trust is an engineering property
Whether people act on an AI system’s output is decided by design choices: whether claims carry citations, whether uncertainty is reported honestly, whether the arithmetic can be reproduced by hand. It is not decided by how good the model is.
- 03
The hard part is never the model
It is the platform whose API is disabled by policy, the two inventories that disagree about what a host is, and the document nobody has opened since it was filed. That work is unglamorous, it is where the value is, and most vendors would rather not do it.
- 04
Regulated environments are the interesting ones
Constraints — data residency, auditability, approval gates — force better architecture. A system that can satisfy a healthcare governance review is a system that works everywhere else too.
How we work with clients
Small, senior and deliberately unleveraged. You work with the people building the system, not with an engagement manager relaying to a delivery team you never meet.
You own everything from the first commit — source, infrastructure definitions, documentation, and the models of your own domain. There is no runtime dependency on us and no licence that becomes leverage at renewal. We choose boring, well-documented technology on purpose, so your engineers can maintain what we build without having been in the room when it was written.
And when the right answer is a product you should buy, or work your own team should do, we say so. An advisory relationship that cannot produce that sentence is not advice.
Get in touch
Talk to the people who would build it.
The most useful first conversation is a specific one. Bring the question your current tooling cannot answer, or the decision your organisation keeps making without good evidence.
Start with your hardest question.
Tell us the decision your organisation keeps making without good evidence. That is usually the right place to begin.