About
Jylo started from a simple observation. The firms with the most to gain from machine intelligence, the ones whose product is expertise, were being offered it as a generic chat window with their data as the price of entry. We thought they deserved a platform of their own, from a supplier that behaves like a partner: private, auditable, and never in competition with the firms it serves.
What we believe
We have, in fact, bet the company on them.
The cost of a good answer is collapsing. Within a few years the question for a professional firm won’t be whether to use AI but how much of its own expertise it can put behind it. The winners will be the firms that spend on intelligence the way they once spent on people, and keep the proceeds.
Every firm has the same software. What it doesn’t share is twenty years of judgment about what a good lease, a clean audit or a winning bid looks like. Jylo exists to capture that judgment as playbooks and agents, so it runs on every matter rather than living in a few senior heads.
We don’t train on it, we don’t pool it, and we don’t monetise it. Each organisation runs in its own instance, in the region it chooses, and the contract makes us liable for how its data is used. That is a business model, not a feature, and it is the reason we can look a managing partner in the eye.
Our tools draft, extract, compare and redline. They cite every claim and stop to ask before anything leaves the building. The professional decides. We think that is how it should be, and we think the regulators and the clients will agree.
As software gets cheaper to build, the right size for a software company gets smaller. We are a small team with published prices and no sales theatre, so the money a firm would have spent on a vendor goes on intelligence instead.
Founders
Co-founder & CEO
Twenty years in technology with an engineering background, an FT Intrapreneur and a CogX winner. Shawn spent a decade inside professional firms before Jylo, building the tools their lawyers actually used, which is where the conviction that firms should own their AI comes from.
Co-founder & CTO
Degrees in psychology and law from Exeter and Queen Mary, and an engineer by trade. Sam runs the platform: the architecture that keeps each firm’s data in its own environment, the playbooks engine, and the review steps that keep a person in charge of what the AI produces.
Where we are
We work from two offices and spend a lot of time in our customers’ buildings. Strasbourg puts us next to the institutions and the continent; London next to the firms.
London
Shoreditch
1 Phipp Street
London EC2A 4PS
Strasbourg
Place Gutenberg
10 Place Gutenberg
67000 Strasbourg, France
The whole product runs in your browser on sample data. Or book half an hour with one of us.
