An honest comparison
The closest comparison on this list, and the hardest one.
These firms do genuinely similar work to a genuinely high standard, at much larger scale. The honest difference is engagement shape and who they are built to serve, not a claim that we do AI better than they do.
The Frame
Substantial specialist organisations with deep analytics benches, mature delivery practices, industry accelerators and in several cases their own platform IP. Built primarily to serve large enterprises, often as a multi-year analytics partner across several business units.
Much smaller by design. One pod, one metric per engagement, outcome-linked pricing, and a system handed over for your team to run rather than an ongoing analytics partnership.
Their data scientists are excellent, so this was never about talent. It is about shape, and who you are to them.An enterprise analytics partner with a portfolio, or a small senior team accountable to one number.
Time to production
There is no figure opposite ours. Programme lengths vary far too much to state as fact, and inventing one would fail the same test that kept every other statistic off this page.
Side-by-side
Honest in both directions
Statisticians, ML researchers and domain specialists in numbers a small pod cannot match. For genuinely hard modelling problems that depth matters.
Pre-built components and reference solutions that can take real time out of a build. That is a genuine advantage, not marketing.
Long reference lists with large enterprises, and the delivery maturity that comes from operating at that size.
Their model is oriented to large, long programmes. A single well-scoped system may not be the engagement they are set up to sell.
Where accelerators or products are involved, ask what you own at the end and what happens if you leave.
At scale, delivery is staffed across seniority levels. The same question applies as anywhere: who is actually on your team.
One system scoped to one metric is our normal shape of work, not an exception squeezed in around larger accounts.
No accelerator licences and no platform IP in the middle of your system. The code, the harness and the docs are yours.
The engineers who scope your system build and operate it.
On specialist research-grade modelling, a large analytics bench beats a small pod. If that is your problem, they are the better call.
We start from open tooling. Where a mature accelerator genuinely fits your use case, it can be faster.
We are a younger firm with fewer enterprise logos behind us. That is a fair thing to weigh.
Keep comparing
A direct conversation about the problem, the metric, and whether we are the right shape for it. If another option on this page fits you better, we will say so.
Talk to us
