Is it worth building?
Before you spend on an AI or software product, we work out what it would cost, what it would return and how sure we can be. A fixed-fee analysis from the people who would build it.
Who it’s for
For firms without an AI team.
You don’t need a lab or a data-science department. You need to know which idea will pay, and senior people to build it.
No AI expertise in-house
You can see AI changing your industry, but no one on staff can tell which ideas are real for your business. We bring that judgment.
A small team with a full plate
Your engineers are busy running the core product. We take the new build off their desk and hand it back documented.
A budget that has to pay back
You need a return you can point to, not an experiment. We put a number on it before you commit, and measure against it after launch.
What you receive
Numbers you can decide on.
Not a strategy deck. A short written analysis of where AI and software would pay off in your business, what each opportunity would cost and return, and what we would do in your place.
- Where time, money and errors go in the workflow today
- Each opportunity sized: cost to build, cost to run, expected return
- The riskiest assumption tested on a sample of your own data
- A clear call on each one: build, wait or don’t build
- For what is worth building: scope, timeline, budget and the metric we would be measured on
How it works
Four steps, one decision.
Fixed scope and fixed fee, agreed before work starts. The same principals carry it from the first call to the recommendation.
Talk
A first call with a principal. Describe the idea or the workflow, and we’ll tell you whether an analysis is worth doing at all.
Scope
We agree in writing what we’ll examine, what you’ll receive and a fixed fee. NDA first if we need your data.
Analyse
We map the workflow, size each opportunity and test the riskiest assumption on a sample of your data.
Decide
We walk your team through the numbers and our recommendation. Build with us, build with someone else, or don’t build.
Why us
Broad experience, senior hands.
Our principals trained as engineers and have led products in software, data, AI and physical technology. That range is how we tell a good idea from an expensive one.
The builders do the analysis
The principals who size the opportunity are the ones who would lead the build, so the numbers come from people who have to live with them.
Many industries
Investment management, education, biotech, real estate and advanced materials. What works in one often transfers to another.
AI only where it pays
We use models where they create leverage and plain engineering where they don’t.
Yours to keep
The analysis, and anything we build afterwards, belongs to you from day one.
Questions before you call
What does it cost?
A fixed fee, set by the scope we agree on the first call and confirmed in writing before any work starts. No hourly billing.
How long does it take?
It depends on how many workflows are in scope and how much data we need to see. We confirm the timeline on the first call, before you commit to anything.
Do we need our own AI or data team?
No. You bring knowledge of your business and how the work gets done today. We bring the AI, data science and engineering.
What if the answer is “don’t build”?
Then the analysis has done its job: it has saved you the cost of a product that would not pay back. The findings are yours to keep either way.
Do we have to hire you for the build?
No. The plan is written so any capable team could carry it out. If you do build with us, the principals who sized the opportunity lead the work.
What do you need from us?
Time with the people who know the workflow and, under NDA, sample data or documents where the analysis needs them.
Start a project
Find out before you commit.
Tell us the idea, or the workflow you want to improve. A principal reads every message and replies within one business day.