Measure before building
Every engagement starts with an audit and a baseline. Without a number from before, "it's much faster now" is just a feeling — and we can't tell you whether the work paid for itself.
About
Most automation projects fail quietly — not because the model was wrong, but because nobody wired up the retries, or the person who understood the process left. We build the unglamorous parts properly.
Who we are
Mindspace AI is a senior team of engineers, data folk and operators. We've built internal systems inside logistics firms, marketplaces and venture-backed SaaS — which is why we tend to ask about your invoicing process before we talk about models.
We take on a handful of clients at a time. Everyone who sells you the work also does the work, and you'll never be handed off to a junior team after the kickoff call. That limits how fast we can grow, which we have made peace with.
The work is usually less exciting than the brochure suggests. A good week might mean deleting a spreadsheet, replacing four manual handoffs with one, and writing the documentation that lets your team run it without us.
How we work
These are not values on a wall. They are the reasons we occasionally lose pitches.
Every engagement starts with an audit and a baseline. Without a number from before, "it's much faster now" is just a feeling — and we can't tell you whether the work paid for itself.
Something real goes live every fortnight. Long build phases hide problems until they are expensive, and a system nobody has used yet is a guess with a budget attached.
Logging, retries, alerting and a runbook, on everything. It is the difference between an automation that lasts a year and one that quietly rots the first time an API changes.
Documentation and training are part of the build, not an upsell. If you need us to keep the lights on, we have failed at the part that matters most.
The team
Eleven of us, across four continents. The person on your kickoff call is the person writing the code.
Straight answers
Occasionally the right call, usually not. If the questions are answerable from documentation you haven't written yet, writing it is cheaper and helps every channel at once.
A model fed with stale, internally contradictory inputs will be confidently wrong, which is worse than no model. Fix the pipeline first — that is usually the whole project.
Ageing software that quietly does its job is not a problem. We'd rather automate around it than spend your budget on a migration nobody asked for.
If a process is under review, automating it locks in a decision you have not made yet. We'll wait, and build it once.
Book a demo
Thirty minutes, no pitch deck, and a straight answer on whether we're a fit for what you need.