About Grapine
An AI product studio, built one shipped problem at a time.
We started with real problems (cost, growth, skills), and each time the fix didn't exist, we built it. Eight live products later, the same studio builds for you.
25 years
in software, deep in AI
AI Patent
granted
Microsoft + Accenture
production deployments
8
products shipped
Certified
The background
The practitioner behind the studio.
Twenty-five years in software, a significant stretch of it deep in AI. Not reading about it or advising on it: shipping production AI into large organisations and living with the consequences when it worked and when it didn't.
That includes senior roles at Microsoft and Accenture, systems deployed inside large organisations, and a granted AI patent.
The useful part of that history isn't the logos. It's month six. It's the systems that demoed beautifully and drifted quietly. The costs that looked fine at pilot volume and didn't at production volume. The tools nobody used because they were built for the process on paper rather than the process people actually followed.
Most AI advice is written by people who have never had to keep a system running after launch. The products and the consulting work are both shaped almost entirely by that part.
What we believe
Five things that decide how we work.
Ship, don't diagnose.
No strategy decks. No audit reports. We start from a written plan you approve, then build: agentic systems, multi-agent pipelines, custom AI products. Every engagement ends with working software your team uses, not a document explaining what working software might look like.
Build for ourselves first.
Every product we've shipped started as a problem we hit in our own work. Context costs, competitive signal, outreach volume, social presence. We're subject to the same constraints we build for. That keeps the work honest.
Scope before building.
A brief you approve before we write any code is the cheapest protection available. Most AI projects fail not on technology but because nobody agreed what the thing was supposed to do.
Some things shouldn't be automated.
We turn down work. When the process underneath is broken, when the volume doesn't justify the build, when the judgement genuinely doesn't transfer. Saying so early is worth more than a signed contract.
Stay small on purpose.
We take on a limited number of engagements at a time. It means we occasionally say no to work that would be a fine fit. It also means the engagements we do take get senior attention throughout, not a senior pitch and a junior delivery.
Products and consulting
Products first, consulting second.
Eight products, each one started as something we needed ourselves. Context costs, competitive signal, outreach volume, social presence, skills gaps. Each time the fix didn't exist, we built it. Because the problem was common, we made it available.
Building our own products keeps the consulting honest. We're subject to the same constraints we build for: token economics, cost at scale, quality drift, maintenance. The client work doesn't start from a blank page, and we can tell you what actually holds up in production.
How we work
A small studio, deliberately.
We take on a limited number of consulting engagements at a time. It means we occasionally say no to work that would be a fine fit. It means every engagement gets senior attention throughout, not a senior pitch and a junior delivery.
Small and deliberate. Working with businesses in the US, the UK, and India. Most engagements run remotely; on-site available where the work benefits from it.
Find out for yourself
Explore what we've built, or start a conversation.
Bring a brief or a problem. We tell you honestly whether we can help, including when the answer is no.