Some problems have no product to buy. The work just gets done the hard way, every day. That’s what a custom build is for: we design the system around your business and build it with AI and your team. It ships into what you already run.
Let’s talkYou’ve sat through the demos and priced the platforms. Every one of them solves most of somebody else’s problem and asks your team to bend around the rest.
A custom build starts from the other end. We draw up your workflow and your data first, then build the system to fit them. You own it when we leave.
And if a tool off the shelf really would do the job, the free assessment says so. That answer costs you nothing and saves you a build you didn’t need.
This is the from-zero service. Already built the thing and need it to hold in production? That’s a different door: Prototype to Production.
They know the work better than any requirements doc ever will. We design beside them and build with them, so when the system ships your team can run it and change it without us.
The system lands inside your stack, your accounts and existing tools included. Integration gets designed in from the first drawing rather than bolted on at the end.
We use a lot of agents here, to do work, and it makes the build fast. Every call that matters still passes a human who has been shipping systems for twenty-five years.
Documentation, monitoring, an incident plan, and a named owner, all written into the delivery before launch day.
“Finished system” is an easy thing to say. Most AI projects don’t end so much as trail off: one more prompt, one more version, almost right. Nobody in that loop ever says done.
So we draw the line first. The scope puts finished in writing before the build begins: acceptance criteria for function, performance, and security, plus what paying off means in numbers, measured against the way you do it today. The build ends when the work crosses that line, not when everyone is exhausted.
Finished means: it runs in production, inside your stack, doing the job it was drawn up to do. Your team can operate it. Someone’s name is on it. And the numbers we agreed on say it was worth building.
The scope comes first. It prices and schedules the build before the build starts, and every one of them begins with the assessment.
Innovation Theory opened that year in Denver. ShapeShift and SALT both launched out of the office. The same trade carries into AI: 140+ engagements, and the job hasn’t changed.
Creative direction on Disney, Pixar, and Universal film campaigns.
25 years · 140+ engagements · in business since 2011
“For over ten years, Innovation Theory has been part of the ShapeShift journey. They’ve helped shape the brand, the product, and the tech behind it. If you want a team that knows crypto inside and out, you won’t find better.”
Custom AI software development is building a system that does not exist to buy: designed around one business’s workflow and data, built with AI tooling and the client’s own team, and shipped into the stack the business already runs. Innovation Theory starts from the workflow and the data, draws the system to fit them, and puts finished in writing before the build begins: acceptance criteria for function, performance and security, and what paying off means in numbers. The client owns the system when the work ends.
The cost and duration of a custom AI build are set by the scope, in writing, before the build starts. Every build begins with the free assessment, and if a tool off the shelf would do the job, that answer costs you nothing.
Ask before you build anything. If something off the shelf does the job, the free assessment says so and saves you a build you didn’t need.
Yes. Your people know the work better than any requirements doc, so we build beside them, inside the stack you already run, and leave documentation your team can operate and change it with.
The client owns the custom AI system when the build is done. It runs in production inside your stack, your team can operate it, and someone’s name is on it before launch day, with documentation, monitoring and an incident plan in the delivery.
Before building, we agree the acceptance criteria for function, performance and security, and how the payoff gets measured against the way you work today. The build ends when it crosses that line.
No. We still do business strategy, product, tech, marketing and design work, websites and mobile apps included, as Innovation Theory has since 2011. AI is on our side of the work now, so it lands faster and costs less. Your project doesn’t need AI inside it.