Remotebase — From Idea to Product in four weeks.
You don't need another AI deck. You need it shipped.
"From Idea to Product in four weeks."
We build AI that runs your business. In 30 days. Trusted by Northwestern Mutual, Gridware, and Fireflies AI.
PROCESS30 DAYS
D01
Scope
D02–14
Prototype
D15–30
Ship
D31
Live
Trusted by
Problem
The pattern we keep seeing
Two years of "AI strategy" later. What's actually running?
Month 01 \nHire a consultancy \nMonth 02 \nSit through demos \nMonth 03 \nPilot stalls in IT \nMonth 04 \nBuy ChatGPT seats \nMonth 06 \nSteering committee \nOutcome \nNothing in production \nBudget gone \nThat's why we'll only take your engagement if we're certain we can deliver.
Offerings
Four ways in. Pick one.
Fixed scope. Fixed price. Fixed deadline.
No discovery phases that bill forever. No retainers without an end date.
[01DiagnosticTwo weeks]\nWe tell you what's worth building. [02SprintFour weeks] \nWe build it. End-to-end. Production by day 30.
[03OperationsOptional] \nWhen you'd rather we run it. Most teams take their workflow and run. [04Embedded EngineersFlexible] \nSenior AI engineers in your codebase from day one.
Process
What you get in thirty days
From "let's chat" to "it's running" in 30 days.
Day 01
01 \nA workflow worth building.\nScoped, priced, on the calendar.
Days 02–14
02 \nA working prototype.\nRunning on your real data, in your environment.
Days 15–30
03 \nSenior engineers ship.\nBuild, integrate, deploy. Weekly progress demos.
Day 31
04 \nAI in production.\nYour code. Your team. Your stack. Done.
Case study
Featured case · Northwestern Mutual
"How a leading American insurer launched the world's first DAO-based pet insurance platform."
A 169-year-old financial services company partnered with Remotebase to build an AI-powered, blockchain-based insurance product — the first of its kind in the world.
01 \nWorld's first \nDAO-based pet insurance platform \n02 \nAI-powered \nRisk assessment, claims processing, customer support \n03 \nVariable Space \nNWM's new emerging-tech division grew out of this work
Compare
Three paths · one finish line
Three ways to put AI in production. Two of them don't work.
Doing it yourself \nIn-house \nEngineers learning AI on the job \nPilots that never leave staging \nNo production system after months \nTeam morale tanks \nBoard still asks "where’s the AI?"
Big consultancy \n$$$$ \n$500K upfront, nothing ships \nNine months of discovery \nFinal deliverable: a slide deck \nImplementation sold separately \nDemos that die in slides
Recommended \nRemotebase \n30 days \nWorking software in 30 days \nFixed scope, fixed price, fixed deadline \nSenior engineers who’ve already built AI \nYour team owns the code \nOne conversation to start
Why us
A short list of what's true
We ship when others don't.
01 · Track record
We've shipped real AI in production.
The world's first DAO-based pet insurance platform. AI-driven health and fitness data systems. Production AI features at companies you've heard of.
Why us
02 \nWe sell deadlines, not retainers.
Fixed scope. Fixed price. Fixed date. The opposite of a discovery phase that bills forever.
03 \nSenior engineers only.
The same engineers shipping for Northwestern Mutual ship for you. No staffing pyramid, no junior shadow team.
04 \nWe turn down work we can't deliver.
Most agencies don't. The diagnostic exists so we both know what's worth building before anyone signs.
Talk to us
Tell us what's broken. We'll tell you what we can ship.
"30 minutes. That's all we need."
If we can ship it, we'll tell you when. If we can't, we'll tell you why.