Launching in San Francisco

Build Your
AI/ML Tools MVP.
In San Francisco.

Stop looking for co-founders or expensive agencies in San Francisco. We build fully functional AI Tools MVPs in 30 days. Fixed price £4,999. Own your code.

Start Your Sprint
Founder
Founder
Founder
Trusted by
San Francisco Founders
STRIPE
Vercel
NEXT.JS
SUPABASE
Validated in San Francisco
Project
AI/ML Tools MVP
Clear use case and workflow
LLM integration (OpenAI/Anthropic API)
User interface for input/output
Timeline
30 Days
Cost
£4,999

Why San Francisco is the
Perfect Launchpad

San Francisco remains the global epicenter of venture-backed tech, with unmatched density of startups, investors, and tech talent. The city defines what's possible in tech.

Thriving Ecosystem

OpenAIStripeAirbnbUberFigmaNotion

SF innovation speed, without SF burn rate

  • £4,999 vs $50,000+ SF agency quotes—do the math
  • We understand what SF investors expect from MVPs
  • Build while you fundraise—parallel paths
  • UK quality without Bay Area overhead
Timezone Advantage

SF is 8 hours behind London. We're wrapping up our day as you start yours. Truly async collaboration—no midnight calls needed.

Why AI/ML Tools MVPs Fail
And How To Avoid It

We've seen dozens of founders in ai/ml tools make these mistakes.

Training custom models

Building ML infrastructure instead of applications.

Our SolutionOpenAI, Anthropic, and others have better models than you'll train. Build the application layer on top of their APIs.

AI-for-AI's-sake

Adding AI because it's trendy, not because it solves a problem.

Our SolutionAI is a tool, not a feature. What workflow does it improve? If you can't answer that, don't add AI.

Ignoring the interface

Focusing on prompts and models while the UI is an afterthought.

Our SolutionChatGPT won because of the interface, not the model. Your AI's value is in how humans interact with it.

Scope Management

What Your MVP Actually Needs

Don't waste budget on features you don't need yet. Focus on validation.

Must Haves

  • Clear use case and workflow
  • LLM integration (OpenAI/Anthropic API)
  • User interface for input/output
  • History and saved outputs
  • Basic usage tracking

Wait For Later

  • Custom model training
  • Complex prompt chains
  • Multi-model comparisons
  • Enterprise AI governance
Tech Stack

Built to Scale.
Not Just a Demo.

We use the same stack as billion-dollar startups. Next.js + Supabase + OpenAI/Anthropic APIs. Vercel AI SDK for streaming. Focus on the workflow, not the model.

Frontend
Next.js 14
Language
TypeScript
Database
Supabase
Payments
Stripe
const mvp = await ship(
  'ai-tools',
  'san-francisco'
);

Core Features We Build

Task-specific AI interface
Document/content processing
Output history
Team workspaces
Usage dashboards
Limited Availability in San Francisco

Ready to Displace the
Incumbents?

Join 18 other founders starting this month. Fixed price, guaranteed delivery, 100% ownership.

£4,999
One-time
30 Days
Delivery
100%
Ownership
Start Your Project Now

Only 2 spots left for San Francisco founders this month