Industries / Startups

A real product in front of investors and users, on a codebase your first hire can own.

Early-stage teams need a working product fast, without a codebase that falls apart the moment a real engineering hire looks at it. We embed with founders to scope the smallest version that proves the core loop, ship it in weeks, and hand it off clean.

8 wks to MVP Ahead of a Series A conversation, seed-stage marketplace startup
100% of agent actions logged, replayable & reversible
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KEY CHALLENGES

A demo that doesn't survive investor questions
Mockups and prototypes fall apart under "show me it working".
No engineering team yet, and a raise on the calendar
The idea is validated; nobody has built it.
A codebase nobody wants to inherit
Fast, scrappy code becomes a liability the day you hire your first engineer.
Zero usage data to show the next round
Investors want evidence of a working loop, not a roadmap slide.
Scope that keeps growing before anything ships
Every stakeholder adds one more feature to the MVP.

WHERE WE START

Generative AI

Generative AI

AI-native features scoped and shipped as part of the MVP, not bolted on after the raise.

Learn more

OUR STARTUPS TECHNOLOGY EXPERIENCE

AWS
Google Cloud
Node.js
PostgreSQL
Stripe
8 wks to MVP

Ahead of a Series A conversation, seed-stage marketplace startup

Ten industries. One audited standard.

Different regulations, different systems of record — the same discipline every time: agents that run inside guardrails and leave a record you can read.

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Startups case studies

Challenge, solution, results. Four engagements in this sector.

Anonymised at the client's request. Each card states the pain point, what we built, and what changed. Plus the service type and country.

01 study
AI MVPs USA

Investor-ready MVP in 8 weeks for a seed-stage marketplace startup

Seed-stage B2B marketplace startup, San Francisco

Challenge
The founders had a validated idea and a Series A conversation booked in nine weeks, but no engineering team yet and a static prototype built in a design tool. Investors wanted to see real supply and demand matching working end to end, not mockups.
Solution
AGS embedded a small team to scope the smallest version that proved the core matching loop, built it on a stack the founders' eventual hires could take over without a rewrite, and instrumented it so the founders had real usage data to show, not just a working demo.
Results
  • Working MVP shipped in 8 weeks, ahead of the Series A meeting
  • First 40 supply-side users onboarded before the raise closed
  • Codebase handed off to the founders' first engineering hire with zero rewrite
Service type · AI MVPsCountry · USA

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