AI product engineering for funded startups

You've closed pre-seed to Series A and have an AI product to ship. Add senior engineering capacity without trading away code quality or delivery discipline.

Audience fit

Is this you?

A quick fit check before either side spends time on a call.

Who this is for

  • Pre-seed to Series A AI product startups
  • Companies with $500K–$10M raised
  • Teams of 3–30 people
  • Building in AI Marketing, AI Healthtech, or AI Fintech
  • A founder or CTO, technical or not; we handle both
  • You have a defined product, or a near-defined product

Who this isn’t for

  • Enterprise companies ($200K+ project budgets): we serve startups, not the Fortune 500
  • Bootstrap or pre-funding companies with under $10K budget: start with a Tech Audit instead
  • Non-AI products: we only take AI work
  • Marketing services buyers: we build software, we don’t run campaigns
Office workspace with desks

From pre-seed to Series A: engineering that scales with your raise

Operating range

Built for funded pace

The teams we fit best already have product pressure, investor expectations, and a real roadmap to ship.

Pre-seed to Series A

Funding stage

$500K–$10M

Capital raised

3–30

People on the team

Production surfaces

What shipping looks like

Real product screens from funded teams, shown as they were delivered.

PixelFox inventory SaaS pricing plans
PixelFox, inventory SaaS pricing plans.
Carma climate platform welcome screen
Carma, climate platform onboarding.
Simple Cookie Banner editor and banner preview
Simple Cookie Banner, compliance tool editor and preview.

Engagements

What we typically do for funded startups

Start with the smallest engagement that resolves the next engineering decision.

01

Tech Audit

The starting point for budgets under $15K and for vendor vetting: a clean read on your stack before you commit.

02

Discovery Sprint

For a new product build that needs scoping. We pin down architecture, scope, and a realistic plan before any code ships.

03

Project Build

Fixed-scope delivery, typically after a Discovery Sprint has pinned down the spec.

04

Embedded Squad

For Series A+ companies with evolving roadmaps: an embedded senior team that flexes with your priorities.

05

Project Rescue

For projects a previous vendor left broken or behind schedule. We stabilise the codebase and get it shipping again.

Starting point

Where most funded startups start

Tech Audit or Discovery Sprint

For most funded startups, the right starting point is either a Tech Audit (if you’re still vetting vendors) or a Discovery Sprint (if you’re ready to commit to a build). Project Build follows once scope is locked. Embedded Squad makes sense once Series A growth calls for ongoing capacity.

Discuss my project
Code detail on a screen

Production delivery

Your investors backed a product. We make sure it ships.

Tech Audit, Discovery Sprint, Project Build: start with the smallest engagement that answers your next engineering decision. Fixed scope, senior engineers, no junior padding.

A note from the founder

From the founder

I started Robust Devs in 2019 after watching too many good products die between agencies. The pattern was always the same: big promises in the sales call, silence by week six. We built this firm to be the opposite of that. A small senior team, honest scope, and the uncomfortable truth delivered early.

If you are building in marketing, healthtech, or fintech, tell me what you are working on. If we are not the right team for it, I will say so on the first call and point you somewhere better.

Tayyab Hanif

Tayyab Hanif

CEO, Robust Devs

Frequently asked questions

  • Anything sub-$15K routes to a Tech Audit; it’s the cleanest way to get value fast. Larger scopes move into a Project Build, usually after a Discovery Sprint.

Funded and shipping an AI product? Schedule a meeting.

No sales team, no SDR loop. Speak directly with engineers who have shipped AI products to production.