Recorded client call
“I find him very nice to work with and he actually delivers a very good quality. So I am really happy with him.”
Noa van der Veen · Strategy and operations, CheckyPro
Products shipped
Funded clients
Building since
In marketing, healthtech, and fintech, the AI model is the easy part. The systems around it decide whether the product works at scale. That is what we build.
AI that shows marketing teams which ads bring customers and where the budget leaks.
Explore AI MarketingPatient intake, symptom checks, and tools that save clinicians time. HIPAA-aware from the first commit.
Explore AI HealthtechPayments, lending, and fraud checks, built to the standard auditors accept. Mistakes here cost real money.
Explore AI FintechBackend, mobile, integrations, and AI workflows designed with privacy, security, and operational controls from day one.
Controls in place before you scale
Access, logging, change control, and incident response ready for an audit — not added after launch.
Health data handled carefully
For healthtech and wellness teams, we design your product with the right access controls, permission systems, and PHI safeguards.
Privacy by default
Data retention, consent, export, deletion, and vendor agreements are clearly documented across your system.
Five ways to work together, from a two-week audit to a full engineering team. Everything starts with a conversation before any paperwork.
Typical engagement runs 6–14 weeks, scoped and priced per project. Start with a $499 Tech Audit.
The same path from idea to production, whether you start from a blank repo or a product that already ships. Each stage lists a rough timeline and a next step.
New product. We start here.
Typical engagement · 8–14 weeks end to end
We map the product with you: user flows, scope, and the riskiest assumptions, before anyone writes code. You leave knowing what to build first.
Book a discovery sprintWe cut the roadmap to the smallest launch worth shipping, priced and sequenced, so the first release earns feedback instead of burning runway.
Estimate my buildWireframes, a design system, and a clickable prototype, built alongside engineering so what you approve is what ships.
See our design approachTwo-week sprints, weekly demo Looms, and CI/CD from day one. You watch it come together in your own Slack, not at a big reveal.
How we buildWe ship to your infrastructure with load tests, a security pass, and monitoring in place. Launch day stays boring.
Our deploy stackAfter launch we iterate on real usage: new features, performance, and scale, on a retainer sized to your roadmap.
Explore a retainerSince 2019, across three continents
Pre-seed through Series B
Clients who come back with round two
Median time from first call to sprint one
We tell you what we will not build. Clear scope ships faster than ambitious scope, and you hear the no before you pay for it.
See our processThe engineers on the first call are the engineers in your repo. No bait and switch, no hidden outsourcing.
Meet the teamSix-week sprints, weekly demos, and the financial clarity your investors expect when they ask how the money is being spent.
Schedule a meetingChosen for boring reliability, not novelty. Every tool here has shipped to production for a paying client.
Next.js
React
React Native
TypeScript
Node.js
Python
Supabase
AWS
Docker
GitHub
Figma
Vercel
A closer look at real products we designed, built, and shipped for clients — what we did and what each one achieved.
AI MARKETING
Pre-seedWe built a minimum viable product to connect disparate advertising APIs into a single, intuitive user interface.

Testimonials
Real client reviews: 4.6/5 across 58 reviews, all verifiable. Edited only for spelling.
4.6/5across 58 verified client reviews.Read them all at source
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
CEO, Robust Devs
Book a call, or get in touch. Both routes end with a straight answer.

Comparing AI models on vibes is how products end up 10x over budget. The comparison that holds up is cost per completed task, latency at your context size, and behaviour on your ow

The 2026 MVP stack is seven tools deep: an AI coding environment (Cursor or Claude Code), a UI scaffolder (v0 or Lovable), Supabase for the backend, Vercel for deployment, Stripe f

Choosing an AI development agency comes down to five checks: production evidence, compliance literacy, who writes the code, how the price is structured, and who owns the IP on day
Rarely. Most products get further by using frontier models well, with solid retrieval, evals, and UX around them. Training your own model is expensive and usually unnecessary. If your case is the exception, we will say so before any money changes hands.
Start a conversation
Bring a build brief or one unanswered question. Either route reaches the people doing the work.
01 / Plan a build
Spend 30 minutes testing your scope, constraints, and fit. You'll know whether we're the right team and what to do next.
30 minutes / No sales deck
Schedule a meeting02 / Ask a question
Send the technical, delivery, or fit question holding up a decision. An engineer will reply with a direct answer and useful context.
Direct reply / No automated sequence
Email the team