Senior engineering. AI-native delivery. Nearshore economics.
RabStack builds, automates and modernizes software with a senior engineer on every line of work — AI wired into delivery, estimates that hold, and results you can take to your board.
- Founder-led delivery
- Kick-off in 2–3 weeks
- NDA before any technical deep dive
Currently shippingAI agents for support teams
- Billing API — refactor merged
- Onboarding flow — in review
- Load test at 3x peak traffic
AI review: 3 issues caught before QA — the migration plan was updated automatically.
AutoProducts and platforms our team has built
10+
Years building production software in fintech, health-tech and insurance
50+
Products and platforms delivered — including two of our own running today
95%
Detection accuracy shipped in a medical-device inspection system
10
Insurer portals automated into a single collections platform
Three problems send most clients our way
They are not technology problems as much as they are capacity and trust problems. We are built around exactly those.
The roadmap is stuck behind hiring
Building a senior in-house team takes six to twelve months. Your competitors are shipping this quarter, and the market window does not wait for your job posts.
The last vendor over-promised
Teams that need babysitting, estimates that double halfway through, and a codebase you inherited without documentation. It should not be this hard to trust a partner.
Nobody wants to touch the legacy core
Everything new has to fight through fifteen-year-old systems. The backlog only grows, and every release feels like defusing a bomb in production.
Stop stalling. Start shipping. We embed, execute and report — from week one.
See if we are the right fitSpecialized hubs. One integrated team.
Eight practices, one delivery model. Most engagements combine two or three of them — and you always know who owns what.
Fluent in the tools your roadmap already uses
We are not religious about technology. We are fast in the platforms your team, your data and your auditors expect — and honest when something else fits better.
Languages & frameworks
- TypeScript
- JavaScript
- Python
- C#
- Java
- Dart
- React
- Next.js
- Django
- FastAPI
- Flask
- Angular
- Flutter
AI & automation
- TensorFlow
- OpenCV
- Keras
- Pandas
- NumPy
- Playwright
- Puppeteer
- RAG & LLM APIs
Data
- PostgreSQL
- MySQL
- MongoDB
- Redis
- BigQuery
- Firebase
Cloud & DevOps
- AWS
- Google Cloud
- Docker
- Kubernetes
- Terraform
- GitHub Actions
- Cloudflare
- Vultr
Vendor names describe hands-on engineering experience. RabStack is an independent studio and is not affiliated with, sponsored by or endorsed by these vendors.
Flexible models built around your goal — not our billing structure
Every model comes with the same delivery discipline: weekly written updates, visible boards and an estimate you can hold us to.
Dedicated Product Teams
A pod — engineering, design and QA — dedicated to your roadmap, led by a senior engineer.
- Pod of 2–8 people
- Your tools, your rituals, your repo
- Monthly rolling terms
Project-Based Delivery
A defined outcome, a fixed timeline and a fixed fee — with weekly written progress you can forward.
- Fixed scope and price
- Milestone-based payments
- Written weekly reporting
Staff Augmentation
Senior profiles that embed in your existing squads, screened against your real tech stack.
- Profiles in 5 business days
- You interview and decide
- 30-day flexibility
Advisory & Architecture
Fractional CTO support, technical due diligence and architecture reviews before you commit budget.
- Architecture and security review
- Roadmap and staffing plan
- Vendor and platform selection
We speak your industry's language
Domain context shortens every conversation. These are the sectors where we already know the constraints, the compliance rules and the shortcuts that backfire.
We operate what we ship
Every one of these runs in production with real users: two are our own products, one is a company we co-founded, and one we built end to end and still operate.

Uruguay
Built in one studio, shipped to US time zones, owned by the people who run it.
We don't describe outcomes. We deliver them.
A selection of engagements, the numbers that came out of them and how each pod was staffed. Filter by industry to see the closest match to your world.

Real-time AI inspection for medical device cleanliness
Inspectors reviewed borescope video by eye — slow, subjective and almost impossible to audit. We trained and optimized vision models for in-browser inference and wired them into the operator workflow.
- 95% detection accuracy in production
- 30% faster processing

Automating policy collections across 10 insurer portals
Collecting payment statuses meant staff logging into ten different insurer portals by hand. We built a distributed RPA platform that does it continuously, with an audit trail per policy.
- 10 insurer portals automated
- Distributed browser fleet

An internal assistant over the company's own documents
Consultants were hunting through years of internal documents by hand and pulling financial reports manually. We built a RAG assistant that answers over the whole corpus with live data.
- RAG over the internal corpus
- Live financial data pipelines

An account-to-account payments platform for Uruguayan businesses
We built and ran a fintech platform from zero: business payments between bank accounts, reconciliation tooling and an operations console — product, infrastructure and security in one hand.
- Bank-to-bank A2A flows
- End-to-end product ownership

Turning textbooks into a live classroom experience
A US edtech company needed to convert licensed textbook content into interactive, game-like sessions teachers could run live — while serving bursts of concurrent classrooms.
- Concurrent classroom sessions
- Publisher-licensed content

A serverless trip planner for Uruguay's intercity buses
Our own product: a highly optimized trip planner that searches schedules, stops and prices across operators, served from the edge to keep maps fast on mobile connections.
- Serverless and edge-cached
- Built and operated by us
A delivery rhythm you can plan around
No black boxes and no surprise invoices. This is the same five-phase path every engagement follows, whether it lasts six weeks or six years.
Discover
Two weeks with your stakeholders and systems. We map the real problem, the constraints and the fastest path to value — then hand you a plan you could run without us.
Design
Architecture, flows and clickable prototypes before a single production line of code. You see the product on screen while it is still cheap to change.
Build
Two-week sprints, demo every Thursday, staging link you can open any time. AI pair-tooling across the team keeps the boring parts out of the critical path.
Harden
Automated tests, security review, load baselines and accessibility checks become release gates — not an afterthought in a pre-launch panic.
Scale
We stay through the first releases, watch the metrics with you and move to whatever the roadmap needs next: more features, more data, more automation.
This is what working with us looks like, week by week
No status-report theater. Same board, same numbers, same timestamps your pod sees — from the first sprint to the last handover.
Billing API — idempotency keys
Onboarding step 3 — validation
Ledger reconciliation job
Rate limiting on public API
KYC document capture
Audit log for admin actions
We will put you on a call with the people we built for
We do not publish client names, logos or quotes without written permission — the same discretion we will apply to your project. Ask on the first call and we arrange a reference conversation directly.
What that call gives you
- Direct contact with the engineer who delivered a comparable engagement — medical-device vision, insurance automation, a payments platform or an edtech product.
- Straight answers about estimates, communication cadence and what went wrong along the way.
- The client's own view on working with a small, founder-led studio instead of a large vendor.
A technology partner you can put in front of your board
Trust is not a slide until it is tested on a bad week. These are the commitments we put in writing before any engagement starts.
NDA-first engagements
We sign an NDA before any technical deep dive, and we work under your paperwork when you have it.
Least-privilege access
Scoped credentials, short-lived sessions and access you can revoke in a single step.
Regulated workloads
Hands-on experience inside medical-device, insurance and fintech environments with hard data constraints.
Code and IP are yours
Repositories live in your organization from the first commit, with a documented exit plan.
Ask for our security addendum, our delivery playbook and two client references before you sign anything. We prefer clients who do their homework.
How we are organizedWhat we are learning, in public
No thought-leadership theater. Practical notes from the pods about AI-native delivery, modernization and the decisions that age well.
Questions we get on the first call
Short answers to the things clients actually ask before signing. If yours is missing, ask us directly.
Ready to build something that matters?
Tell us where you are and where you want to be. In one call you will get a realistic view of scope, team and timeline — and whether we are the right partner.

