Product architecture
Service boundaries, data ownership and integration design decided before code, and written down.
Software engineering
Backend, API and cloud engineering that stays predictable at scale
The backend is where an MVP either becomes a product or becomes a rewrite. We build the data model, the APIs and the infrastructure so that the tenth customer costs less than the first, every access rule is tested, and your next engineer can read how it works.
Overview
Services, integrations and infrastructure sized to actual traffic. We design for observability first, so the system tells you what it needs before your users do.
- Ruby on Rails & TypeScript
- REST APIs
- Data & machine learning pipelines
- Cloud infrastructure
Problems we solve
- The system slows down as it grows
- Architecture chosen for the first thousand users becomes the constraint at the hundred thousandth.
- Every change is risky
- No tests, no observability, no boundaries, so a small feature touches everything.
- Integrations are fragile
- Third-party APIs fail in ways the system was never designed to absorb.
What we build
Backend systems & APIs
Rails and TypeScript services with REST contracts your other teams can build against.
Cloud & scalability
Containerized deploys, sized to real load, with cost visible per service.
Security & maintainability
Authentication, authorization, auditability and a test suite that lets people change things safely.
Typical use cases
- Modernizing a monolith without a rewrite freeze
- Building the API layer behind a web and mobile product
- High-volume integration and workflow engines
- Cost and performance work on an existing cloud footprint
How we deliver
- 01
Discovery
A scoped session to agree the problem, the constraints and the metric that will move.
- 02
Design & architecture
The smallest structure that solves it, written down before anyone writes code.
- 03
Build
Two-week increments with something reviewable at the end of each one.
- 04
Run & improve
Monitoring, iteration and a handover your own engineers can carry.
Technology we use
- Ruby on Rails
- TypeScript
- Python
- PostgreSQL
- REST APIs
- Docker
Proof from the portfolio
Systems where the backend is the product: mail that has to arrive, monitoring that must not cry wolf, matching that has to show its evidence.
Email infrastructure
PigeonAtlas
Email sending for applications: an HTTP API and an SMTP endpoint, Resend-compatible, with your own DKIM key and newsletters that can never delay a password reset.
See the projectMonitoring SaaS
Server Inspector
Uptime, SSL, domain and API monitoring that tells you something broke before your customers do.
See the projectAI matching platform
Work Transcendence
A knowledge graph of what a person knows, where every claim keeps the sentence that proves it, matched to real work requirement by requirement.
See the projectFrequently asked questions
- Do you do full rewrites?
- Rarely, and only when the numbers support it. Incremental modernization behind a stable interface is usually faster and far less risky.
- Which cloud do you work with?
- Managed PostgreSQL and container deploys on the major clouds, or whatever your team already operates.
- Can you take over an existing codebase?
- Yes. We start with a short audit, then agree what to stabilize first before adding features.
How to buy this
Backend work is sold as a monthly arrangement or as the whole technical side.
Related capabilities
Started with Lovable, Bolt, v0 or Cursor?
Run the free production-readiness audit first
If your app was generated by an AI builder, the first question is not which service you need. It is what the codebase is hiding. Paste the URL, get the report in a minute. If one thing is broken, we fix that single problem rather than selling you a project.
From the products we build
Free tools and guides from software we built and run ourselves.
- pigeonatlas.comSPF, DKIM and DMARC, explained by what actually breaksThree DNS records with three different jobs, and the specific ways each one fails without telling anyone.Read it
- serverinspector.comHealth check endpoint design: /healthz best practicesLiveness, readiness and deep checks, with the timeouts and caching that keep a health check honest.Read it
Keep going
Where to go next
- Read the case studiesChallenge, solution and measured outcome from delivered engagements.Continue
- Calculate project costA guided technical discovery that returns a budget range, timeline and team shape.Continue
- Book a strategy callForty-five minutes with the engineers who would actually build it.Continue
Software engineering
Talk to us about Backend, APIs & cloud
Tell us the problem and the deadline. You will speak to an engineer, not a sales team. We typically reply within 48 hours.
