We build or stabilize your Rails engineering base — architecture, processes, delivery. From building new systems from scratch to surgical fixes or emergency stabilization.
One outcome: an engineering system spanning code, infrastructure, team workflows, and AI — something you can control and rely on.
Case Study: IT Asset Management SaaS - 5 years of growth
We turned a pre-seed idea into a stable SaaS with a strict weekly release cadence.
We then evolved it through multiple pivots, infrastructure migrations, and multi-year functional expansion — all with a lean 3–4 FTE team.
We cleared the blockers to mid-market adoption and made customer setup predictable.
We scaled safely, introduced a unified integration engine, and expanded to 60+ HR/IAM/MDM connectors while enabling a partner channel through multi-account architecture.
The product earned sustained G2 recognition and became a core automation layer for hundreds of companies.
Case Study: Mobility as a Service platform
We took over a mobility product from a costly Swiss agency and restored predictable, high-velocity delivery with a lean team.
We stabilized the platform and IoT layer (Raspberry Pi + Bluetooth locks), removed release friction, and re-established a reliable delivery cadence.
Once the system was stable, we expanded the backend to support new transport types — scooters first, then cars — and adapted the system around the new operational model.
We grew the functional scope 6–8×, and helped the company secure follow-on investment by demonstrating technical stability and consistent delivery momentum.
Services
Track Laying Crew
When:
Startup MVP
New product line
Greenfield application
What:
Proper foundation
Spikes driven correctly
Junctions planned ahead
Built to scale
⨳ Junction Planning Office
When:
No decision making mechanism
We just use what we use
No clear direction
What:
Technology choices
Architecture direction
Scaling strategy
Migration planning
Engineering culture
⚙︎ Flying Crane Train
When:
Legacy disaster
Development slows down
Rewrite being discussed
Complexity collapse
What:
Heavy rescue equipment
Emergency response crew
Zero-downtime operations
Full reconstruction capability
Will take time
⟳ Regular Crew for regular work
When:
Lack of internal crew
Existing team is overloaded
Too focused on feature delivery
What:
Daily maintenance
Continuous improvement
Refactoring
Updates
Monitoring
Whatever needs doing
A word from Chief Engineering Officer
I bring two decades of building, scaling, and restoring engineering systems in Rails-based products — leading teams, restructuring delivery, and restoring operational order.
My role is to align engineering with the pace of the business, establishing clarity, momentum, and long-range stability across the entire engineering function.
⚒︎ Our tech stack
The base minimal: Rails · PostgreSQL · Sidekiq · GitLab · Docker
Minimal surface area. Minimal entropy. Maximum velocity.
Scale layer: Go, Clojure, React, React Native, LLMs.
Added only when complexity justifies it.
