Industry
Technology & SaaS
We work with software companies as an extension of their engineering organisation: platform work, feature delivery and the infrastructure investment that gets deprioritised behind the roadmap.
01Overview
What we see in this sector
Product companies rarely need help knowing what to build. They need capacity, and specifically capacity that does not create more review burden than it removes.
That means senior engineers who work to your standards, in your repositories, through your review process. Not a parallel team producing code your team then has to understand and own.
We are most useful on the work that is important but never quite urgent: multi-tenancy, the migration that has been deferred twice, test coverage on the paths that keep breaking, and the platform investment that unblocks the next year of roadmap.
02Challenges
Where it usually hurts
Capacity below roadmap ambition
A backlog growing faster than hiring, with senior time consumed by interviews.
Deferred platform work
Multi-tenancy, migrations and test coverage that never outrank a customer-visible feature.
Scaling pressure
Architecture that worked at the last order of magnitude and will not survive the next.
Onboarding cost
New contributors taking months to become productive because the system is under-documented.
03Our approach
What we put in place
Embedded engineering
Senior engineers in your repositories, your standards and your review process from the first week.
Platform and scaling work
Multi-tenancy, sharding, caching and the architectural work that unblocks the roadmap.
Test and release engineering
Coverage on high-risk paths and pipeline work that raises release cadence and lowers incident rate.
Focused delivery pods
A self-contained team owning a defined surface end to end, where that suits better than embedding.
05Technology
What we typically build with
- Frontend02
TypeScript
Non-negotiable on anything a team will maintain. Types are documentation that cannot go stale.
React
The default for interfaces that need to stay maintainable past their first year.
- Backend02
Node.js
Shared language across the stack; strong fit for I/O-heavy services and BFFs.
Go
Infrastructure and high-throughput services with predictable memory behaviour.
- Cloud & DevOps03
Kubernetes
Where workloads genuinely need orchestration — not by default.
Terraform
Infrastructure as reviewable code. No console-clicked production.
AWS
Broadest managed-service catalogue; our default unless an estate dictates otherwise.
- Data01
PostgreSQL
The default relational store. Correct, extensible, and boring in the best way.
06Outcomes
What clients typically see
2 weeks
To first merged production change
Your standards
Your repos, your review process
Flexible
Embedded engineers or a delivery pod
Documented
Handover assumed, not negotiated
Want these numbers scoped against your own operation?
Book a technical assessment08Questions
What operators in this sector ask
Next step
Running technology & saas operations that need better software?
Start with a fixed-price assessment of the systems you already have. Scope, sequence and cost, before you commit to a build.