We need senior engineering delivery in an existing system
A squad that reads your codebase, respects your patterns and ships into production with tests and reviews. Clean integrations, no shortcuts that cost you later.
For CTOs and engineering leaders
Engineering delivery your team can stand behind
We plug in as a senior-led squad and ship into your real systems without leaving long-term debt. Humans own architecture, security and performance. AI takes the repetitive work. The decisions stay with senior engineers.
No rotating juniors, no account-management layer. The senior people who scope your work usually lead the build.
- Senior ownership of architecture, code review and trade-offs.
- Quality gates that hold under deadline pressure: tests, reviews, CI/CD.
- Security and reliability discipline. ISO 9001 and 27001 certified.
- Delivery speed you can measure, not a slogan.
8+ years, 60+ projects shipped, 4.97 / 5 across 34 Clutch reviews.
The situation
You're probably here because
If a few of these sound like your week, we are likely a good fit to talk.
A deadline slipped
An internal deadline slipped and you need senior capacity that does not create chaos.
Faster, without trade-offs
You need to ship faster without trading away reliability or security.
Integrations raise the risk
Integrations or legacy systems raise the risk on every change and need careful hands.
AI, but scattered
You want AI in the product, but the current efforts are scattered or risky.
A partner that holds your standards
You want a partner that works like your own team: your standards, your reviews, real accountability.
Where to start
Tell us the situation, we point you at the right team
Four common starting points for engineering leaders. Each maps to one of our services.
We need AI features, and we need them safe
In-product AI, RAG search, internal automation, and the data foundations under them. We build with guardrails and evaluations. Decisions stay human-owned, under a written AI use policy.
Start with
We need reliability, DevOps and long-term health
CI/CD, monitoring, backups, security hardening and access control. The operational discipline that keeps a product stable after launch, plus continuous development to pay down debt.
We need a longer-term stable squad
A managed squad or embedded engineers that own a stream of work under our delivery standards. Senior leads, clear ownership, predictable reporting.
Start with
How we start
How we start working together
A pragmatic onboarding that reduces technical risk early.
Discovery call
30–45 minutes
Goals, constraints, stack context and risk profile. First call is with our commercial lead, often joined by a senior product or engineering lead.
Triage and scoping
When the unknowns are real
We surface integration risks, clarify the unknowns and define the first deliverable slice. A small paid step, not a free audit.
Delivery
Inside your repos
Cadence, demos, release discipline. We work inside your repos, reviews and tooling, or help you evolve them. Senior ownership stays on architecture, code review and trade-offs throughout.
Proof
Proof you can verify
Reviews are published on Clutch, not curated by us. Our work runs in national institutions and data-sensitive systems, where security and auditability are part of the brief.
Written AI use policy
Our AI Use Policy defines what data AI tools may access, how we protect client and internal information, and which decisions stay human-owned.
Disclosed in the SOW
Where and how we use AI is written into the contract, and you can ask for a no-AI engagement instead.
Pseudonymised by default
When a tool needs context from your data, we abstract or pseudonymise it first, and follow your rules on what may leave your environment.
Secrets stay out of prompts
Pre-commit scanning runs before anything merges, and credentials live in a vault, never pasted into an AI tool.
Supervised, reviewed, tested
Generated code goes through the same review and test gates as anything else. Nothing skips QA because AI wrote it.
Used to reduce risk
Faster regression coverage, earlier bug detection, less manual toil. Not more rushed features on the roadmap.
Honest fit
Where we fit, and where we do not
We are clear about where we add the most value, and where another partner would serve you better.
We are a strong fit when
You have a live product and real users, and you want an external team that holds your standards.
- You want senior ownership of architecture, reviews and trade-offs, not a junior army.
- Reliability, security and maintainable code matter as much as speed.
- You want AI used to reduce delivery risk, and clear ownership of code and IP agreed in writing.
- You expect us to integrate into your repos, reviews, CI and tooling.
We are probably not the fit when
Some engagements are better served elsewhere, and we would rather say so early.
- You want a free pilot, audit or proof-of-concept before any commitment.
- You want us working around your reviews, CI and architecture, not inside them.
- You need bodies to staff a backlog with no shared standards or reviews.
- You want AI pointed at production data or secrets to save time.
FAQ
Common questions
We use AI to accelerate research, UX exploration, coding, testing and documentation, under clear human-owned standards. Seniors still make the calls on architecture, security, trade-offs and what actually ships; AI reduces busywork and iteration time instead of replacing judgment.
We operate under a written AI Use Policy that defines which tools we use, what data can go where and which decisions must remain human-owned. Sensitive production data and secrets are never casually fed into external systems, and all AI-assisted work goes through the same reviews, testing and quality gates as everything else.
By default, no. We pseudonymise or abstract where needed and follow per-client rules about what may or may not leave your environment. For clients with stricter requirements, we can use self-hosted or tenant-isolated AI options, defined together during onboarding.
We treat quality and reliability as first-class concerns: automated tests where they add value, clear performance budgets, logging/monitoring and incident practices. Part of our role is to leave your systems healthier than we found them, not just ship features.
You do. We usually work in your repositories and cloud accounts, or hand them over at the end, with clear documentation and runbooks so you're not dependent on us for basic operations.
For CTOs and engineering leaders
Senior delivery that does not leave you with debt
Share your context. We will propose the smallest sensible starting point and a delivery plan that fits your standards.
Build faster with AI
Our playbook for integrating AI into product design and development workflows.
Download the playbook