Senior engineering, accelerated by AI. Governed by people.
We use modern AI coding agents across our delivery process to move faster and test more thoroughly. Every line that reaches your product is reviewed, owned and accountable to an engineer.
Talk to usSee our workTwo different things we're good at
Many teams blur these. We keep them separate, because they're different skills.
AI-augmented delivery
How we build any software.
Our engineers use AI coding agents for implementation, refactoring, test generation and documentation, with human review at every step.
Applies to every project: mobile, web, cloud, IoT.
AI engineering
What we build for you.
LLM-powered applications, retrieval and semantic search, agent workflows, tool integrations, recommendation systems and AI content moderation.
A service line in its own right.
See AI Implementation ServicesHow a project moves
Step 01
Discover & define
We turn an idea into a scope you can build against: phased delivery, user journeys, business rules, non-functional targets and explicit exclusions. No silent assumptions.
Step 02
Design & architect
We validate the technology approach against your performance, security and cost needs before code is written.
Step 03
Build with AI, review as engineers
Engineers work with AI coding agents inside defined guardrails. Output is reviewed, tested and owned by the engineer who ships it. Two-week sprints, working demo at the end of each.
Step 04
Verify & secure
Automated and manual testing, code review, security checks and integration validation before anything reaches UAT.
Step 05
Release & operate
CI/CD, controlled releases, monitoring and observability, with rollback where applicable.
Governance: the part that matters most
AI makes engineers faster. It also makes it easier to trust output that hasn't earned it. We design our process around that risk.
Related readingAI Coding Tools Work Better Than Expected. But They Quietly Change How We Trust.Human accountability. AI suggests; engineers decide. Every change is reviewed before merge.
Your policies come first. Which AI tools may touch your code is your decision. We work within your approved tools, or without AI tools entirely if required.
Data and IP protection. Client code and data are only used with tools and settings approved for the engagement. No client data in unapproved services.
Security by default. Our security and penetration-testing practice informs how we review AI-generated code.
EU-ready. We work with GDPR and NIS2 requirements, and help clients prepare for the EU AI Act.
See GDPR & NIS2 ComplianceWhat we don't claim
- No “10× productivity” promises. Gains depend on the codebase, the team and the problem.
- No autonomous delivery. Agents assist; engineers own.
- No AI expertise listed for anyone who hasn't demonstrated it.
Ways to work with us
Project delivery
We scope and deliver an agreed outcome end to end.
Best for: new products, defined platforms.
CYBORG-supervised engineering
Our engineers or a small team, with CYBORG technical oversight, reviews and reporting.
Best for: ongoing roadmaps, scaling capacity without losing quality.
Dedicated engineers
Engineers who join your team and work within your processes and direction.
Best for: teams with strong in-house leadership.
Built this way
Secure by Design: AI Transcripts Platform
GDPR-compliant, human-in-the-loop, pen-tested before onboarding.
View case studyHave something to build, or a team to strengthen?
Tell us what you're working on. We'll tell you honestly how we'd approach it.
Let's Talk