Where Engineering Meets Business
We build robust engineering solutions with business insights.
Every solution we build is tied directly to a business outcome, not a benchmark.
Most AI projects fail between pilot and production. Our engineers question, test, and iterate until what ships delivers measurable results.
Engineering That Creates Competitive Advantage
Solid Engineering
Without a solid foundation, innovations like AI only amplify the chaos. That’s why we build clean, scalable, and maintainable solutions.
Purposeful Innovation
We don’t chase hype: AI or any new tech we adopt has to prove its value against a real business problem before it earns its place.
Business-Driven
Business value drives every build: tech aligns with strategy, and teams embrace the “why” before the “how.”
AI Accelerates, Experience Leads
AI-powered team
Our teams leverage AI to accelerate delivery and sharpen thinking, but it’s senior expertise that shapes the outcome.
AGENTS BUILT TO DELIVER
We build AI agents tailored to your processes. From scoping to deployment, each one is engineered for production conditions and measured against real business outcomes.
Integrated into your reality
We understand how your business operates and embed as part of your team: sharing solutions, knowledge, and goals to move forward together.
Measurable impact
AI accelerates; experience leads. That’s how we ensure technology drives measurable outcomes and lasting business impact.
Our Ecosystem
People Behind the Code
A team of senior engineers and strategic thinkers translates complex business challenges into simple, high-impact AI-engineering that drives and iterate real growth.
Backed by Afianza Group
The backing of an established group means clients work with a technology partner that has the infrastructure, stability and resources to commit long-term. That makes us the best alliance for growing your business.
Straight From Our Radar
The Claude Code team setup we built so it actually works
We’d spent months learning to work with Claude Code individually, and the team had arrived, without any coordination, at the same conclusions. The next challenge was of a different order: building a Claude Code team setup that worked consistently across the whole organisation, instead of every session starting from scratch. The moment that became obvious […]
AI frontend testing: a complete workflow, not just code generation
If you have ever asked an AI agent to write a test for you and ended up watching it run, fail and then tweak the test until it passed —even when the implementation was wrong— this article is for you. AI already writes a meaningful share of the frontend code that goes through my hands. […]
What You Discover When an Engineering Team Documents Their Claude Code Usage Independently
A few weeks ago I asked each person on Orbitant’s engineering team to independently document their learnings with Claude Code: what worked, what didn’t, which configurations they’d adopted, and what they’d discovered on their own. No prior meeting, no sharing answers before responding — just their own notes and weeks of real usage on production […]
