We embed senior engineers who use AI as a force multiplier. Faster output, and a team that's more capable when the engagement ends.
Engineering the Future for High-Growth Startups and Enterprises
Overview
Hiring is too slow, and traditional outsourcing gives you extra hands without extra speed. We embed senior engineers who use AI as a force multiplier inside your team - your standups, your tools, your stack. Output goes up, and the gain compounds because your own engineers learn how we work.
Senior only - AI amplifies judgment, it doesn't replace it. We've embedded into ASX-listed software companies and high-growth startups alike, shipping real payment infrastructure across iOS, Android, and web, and we leave your team more capable than we found it.
case studies
Explore our case studies showcasing scalable architectures, AI-driven solutions, and modern engineering practices.
Payments platform
Supplying specialist cloud, DevOps and engineering capacity on demand. The most recent engagement consolidated a split delivery toolchain onto one CI/CD standard and introduced GitOps with ArgoCD across the estate.
Payments platform
Replacing a legacy client portal end to end - new architecture, new underlying services, and a fully custom design system on React Aria, TypeScript and TanStack, built inside the client team and now in production.
Workplace technology startup
Embedding specialist fintech and mobile engineers into a product team to deliver two complex payment platform integrations - real-time domestic disbursement and global account infrastructure - across iOS, Android and web simultaneously.
Enterprise HR software platform
Embedding specialist frontend engineers and system-level designers directly into an enterprise product team - supplying the design system expertise to build, ship, and drive adoption across a large engineering organisation, then handing it over cleanly.
Productive in your stack and your standups within a week or two.
Measurably faster output, not just an extra pair of hands.
Knowledge transfer is a deliverable, so capability stays when we leave.
Matched to the work, not whoever's on the bench.
Every engineer can operate independently from day one.
Dedicated, sprint-based, or surge capacity for a launch or deadline.
Deliberately boring. Nothing here your next hire won't already know - the product should never be hostage to us.
Chosen for what it has to survive - throughput, audit, and the team maintaining it after we leave.
We pick per product, not per shop. Cross-platform where it holds up, native where it doesn't.
FAQs
Our engineers use AI coding assistants, automated testing tools, AI-powered code review, and intelligent documentation generation as part of their daily workflow. This isn't experimental - it's how they ship. The result is measurably faster output and higher-quality code.
Yes - knowledge transfer is a core deliverable, not a nice-to-have. Our engineers work alongside your team and share the AI tools, workflows, and practices they use daily. When the engagement ends, your team is more capable than when it started.
Most engineers are embedded and productive within 1–2 weeks. They join your standups, use your tools, follow your processes, and adapt to your stack. We don't impose our way of working.
Senior only. AI augmentation amplifies senior judgment and experience - it doesn't replace it. Every engineer we embed has significant production experience and can operate independently from day one.
Minimum three months, typically 6–12 months. Engineers join your team full-time - your standups, your Slack, your deploy pipeline. We maintain regular check-ins with an engagement lead to ensure quality and alignment.
We track velocity metrics, cycle time, and throughput before and during the engagement. Clients typically see 2–3x output compared to traditional augmentation - concrete evidence of the AI force multiplier effect, not just a marketing claim.