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Engineering and advice, accelerated by AI.

Four practices that share one way of working: AI speeds up the work, and experienced people decide, verify and own the result.

PRACTICE 01

Software Engineering

We design, build and run production software. Our engineers use AI agents for scaffolding, review, testing and documentation, then put their own judgment on architecture, security and quality. You get senior-level output at a much faster pace.

Explore Software Engineering

Capabilities

  • Web and mobile product development
  • Backend platforms, APIs and microservices
  • LLM-powered features: RAG, agents, tool use, evaluation
  • Legacy modernisation and AI-assisted code migration
  • Cloud infrastructure, CI/CD and observability
  • Automated testing and AI-assisted code review
PRACTICE 02

Robotics Engineering

From sensor acquisition to SLAM, perception and motion planning, we build the software that makes robots useful. AI speeds up simulation, data labelling and controller tuning, and every system is validated on real hardware.

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Capabilities

  • ROS 2 architecture and driver integration
  • LiDAR, stereo-camera and GNSS sensor fusion
  • SLAM, localisation and georeferenced mapping
  • Computer vision: detection, segmentation, tracking
  • Pick-and-place, manipulation and motion planning
  • Simulation, digital twins and synthetic data
PRACTICE 03

AI Strategy & Consulting

We help leadership teams decide where AI creates value, what to build or buy, and how to govern it. Our consultants work AI-native, so our advice comes from daily practice rather than theory.

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Capabilities

  • AI opportunity assessment and use-case prioritisation
  • Build vs. buy and vendor/model selection
  • AI governance, risk and responsible-use policy
  • Data readiness and platform strategy
  • ROI modelling and business cases
  • Proof-of-concept to production roadmaps
PRACTICE 04

AI Enablement & Training

Adopting AI is mostly about people and process. We train your teams, set up their tools, and redesign workflows so AI becomes part of the daily work instead of an experiment on the side.

Explore AI Enablement & Training

Capabilities

  • Hands-on AI workshops for engineers and business teams
  • AI coding-assistant rollout and best practices
  • Prompt, agent and workflow design
  • Internal AI tool and copilot deployment
  • Measuring adoption and productivity impact
  • AI usage policies people actually follow

Ready to build with an AI-native team?

Tell us what you are working on. We reply within one business day with next steps.