Technology
Engineering is the group's core discipline.
We build software the way it has to be built to survive production: structured data models, deliberate architecture, and intelligence applied where it demonstrably improves the system.
Capabilities
What we engineer.
AI-assisted systems
Applied intelligence inside product workflows, scoped to where it removes real work.
Automation
Machinery for repetitive, high-risk operational processes.
Software architecture
Systems designed for production conditions from the first commit.
Cloud infrastructure
Kubernetes-native platform engineering and operational tooling.
APIs & integration
Interfaces that let systems compose rather than duplicate.
Data systems
Structured models that make behaviour and operations legible.
Workflow platforms
Operating layers for how organisations actually run their work.
Developer tooling
Infrastructure other engineering teams build on.
Computer vision
Visual understanding applied to production and consumer contexts.
Production technology
Systems built for film, television and audiovisual operations.
Intelligent agents
Agent systems with the control plane required to run them safely.
Infrastructure platforms
Registry, gateway and operator patterns for AI-era workloads.
Technology spectrum
Consumer → Enterprise → Infrastructure.
The portfolio deliberately spans the stack: products people use directly, systems organisations run on, and infrastructure other systems depend on.
Consumer
Esihle
Intelligence in the hands of individuals.
Enterprise
ShootSlate · MoveSpan
Systems organisations operate on.
Infrastructure
Kavrynt
Substrate for AI-era workloads.
Evidence
Capability demonstrated in the portfolio.
Described at the level appropriate for a public site. Proprietary architecture is not published.
ShootSlate
A production operations platform carrying scheduling, documents, collaboration and AI-assisted workflow for film and television teams.
Kavrynt
Kubernetes-native MCP operations and control-plane infrastructure for AI agent systems in production.
Sports video analytics work
Applied computer vision and analysis work within the group's engineering practice.