Practical AI engineering — not demos, not prototypes. We build ML systems that run in production, on real hardware, at scale.
End-to-end machine learning pipelines. Data ingestion, training infrastructure, model versioning, and deployment automation.
Getting models from notebooks into production. Containerised serving, API design, monitoring, and scaling.
Quantisation and optimisation for running models on CPU hardware. Making AI accessible without GPU infrastructure.
Building complete applications around AI capabilities. From proof of concept through production deployment.
Scalable backend services to support AI workloads. Queue systems, data storage, API layers, and orchestration.
Motion capture retargeting, animation generation, and computer vision pipelines for real-time applications.
Backend services, infrastructure engineering, and code review for a healthcare AI platform.
Open-source tool for AI-optimised animation generation and Mixamo retargeting, running on CPU.
We build AI systems that work in production, not just in notebooks.
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