01 // Who We Are
Applied research unit combining top-tier academic rigour with experienced founder velocity.
We are machine learning engineers and researchers from Google DeepMind, Meta FAIR, and AWS. We combine fundamental research expertise (2,000+ citations) with the operational experience of exited founders (Acq. 2025) to bridge the gap between state-of-the-art models and production ROI.
02 // What We Do
Agentic Workflows & Architecture
Moving beyond simple chatbots. We architect and deploy end-to-endautonomous agentic systems and robust LLM powered pipelines designed for complex, multi-step enterprise workflows.
AI Strategy & Unit Economics
High-performance models are useless if they bankrupt the company. We analyse and optimise your inference stack to reduce latency and cloud spend, ensuring your AI strategy is mathematically and financially viable at scale.
Technical Due Diligence
For Investors: We audit the code, the data strategy, and the technical team. We validate the sniff test with objectivity, separating defensible IP from generic API wrappers before you deploy capital.
03 // Track Record
"Our engineering philosophy is rooted in technical rigour and economic pragmatism. We don't just build models; we architect sustainable AI systems that drive real business value."
Get in touch