We ideate, build, and launch AI products in-house — each built with defensibility competitors can't copy.
About Us
Machine learning is no longer defined by models alone. The real constraint — and the real opportunity — is compute.
As demand for GPU power accelerates, compute has become the underlying force shaping AI economics, product design, and scalability. Tokens, inference, and usage-based pricing are not technical footnotes; they are the mechanisms that determine what is viable, sustainable, and transformative.
We build with this reality in mind.
Beyond model capability, we focus on how AI systems are structured, deployed, and experienced — especially in environments where cost, performance, and usability collide. Our perspective is grounded in the belief that the next generation of intelligent tools will be defined not just by smarter models, but by smarter compute orchestration.
Because intelligence without infrastructure is fragile.
Our Focus
Architectures shaped by the economic and performance realities of modern AI workloads.
Reducing exposure to unstable cost structures and inefficient inference dependencies.
Translating complex ML capabilities into workflows usable by non-technical professionals.
Connecting local machines, cloud infrastructure, and emerging external compute devices.
Designing for a landscape where personal external compute becomes a core layer of AI interaction.
The future of AI will not be decided solely by larger models or better algorithms.
It will be shaped by how intelligently we harness and distribute compute.
That is the problem space we are committed to exploring.
The Team
25+ years combined experience at Amazon, Warner Bros, AT&T, and JW Player. 15+ years of AI development. Deep domain expertise in media, audio, and streaming.

