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AI for AI Infrastructure
We deploy fleets of AI Infrastructure Engineers to collaborate over week-long time horizons, run 100s of experiments in parallel, and learn from them to optimize your training/ inference infrastructure to your workloads. We've partnered with companies to speed up their GPU kernels to 6x SOTA, and improved the latency of voice models to twice the competition.
Making computers talk to each other (and with humans) to complete work. Prev CS @ Waterloo, Inference @ Modular
Making computers talk. Previously CS & CO @ UWaterloo, Eng @ TextQL.
Building Facility, The Workplace for AI
Talking Computers launches Facility, a platform that provides each employee with an AI computer (TC-1) to handle tasks across web and systems, enabling AI-to-AI and human–AI collaboration. Facility hosts a company-wide network of AI computers to operate as a 24/7 AI workforce and offers demos.
Formerly “Standard Agent Labs”, “Analytical Engine”, “Speedtrain”, “Also” · why startups rename →
Enabling Model-Hardware Co-Design at Scale
Infrastructure for AI labs to focus on research.
