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Talking Computers

Active

AI for AI Infrastructure

Winter 2026Founded 20252 people
AI insightcan contain mistakes
GPU Infrastructure OptimizationServicesML teams, AI companies, GPU-intensive workloadsMedium competition
Moat
Multi-week experiment orchestration; kernel-level optimization expertise; proprietary benchmark suite; customer success data.
Key risk
Cloud providers (AWS, GCP) may build competing services; commoditization of GPU orchestration; customer concentration.
Why now
GPU scarcity and cost pressure; training/inference optimization critical for economics; AI infrastructure standardization.
Competitors
Crusoe Energy, Latitude, Lambda Labs, Determined AI, Ray (Anyscale)

About

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.

Founders Β· 2

Zayaan Mulla
Zayaan MullaFounder
Waterloo

Making computers talk to each other (and with humans) to complete work. Prev CS @ Waterloo, Inference @ Modular

Parsa Bahraminejad
Parsa BahraminejadFounder

Making computers talk. Previously CS & CO @ UWaterloo, Eng @ TextQL.

Launch

Launched on Y Combinator Β· Mar 2026
View launch post β†—

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 β€œStandard Agent Labs”, β€œAnalytical Engine”, β€œSpeedtrain”, β€œAlso”

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