
Technology
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Autonomous Organizations
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YC W26
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Valuation:
Undisclosed

Last Updated:
March 24, 2026

Applied AI research lab building TC-1, a general AI agent with "Ambient Intelligence," and Facility, a digital workplace platform that pairs every employee with a persistent, proactive AI coworker to enable fully Autonomous Organizations.
Talking Computers has publicly announced TC-1, a general AI agent described as a self-improving, proactive coworker indistinguishable from a remote human employee, and Facility, an enterprise digital workplace where each employee is paired with their own TC-1 agent. Facility creates an intranet of interconnected AI agents that communicate and collaborate via Slack, Teams, and email. Early adopters are deploying a 24/7 AI workforce inside their businesses.
GitHub activity and related open-source repos (TalkingMachines) suggest active R&D in real-time audio-to-video synthesis and multi-modal agent capabilities. The absence of public job postings and funding announcements indicates a stealth-mode, deep R&D phase with hiring likely through founder networks. The founding team includes former math and informatics olympiad competitors and post-training + agents researchers who worked at top startups. The persistent memory architecture and "Ambient Intelligence" framing suggest a push toward always-on, context-aware agents that anticipate tasks before being asked.
TC-1 acts as a persistent, self-improving AI coworker that autonomously executes complex, long-horizon tasks across Slack, Teams, email, and web—functioning indistinguishably from a remote human employee.
It's like hiring a tireless remote employee who never forgets anything, works across every app you use, and gets better at their job every single day without being asked.
It's like having a new hire who memorizes the entire company handbook on day one and never needs to be told the same thing twice.
Facility creates an intranet of interconnected TC-1 agents—one per employee—that autonomously communicate, delegate, and collaborate with each other and humans to complete cross-functional projects without manual coordination.
It's like giving every person in your company their own AI chief of staff, and all those chiefs of staff talk to each other behind the scenes to get things done before you even ask.
It's like an office where everyone's executive assistant already talked to everyone else's executive assistant before the meeting even started—so the meeting actually accomplishes something.
Real-time multi-modal AI synthesis (audio-to-video, text-to-action) enables TC-1 agents to process and generate rich media outputs—voice, video, and interactive content—for more natural, human-like communication within autonomous workflows.
It's like your AI coworker can not only read and write emails but also hop on a video call, explain a chart out loud, and generate a presentation—all in real time.
It's like upgrading your AI from a pen pal to a coworker who shows up on Zoom with a face, a voice, and a slide deck they made while you were getting coffee.
Zayaan Mulla's rare combination of low-level GPU/parallel computing expertise (cuDNN, TensorRT, Rust, ex-Modular, University of Waterloo CS, Canadian Senior Math Contest Honour Roll top 1%) with high-level agentic AI product vision allows Talking Computers to build performant, scalable AI agents from the silicon up, a technical moat most AI-wrapper startups cannot replicate.