Talking Computers

Roadmap & Position in Autonomous Organizations

Builds TC-1, a proactive AI coworker paired with every employee.

Company Overview

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.

What They're Building

The company's public product roadmap & what they're committed to building.

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.

Latest Intelligence

Zeitgeist tracks private signals to determine where the company is heading strategically.

Every Employee Gets A Persistent AI Coworker

May 13, 2026

Confidence:

Medium

New Intel: Talking Computers is building TC-1, a persistent AI coworker paired with every employee inside Facility. The bet is that companies move from shared assistants to agent workforces embedded across Slack, Teams, and email.

Founder and Key Execs

Zayaan Mulla, Co-Founder

Co-Founder

Parsa Bahrami, Co-Founder

Co-Founder

Founder Force Multiplier

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.

Funding History

2024 | Zayaan Mulla and Parsa Bahrami co-found Talking Computers.
2025 | Launches TC-1 agent and Facility platform demos.
2026 | Accepted into Y Combinator Winter 2026 batch.

Competitors

AI Agent Platforms

Cognition (Devin), Adept AI, MultiOn, Lindy.ai.

Enterprise AI Assistants

Microsoft Copilot, Google Duet AI, Glean.

Autonomous Workflow Tools

AutoGen (Microsoft), CrewAI, LangChain Agents.

RPA + AI Hybrids

UiPath (with AI), Automation Anywhere.

Talking Computers

's Moat:

Low-level GPU expertise (cuDNN, TensorRT, Rust, ex-Modular) is rare and directly relevant to building efficient agent inference. Persistent, proactive AI coworkers communicating through Slack, Teams, and email is ambitious but architecturally different from task-specific agents. University of Waterloo CS pipeline for talent.

How They're Leveraging AI

Agentic Autonomous Task Execution

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.

Multi-Agent Orchestration & Collaboration

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.

Real-Time Multi-Modal AI Synthesis

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.

AI Use Overview:

Using agentic autonomous task execution, multi-agent orchestration and collaboration, and real-time multi-modal AI synthesis.

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