Alike logo

Alike

Alike is in a16z speedrun SR006. Based in San Francisco, California, United States of America. Team of 4, founded in 2025.

  • Future of Work
  • AI Agents

Facts

Location
San Francisco, California, United States of America
Team size
4
Founded
2025

About Alike

GPAgent's own fund-neutral profile, written from public information. Updated Sep 25, 2026.

Summary

Alike is a San Francisco-based startup, founded in 2025, that builds coordination infrastructure for teams running multiple AI agents simultaneously. As autonomous agents become capable of producing work at machine speed, the company argues that existing collaboration tools — designed around human communication cadences — create bottlenecks and errors when applied to agent workflows. Alike provides a shared coordination layer that lets agents exchange context, follow organizational rules, and maintain a live picture of ongoing work without human-mediated handoffs. The platform sits beneath tools teams already use, such as Claude Code, Codex, Cursor, Slack, Linear, and GitHub, rather than replacing them. The team of four, with backgrounds spanning San Francisco and UK institutions, appears to be targeting early-adopter engineering and product teams that are already running agent-heavy workflows.

Business model

Alike appears to operate on a SaaS model, selling access to its agent coordination infrastructure to companies running multi-agent workflows. Pricing specifics are not yet public, but the design-partner and waitlist structure suggests an early enterprise or team-tier approach as the product moves toward general availability.

Go-to-market

Alike's initial customers appear to be technology-forward companies that have already committed to agent-powered workflows and feel the coordination pain directly. Growth to date has come largely through word of mouth, with around 100 companies on the waitlist and roughly 20 design partners already signed — spanning sectors such as energy, gaming infrastructure, and market research. The buying motion is likely a bottom-up, practitioner-led adoption, where power users of AI coding and automation tools pull the product in, with the coordination and compliance value proposition serving as a hook for broader organizational adoption over time.

Founders (3)

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