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Hyper

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The Self-Driving Company Brain

Spring 2026Founded 20262 peopleSan Francisco, CA, USA
AI insightcan contain mistakes
Company Knowledge AgentSaaSAI-first software teams and engineersMedium competition
Moat
Continuous learning from team activity and deep integration with dev tools create defensibility.
Key risk
Privacy and data residency concerns around continuous workspace monitoring could limit adoption.
Why now
AI-first teams need shared, real-time knowledge and context to amplify agent effectiveness.
Competitors
Notion, Linear, GitHub Copilot enterprise

About

Hyper is the company brain that "just works" for AI-first teams. Hyper silently learns from every update in every tool your team uses -- Notion docs, Claude Code questions, emails, LinkedIn DMs, Cursor sessions, etc. Our agent-driven algorithms update and clean all that information into real-time knowledge that is shared across your entire team. That knowledge is quietly infused into all your existing AI tools on every chat turn, so your whole company gets smarter permanently.

Founders Β· 2

Shalin Shah
Shalin ShahFounder
Berkeley

Passionate about the marriage of deep design and engineering to create beautiful products. Cofounder of Hyper, previously autonomy lead @MaticRobots, and UC Berkeley EE/CS.

Kanyes Thaker
Kanyes ThakerFounder
Berkeley

I believe in building exceptional products. Co-founder @ Hyper. Prev FDE at Snorkel AI and research lead at Matic Robots. Berkeley CS + Mathematics. Happy to chat: kt@heyhyper.ai

Launch

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

Hyper learns your whole company to supercharge your AIs

Hyper builds a centralized β€œbrain” of your company by reading and updating data from documents, calendars, emails, Slack, GitHub, and more, then plugs this up-to-date knowledge into the AI tools you use to improve consistency and context in AI workflows.

B2BProductivityArtificial IntelligenceProductivityTeam Collaboration

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