Problem

Hyper addresses the growing gap between what a company knows and what its AI agents can reliably use. Company knowledge is scattered across documents, calendars, email, Slack, GitHub, and conversations, while teams must repeatedly correct agents, re-explain context, and keep people aligned. As AI reduces the cost of execution, this coordination and context problem becomes more economically important: agents can perform more work, but only if they have relevant, current, company-specific information. The core use case is enabling agents to execute tasks such as outbound, email drafting, market research, experiment tracking, and long-running coding workflows without constant babysitting or follow-up.

Product / Service

Hyper is a shared, continuously maintained company brain that connects to a team’s information sources, extracts and synthesizes important knowledge, removes duplication and conflicts, and feeds the resulting context into the AI tools employees already use. It supports connectors such as Gmail, Notion, Drive, GitHub, LinkedIn, and Granola, and works with Claude, Codex, ChatGPT, Cursor, and OpenClaw. The product is designed to operate quietly through integrations and hooks rather than forcing users to manage a separate knowledge interface, making agents more capable immediately while requiring little setup; Hyper says teams can be configured in under 20 minutes. Its commercial model is usage-based, charging for tokens used to synthesize source information and generate answers, with a three-day unlimited trial and custom enterprise installations.

Market

Hyper competes in the emerging company-brain and AI-agent context layer, adjacent to enterprise search, knowledge management, and AI memory products. It explicitly distinguishes itself from Glean, Mem0, and Letta by positioning memory as only one component of a broader system of agents and automations that uses everything a company knows. The product is aimed at companies adopting multiple AI agents and seeking more reliable automation across sales, marketing, support, research, and software development.

Hyper appears to be an early but commercial-stage YC Spring 2026 startup rather than pre-revenue. Its YC company profile reported that, within 12 days of launch, it had reached the top five or top 12 on Hacker News and Product Hunt, onboarded more than 50 teams, grown from zero to $1,000 in MRR, and begun scoping paid design pilots with companies including Razorpay and Snorkel AI. These figures are an early traction snapshot, not evidence of mature scale, but they indicate initial customer adoption and paid usage.