About
Hyper builds a shared company brain that connects to workplace information and gives AI agents the context needed to work more effectively. It primarily targets small, AI-forward teams, founders, investors, and consultants; its differentiator is silently maintaining and updating organizational memory across existing tools rather than requiring users to adopt another standalone knowledge system.
Market
Hyper competes in the enterprise AI knowledge-management, agent memory, and workflow-automation market, positioning itself as a self-driving company brain for AI employees. Unlike standalone memory products, Hyper emphasizes an invisible, continuously maintained shared brain that feeds existing AI agents and performs context-rich automations across company tools.
Hyper is aimed at teams and growing companies that have fragmented knowledge across email, chat, documents, calendars, and business tools, with especially strong value for larger cross-functional organizations. Likely buyers include founders, engineering or operations leaders, and teams deploying internal AI agents and workflow automation.
At a Glance
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.
Founders & Leadership
Recent News
Hyper co-founders Shalin and Kanyes introduced the company as a shared “company brain” that ingests company information from Docs, Slack, email, calendars, and other tools to improve AI agents and automations. The post also described Hyper’s knowledge-graph and semantic-search approach.
Hyper announced on its official X account that the product was available to download directly from the company website.
Y Combinator featured Hyper’s launch and described a product that reads company documents, calendars, email, Slack, GitHub activity, and conversations, then synthesizes and deduplicates that information into an up-to-date company brain for AI workflows.
Active Roles
0No active roles right now.
Get notified when they postBusiness Model
Hyper uses usage-based pricing tied to tokens consumed by a team, offered through per-seat monthly plans with capped token allowances. It also offers a three-day unlimited trial and custom enterprise plans with tailored limits, deployment, support, and contract terms.