Hyper

What is Hyper?

Hyper is a company knowledge system that learns from a business’s Docs, Slack, Email, and Calendar, then connects that context to an AI workflow. Its purpose is to give AI access to the working knowledge inside a company so it can answer and act with more context than a standalone model.

The product is positioned as “the self-driving company brain,” which suggests it centralizes organizational context and makes it usable inside connected AI tools. Based on the source, Hyper is aimed at helping AI move from having little context to drawing on ongoing company information.

Key Features

• Learns from Docs, Slack, Email, and Calendar, bringing together context from common workplace tools.
• Feeds that company knowledge into AI so responses and actions can use organizational context rather than generic prompts alone.
• Functions as a shared company brain, meaning the knowledge layer is intended to reflect team activity and documentation over time.
• Connects to existing AI workflows, implying it sits behind or alongside other AI tools rather than replacing them.

How to Use Hyper

A typical workflow would start by connecting the company sources Hyper is designed to learn from, such as documents, Slack, email, and calendar data. Once those sources are available, the system can be used as the context layer for AI workflows so the AI has access to current company information when responding or working.

Use Cases

• A team that wants AI answers grounded in internal docs instead of generic model knowledge.
• Operations or admin workflows where recent Slack threads, email context, and calendar activity matter for understanding a request.
• A company building internal AI assistants that need shared organizational context to be useful.
• Teams that want a single context layer across several work tools rather than managing information in separate places.

FAQ

• What sources does Hyper learn from? The source explicitly mentions Docs, Slack, Email, and Calendar.
• What does Hyper do with that information? It turns those sources into a company knowledge layer that can plug into AI.
• Is Hyper the AI itself? The description suggests Hyper is the context layer or company brain that sits behind AI, not the model itself.
• Does the source mention pricing or setup details? No. Those details are not provided in the source content.

Alternatives

• Traditional knowledge bases such as internal wikis or document repositories, which store information but do not necessarily feed it directly into AI workflows.
• AI assistants with retrieval features, which can answer questions from connected content but may not be positioned as a company-wide knowledge layer.
• Workplace automation platforms, which connect apps and workflows but focus more on task automation than on building a persistent company brain.
• Search-oriented enterprise knowledge tools, which emphasize finding information across company systems rather than serving as context for AI generation.