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Hyper, the self driving company brain

Hyper: The self-driving company brain

What is Hyper, the self driving company brain?

Hyper works as a background agent that gathers context from your team's scattered tools (email, documents, Slack, code repositories, CRM, meetings) and feeds that information into the AI assistants you already use, like Claude, Cursor, Codex, or ChatGPT. Instead of manually re-explaining your project context to each AI tool, Hyper automatically provides the relevant background information. This means your AI tools start conversations already informed about your codebase, recent decisions, and team status. The value proposition is straightforward: less context-switching overhead and more effective AI assistance. Rather than switching between tools or repeatedly briefing AI assistants, your team gets AI that already knows what you're working on. It's particularly useful for development teams where context about code, architecture, and project history directly affects the quality of AI suggestions. Hyper uses a freemium model. The free tier lets you connect a limited set of integrations immediately. Paid tiers open up additional tool integrations, team collaboration features, and more advanced context synthesis.

Key features

Automatic context gathering

Aggregates information from email, documents, Slack, code, CRM, and meetings

Background injection into AI tools

Feeds relevant context to Claude, Cursor, Codex, ChatGPT, and similar assistants

Continuous synchronisation

Updates knowledge base as team information changes

Minimal prompting required

Designed to reduce manual context provision

Multi-tool connectivity

Bridges enterprise communication and development platforms

Pros & cons

Advantages

  • Reduces repetitive context provision across different AI tools
  • Improves AI-assisted development by providing automatic background knowledge
  • Works with tools you already use rather than replacing them
  • Quick to start with the free tier
  • Centralises information that's currently scattered across separate platforms

Limitations

  • Limited by which integrations are available for your specific tool stack
  • Requires centralising sensitive team data with a third-party service
  • Synthesis quality depends on the service's ability to identify relevant context
  • Initial integration setup is still required despite 'no setup' marketing
  • Risk of overwhelming AI tools with irrelevant or outdated information

Use cases

Development teams using AI pair programming with Cursor or similar tools

Distributed teams needing better information access across fragmented communication

Product and engineering teams coordinating across Slack, email, and code

Speeding up technical decision-making with AI that understands project history

Reducing context-switching costs for teams working across multiple platforms

Ready to try Hyper, the self driving company brain?

Pricing

Free

Free

Access to core context synthesis; limited number of tool integrations; basic support

Pro

Contact for pricing

Unlimited integrations; advanced context synthesis; team collaboration features; priority support

Get started with Hyper, the self driving company brain

Click through to Hyper, the self driving company brain and start using it now.

  • Always free
  • No credit card