Context.ai is an AI-native productivity and automation platform designed to act as a unified workspace where users can create, analyze, and automate work across documents, spreadsheets, presentations, and business workflows.

The platform is built around the idea that modern knowledge work is fragmented across many tools. Context.ai solves this by connecting an organization’s data sources, applications, and internal systems into a single AI-powered environment where agents can operate with full context.

Instead of treating AI as a standalone chat interface, Context embeds AI agents directly into work surfaces such as docs, slides, sheets, and workflows. These agents can generate outputs, edit existing content, run multi-step tasks, and automate repetitive business operations while maintaining consistency with organizational data, style, and rules.

A key part of the system is its “context layer,” which allows the AI to maintain state across tools and understand company-specific knowledge such as policies, datasets, and operational procedures. This enables more accurate, structured, and enterprise-aligned outputs compared to generic AI tools.

The platform also emphasizes enterprise readiness, offering integrations with multiple external systems, role-based access control, auditability, and deployment options such as private cloud or isolated environments. This makes it suitable for organizations that need both automation and compliance in AI-driven workflows.

Context.ai is positioned as an “AI office suite,” aiming to replace or augment traditional productivity tools by turning them into AI-driven systems that can execute end-to-end work rather than just assist with it.

Key features include:

• AI-powered creation of documents, slides, spreadsheets, and workflows
• Unified context layer connecting multiple enterprise tools and data sources
• Multi-step AI agents that automate business and operational tasks
• Integration with external systems and enterprise software ecosystems
• Role-based permissions, audit logs, and enterprise security controls

Common use cases include:

• Automating business reporting
• Generating presentations from live data
• Building internal workflows
• Analyzing structured and unstructured data
• Reducing manual work across knowledge-heavy teams

Context.ai was founded in 2023 by Henry Scott-Green and Alex Gamble and is backed by major venture investors. The company focuses on building AI systems that turn organizational knowledge into actionable automation across everyday work tools.