Unifies work across enterprise documents, spreadsheets, presentations, and research tasks using AI.
Context AI is an AI workspace for enterprises. It combines work across documents, spreadsheets, and presentations. It also handles research tasks. The tool integrates with over 200 business apps. It helps automate complex tasks. This includes generating documents, creating presentations, and building spreadsheets. It aims to save time and make workflows faster.
200+ Native Connectors.
Context AI links to over 200 business tools. This includes Microsoft 365, Google Workspace, Slack, and Salesforce. It connects easily without extra setup.
Agent Mode.
This feature helps with complicated, multi-step jobs. It shows how it makes decisions. You can see the steps it takes.
Document Intelligence.
It reads documents and pulls out important information. It also checks facts and provides sources. This means it creates trustworthy content.
Real-Time Collaboration.
Teams can work together easily. It has sharing options, comments, and saves different versions of work. This makes teamwork smooth.
Enterprise Deployment.
This means big companies can use it securely. It offers special setup for one company. It also meets security rules like SOC2 and GDPR.
Style Learning.
The AI learns your company's writing style. It picks up your tone and how you arrange things. This makes sure its work looks like your team made it.
Context AI builds full systems like reports and spreadsheets right from your live data. It connects with over 200 tools, while ChatGPT provides standalone summaries.
Yes, Context AI offers strong security for businesses. It has SOC2 and GDPR certifications. It also provides single-tenant or VPC deployment options with full access control.
Yes, Context AI connects with over 200 business apps. This includes Slack, Google Workspace, Microsoft 365, and Salesforce. It uses both native and API connections.
Context AI is designed to be easy to use. It has an intuitive interface with keyboard shortcuts and drag-and-drop features. Teams usually get productive within 2-3 weeks.
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