Context

Overview

Context is an AI-native office suite built to streamline the creation of documents, presentations, spreadsheets and more. By connecting to your existing data sources, business tools and brand assets, Context produces content that is both accurate and on-brand. Its agent-based workspace aims to shift repetitive work to AI so teams can focus on strategy and decision-making.

Key Features

• AI-generated documents, presentations and spreadsheets: Produce professional reports, slide decks and data models from a natural-language prompt.
• Integration with user data and tools: Connect to 300+ services—such as Salesforce, Slack and Snowflake—to ground outputs in real-time business information.
• Customizable output to match brand style: Upload logos, colors, typography and tone guidelines; the suite automatically applies them to every deliverable.
• Real-time collaboration: Multiple teammates can co-edit files simultaneously in the browser-based editors.
• Workflow automation: Chain tasks—research, drafting, formatting and distribution—into reusable workflows that run with minimal human input.
• Context Engine with long-context processing: Proprietary engine capable of handling contexts exceeding 50 million tokens without performance degradation.
• Local deployment capabilities: Offers secure, local-first infrastructure through partnership with Qualcomm for on-device processing.

How It Works

After linking data sources and defining brand preferences, users describe the desired deliverable in chat. Context agents retrieve relevant information, craft a plan, generate the asset and present an editable draft. All steps—including research traces—remain visible for audit and refinement. The platform’s Context Engine enables unprecedented long-context understanding, dynamically traversing organizational knowledge bases to uncover deep connections.

Use Cases

• Business teams generating reports and decks: Compile quarterly reviews or market analyses in minutes using enterprise data integration.
• Professionals automating repetitive office tasks: Draft standard emails, populate forms or update trackers with a single command.
• Start-ups standardizing branded content: Guarantee consistent voice and visuals across investor decks, brochures and blog posts.
• Teams needing rapid document turnaround: Respond to client requests or regulatory inquiries under tight deadlines.
• Enterprise knowledge management: Leverage deep research capabilities across vast internal and external data sources.

Pros \& Cons

Advantages

• Automates manual content creation, raising productivity across knowledge work.
• Maintains brand consistency across every document through automated style learning.
• Connects to a large ecosystem of 300+ enterprise apps and data sources.
• Built-in version control and real-time collaboration reduce workflow friction.
• Industry-leading long-context capabilities with 50+ million token processing.
• Secure deployment options including local processing for compliance requirements.

Disadvantages

• Initial setup—especially data permissions and brand assets—requires significant onboarding time.
• Advanced features can feel overwhelming for users new to AI-native workflows.
• Higher learning curve compared to traditional office suites for complex automation features.
• Dependency on quality data integration for optimal performance.

How Does It Compare?

Pricing and Accessibility

Context offers flexible pricing designed to accommodate different organizational needs:

• Free Tier: 50 credits per month with access to one workspace and up to 10 team members
• Professional Plan: \$20/month for 2,000 credits with unlimited workspaces and team members
• Enterprise Plans: Custom pricing for large organizations requiring advanced security, compliance, and integration features

Security and Compliance

Context maintains enterprise-grade security standards including SOC-2 Type II and ISO 27001 certifications. The platform offers local deployment options through its partnership with Qualcomm, enabling secure, compliant processing for organizations with strict data governance requirements.

Launch and Market Position

Context launched on Product Hunt on July 7, 2025, following its public availability announcement. The company emerged from stealth with \$11 million in seed funding led by Lux Capital and Qualcomm Ventures at a \$70 million valuation. Founded by Joseph Semrai, a Thiel Fellow who left Stanford at age 20, Context represents a new generation of AI-native productivity tools designed for the generative AI era.

Final Thoughts

Context positions itself as the first truly AI-native alternative to legacy office suites, differentiating from existing solutions that retrofit AI as incremental add-ons. Its proprietary Context Engine, extensive integration ecosystem, and automatic brand styling capabilities can significantly accelerate knowledge work for organizations ready to embrace AI-first workflows.

Unlike Microsoft 365 Copilot’s add-on model or Google Workspace’s gradual AI integration, Context rebuilds the office suite entirely around generative AI capabilities. For organizations seeking a comprehensive, agent-driven environment that handles complex context understanding and maintains brand consistency, Context offers a compelling solution that transforms how teams approach document creation, research, and content generation in the modern workplace.

The platform’s backing from leading investors, partnership with Qualcomm for secure deployment, and focus on long-context AI processing position it as a significant player in the rapidly evolving AI productivity landscape of 2025.