Context

Tagline Brand's website · 2026-10-04

Context allows AI agents to run on the user's infrastructure (hosted, VPC, on-prem, air-gapped) with enterprise-grade authorization and data ownership. It supports any AI model (Claude, GPT, Gemini, Kimi, open weights) and agent framework, provides a complete working environment for humans and agents to collaborate, and offers continuous improvement through built-in evaluation suites and custom model training, leading to faster, cheaper, and better outcomes compared to vendor-locked solutions.

Description Brand's website · 2026-10-04

Context is a platform that enables organizations to build, deploy, and improve AI agents on their own infrastructure and under their control. It provides a unified foundation for context, execution, identity, and evaluations, offering modules like Workspace, Engine, Unify, and Evals for production-grade AI agent workflows.

Core capabilities Brand's website · 2026-10-04

• A platform for building
• deploying
• and improving AI agents
• comprising modules like Workspace (plain-English workflows
• full audit)
• Engine (identity
• 800+ connectors
• flexible deployment)
• Unify (firm's knowledge
• agent learning
• permissions)
• and Evals (rubrics
• accepted outputs
• routing improvement).

Pricing Brand's website · 2026-10-04

Costs are metered in CCUs (Context Compute Units), decoupled from any specific model vendor, with potential for custom models trained on internal work to reduce costs over time.

Target industry Brand's website · 2026-10-04

Enterprises and exceptional teams looking to build and deploy production-grade AI agents, including those in finance and manufacturing, seeking to optimize operations and automate complex tasks.

Competitors Brand's website · 2026-10-04

• Codex
• Cowork
• Harvey
• Hebbia
• Rogo