Context
Context is an enterprise platform to build, deploy, and continuously improve AI agents and workflows — a unified execution layer that runs on your infrastructure, connects to institutional data, and enforces enterprise permissioning and evaluation.
Context is ai office suite software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.
Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.
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Quick Overview
Best for: AI Agents
What it does
AI Office Suite software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Agents
Pricing snapshot
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Next step
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Context
Context is an enterprise-grade platform for building, deploying, and improving AI agents and production workflows. It provides a unified environment (Workspace, Engine, Unify, Evals) where teams and agents work together on the same documents, files, and runbooks, with integrated evaluations and rubrics to validate outputs before they ship. The platform emphasizes enterprise controls — identity through your IdP, customer-managed keys, audit logs on every action, and deployment options including hosted, your VPC, on-prem appliance, or air-gapped — while supporting any model or agent framework and more than 800 connectors to institutional data sources.
Context is the first AI Office Suite that automates your workflow by creating documents, presentations, spreadsheets, and more using your data, tools, and style.
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Claim this listing for $29Key Features
Unified Workspace
Documents, spreadsheets, decks, kanbans, and file viewers built in so teams and agents share the same environment and deliverables.
Engine & Execution Layer
An execution platform that runs agents and routes steps to the appropriate model, with step-level model routing and continuous improvement.
Unify (Context Graph)
Institutional context engine that captures knowledge, relationships, and permissions so agents can ground runs in firm data and reuse learning.
Evals, Rubrics & Golden Sets
Built-in evaluation suite where rubrics and golden sets validate every run, gate changes, and ensure regressions are caught automatically.
Model & Agent Flexibility
Support for any model or agent framework (Claude, GPT, Gemini, Kimi, open weights) and ability to bring your own models or use Context's workflows.
800+ Connectors
Permissioned connectors across data warehouses, documents, CRMs, ticketing, and internal systems (Snowflake, Box, Salesforce, Jira, Slack, etc.).
Enterprise Identity & Audit
Identity inherited from your IdP on every action, customer-managed keys, and an audit log on every action.
Flexible Deployment
Hosted, in your VPC, on-prem appliance, or air-gapped deployment options so compute and identity remain under customer control.
Accepted Outputs as Training Data
Your team's accepted outputs become training data for custom models you own and serve, improving task-specific performance over off-the-shelf agents.
Pricing
Current pricing details are not available from the vendor source.
Use Cases
Due Diligence & Financial Review
Agents read financials, tickets, and calls to draft diligence memos and flag risk signals and growth opportunities (example: Acme Q4 diligence).
Semiconductor Design & Fab Analytics
Chip design agents track RTL-to-GDSII progress, flag critical-path slips, and surface manufacturing diagnostics.
Workflow Automation & Handoffs
Automates handoffs across teams and tools (ServiceNow, Slack, Asana) to streamline ops and incident workflows.
Legal & Contract Review
Contract review, regulatory matters, and matter management using prebuilt legal agents and connectors to document stores.
Customer Support & Network Ops
Telecom use cases for network operations and customer support by integrating ticketing and telemetry systems.
Integrations
Snowflake
Connector to data warehouse sources for institutional context.
Databricks
Connector to engineering and analytics data platforms.
BigQuery
Connector to Google Cloud data warehouse.
Postgres
Connector for relational databases.
Looker
BI tool connector for dashboards and analytics context.
Box
Document and file storage connector used by prebuilt agents (due diligence).
Notion
Knowledge and docs connector.
Confluence
Enterprise docs and wiki connector.
Google Drive
Document and spreadsheet connector.
Salesforce
CRM connector for sales and customer context.
HubSpot
CRM/marketing connector.
Zendesk
Support ticketing connector.
ServiceNow
ITSM and workflow connector.
Jira
Engineering issue tracker connector.
GitHub
Code and repo context connector.
Slack
Collaboration and notification connector.
Microsoft Teams
Collaboration and messaging connector.
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Contact Context / Book a demo ("Talk to us. Bring a workflow your team runs today and see it run in your environment.").
- 2 Connect your data sources once using the permissioned connectors ("Connect a source once. Agents read, work, and write back under the access rules you set.").
- 3 Configure identity and permissions (IdP integration), define runbooks and rubrics, and choose deployment (hosted, VPC, on-prem, air-gapped) before deploying agents.
Support
Contact / Sales
Email [email protected] and "Talk to us" / sales/demo requests via the website.
Demo
Book a demo or request to see a workflow run in your environment (site: "Talk to us. Bring a workflow your team runs today and see it run in your environment.").
Docs / Resources
Website resources, blog, FAQ, and marketplace pages linked from the site.
API
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