Corridor Context
Corridor Context builds a durable organizational intelligence layer that connects a firm's existing knowledge sources—Slack, email, docs, meetings, and CRM—to any AI tool the team uses. The platform provisions data into the customer's own cloud environment, ensuring data ownership and portability across AI vendors like Claude, ChatGPT, and Gemini. Meeting transcription and action-item extraction from Teams, Zoom, and Google Meet calls are among the core features that embed AI into daily operations.
- Enterprise Software
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
AI tools like Claude, ChatGPT, and Gemini are deployed across businesses but operate without access to the company's institutional knowledge, producing generic answers that fail to drive outcomes. This forces employees to manually rebuild context, leading to low adoption and wasted software spend.
Solution
Corridor Context creates a durable organizational intelligence layer that connects to a firm's existing knowledge sources—Slack, email, docs, meetings, and CRM—and makes that context available to any AI tool the team uses. The platform provisions data into the customer's own environment, ensuring data ownership and portability across AI vendors. By giving every AI interaction access to the company's history and workflows, Corridor Context enables teams to move from generic responses to actionable, business-specific insights without changing their existing tooling. The company also pairs with clients to deploy workflows that embed AI into daily operations, not just standalone chat interfaces.
Target Audience
Primary customers are mid-to-large enterprises and professional services firms that have deployed or are planning to deploy AI tools and need to ensure those tools are grounded in company-specific knowledge.
Features
- One-time integration with existing business tools (Slack, email, docs, meetings, CRM) to build a unified context layer
- Data provisioned to the customer's own cloud environment, ensuring full ownership and control
- Vendor-agnostic design that allows swapping AI providers (Claude, ChatGPT, Gemini) without losing accumulated context
- Meeting transcription and action-item extraction that joins Teams, Zoom, and Google Meet calls to record decisions, owners, and next steps
- AI-generated personal context pages that the AI reads before answering, along with admin-approved decision records shared firm-wide
- Workflow deployment that embeds AI into daily operations, not just standalone chat interfaces