DorisLabs
DorisLabs provides an AI-powered semantic layer for B2B sales teams, transforming scattered call recordings, emails, and documents into a unified, queryable record of deal knowledge. The platform deploys "Sidekicks"—AI agents that proactively push deals forward by surfacing relevant historical context and drafting next steps, with all buyer-facing communications requiring human approval. It integrates with tools like Zoom, Google Meet, and Teams, and connects to AI assistants like Claude and ChatGPT via a remote MCP server.
- Sales Technology
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Sales teams lose critical deal context scattered across call recordings, email threads, documents, and the CRM, which only captures fields like stage and amount. When reps leave, the knowledge of why deals closed or stalled leaves with them, forcing the company to relearn the same lessons on every new deal. This fragmentation makes it nearly impossible to understand what actually drives revenue outcomes.
Solution
Doris is the semantic layer underneath the go-to-market stack that reads every call, email, and document, then links each piece of information to the deal it belongs to. It builds one typed, queryable record per deal using an ontology that standardizes concepts like deals, people, objections, and value drivers, and understands how they relate across the entire deal cycle. The platform serves this ontology as a remote MCP server, so AI agents like Claude, Cursor, and ChatGPT can read the pipeline in a single call and answer questions like "what worked on deals similar to Titan Aerospace?" Doris also includes a notetaker that joins meetings on Zoom, Meet, and Teams, turning conversations into typed facts on the deal record, and a sales agent that lets reps ask the pipeline anything and hear what won similar deals last time.
Target Audience
Primary customers are sales operations leaders and revenue teams at B2B companies who need to reduce institutional knowledge loss and improve deal win rates. The platform is also built for sales reps who want AI-assisted context before calls and for forward-thinking sales leaders looking to deploy AI agents across their go-to-market stack.
Features
- Ontology-based semantic layer that translates scattered data into standardized concepts (deals, people, value drivers, objections) with relationship mapping across the deal cycle
- Remote MCP server integration that indexes 80,000+ objects, letting Claude, Cursor, ChatGPT, and Claude Code query the pipeline in one call
- Notetaker that joins Zoom, Google Meet, and Microsoft Teams calls, records what was said, and converts it into typed facts on the deal record, with each fact linked to the passage it came from
- Sales agent that answers pipeline questions and surfaces what convinced similar buyers in past deals
- Flows feature that lets teams describe work and Doris builds the automated workflow to execute it, with independent branches running simultaneously
- CRM write-back that draws from the same typed record, ensuring the system of record stays current without manual entry
- Sidekicks that proactively push deals forward, drafting emails and invites that require human approval before anything reaches a buyer
- Admin controls showing usage per person, with every answer opening to its source and a safe mode for tool permissions