Attive
Attive provides a semantic GTM layer that unifies sales data and AI workflows, giving the entire commercial team consistent, source-backed answers. The platform lets RevOps configure reusable automations like renewal risk digests and pipeline reviews, while AEs, SDRs, and CSMs query account briefs and call summaries in natural language. It replaces DIY Claude + MCP setups that break at scale with centralized permissions, entity resolution, and team-wide audit trails.
- Sales Technology
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Teams that try to scale AI-powered sales intelligence beyond a single power user quickly hit a wall: DIY setups like Claude + MCP work for one person but break at 50 reps. Individual prompts yield inconsistent answers, connectors and permissions drift, entity resolution fails across tools, and audit trails stay trapped in personal chats—so the whole commercial team lacks the shared context a top RevOps person would provide.
Solution
Attive provides a semantic GTM layer that unifies sales data and AI workflows, giving the entire commercial team the same context and answers a top RevOps person would deliver. The platform lets RevOps configure automations—such as renewal risk digests, pipeline reviews, and forecast variance alerts—that run on schedules or event triggers, while AEs, SDRs, and CSMs can query account briefs, call summaries, and usage snapshots in natural language. It moves beyond single-user AI chat tools by embedding AI into the team's daily workflow.
Target Audience
Primary customers are revenue operations teams and commercial organizations (AEs, SDRs, CSMs) at mid-market and enterprise companies that need consistent, governed AI access to their full revenue stack.
Features
- One semantic data graph that normalizes CRM, calls, ticketing, billing, and warehouse data into a cross-source entity resolution layer
- Reusable automations (renewal risk digests, pipeline reviews, forecast variance alerts) that RevOps configures once and run on schedules or event triggers
- Natural-language account briefs, call summaries, and usage snapshots with source-backed citations for every answer
- Team-wide consistency through shared definitions and ontology, ensuring every rep gets the same answer regardless of prompt
- Centralized permissions, audit log, and DPA coverage with chat history visible to the whole team
- Connector catalog covering CRM, conversations, ticketing, billing, and warehouse data sources