For post-sales and customer success teams, Trig is an AI account-management platform built on its Trig Context Engine, combining CRM, product, and support signals so AI agents can flag churn and expansion risk and personalize customer outreach.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Trig is working to own the post-sales context layer, using persistent account memory to coordinate customer-success work across CRM, product, billing, and support data. Its external conversation footprint remains early, so the clearest current signal is the product’s shift from health-score dashboards toward continuous pattern detection and agent execution. The Context Engine supports journey benchmarking, churn and expansion signals, natural-language account questions, and personalized outreach across a customer book. Recent product messaging also emphasizes customer silence as an early signal and a single operating system for post-sales AI, extending the category position without relying on a broad practitioner narrative.
Oliv AI
Fin (Intercom)
Octave
Clarify
LightfieldCloudTrucks, Owner, Nory
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Business Profile
Trig is an independent, 30-person software company with $8 million in recorded funding. It began under the Pavlov name before adopting Trig as the business sharpened its focus on AI account management for post-sales teams. The company is building around a context engine that combines CRM, product, billing, and support data into a persistent account view. Its current stage is that of a compact venture-backed team turning that context layer into revenue signals, journey intelligence, and automated customer actions.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Trig's agent strategy is centered inside the product. Its agents monitor account patterns, answer questions over customer data, flag churn or expansion signals, trigger outreach and alerts, and write updates across connected systems. The Context Engine provides the persistent memory beneath those actions. No public API, MCP server, SDK, or CLI is on file, so the current agent build-out is primarily an in-product experience.
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