Hyperengage

Hyperengage is a platform designed to create a unified customer memory graph for post-sales agents, addressing the challenge of fragmented customer context across multiple tools. It consolidates data from sources such as CRM systems, product usage events, support interactions, emails, meetings, and billing into a structured graph that AI agents can access, reason over, and act upon. This approach aims to eliminate the inefficiency caused by scattered information, such as customer success managers (CSMs) manually gathering context from disparate systems before engaging with clients.

The platform integrates with tools including HubSpot CRM, Salesforce CRM, Segment, Intercom, Zendesk, Slack, and Stripe, automatically ingesting and reconciling their data into a single semantic model. Each customer account is represented as a dynamic object containing health trajectory, usage depth, interaction history, risk signals, and expansion opportunities. Hyperengage's memory graph supports both quantitative and qualitative analysis, with AI extracting insights from conversations and events, such as champion departures, pricing objections, and feature adoption milestones.

Hyperengage provides several native agent interfaces: Sidekick briefs CSMs on recent changes and next steps, Copilot answers complex customer questions by traversing the full memory graph, and Signals Engine triggers playbooks based on detected signals. The MCP API allows external AI agents, such as Claude or Codex, to access the customer memory graph. The platform is designed to answer questions about customer behavior, identify at-risk accounts, detect key stakeholder changes, and surface upsell or renewal opportunities, all with minimal latency.

Developed through extensive conversations with customer success leaders in B2B SaaS, Hyperengage targets organizations seeking to improve post-sales efficiency and customer retention by providing AI agents with comprehensive, actionable context.