For enterprise

Product discovery is an organizational problem. Treat it like one.

Every team sees a different slice of the customer. One system connects the slices into something the whole organization can act on.

Your teams already collect feedback. Hundreds of calls, thousands of tickets, quarterly surveys. The problem isn't volume, it's fragmentation. ClosedLoop AI connects every insight into a single system, enriched with the deal, the account, and the dollars behind it.

Your security team signs off once. Your product team gets value the same day.

The problem with more tools

Six teams, six versions of the truth.

Enterprise teams don't lack data. They lack a system that turns it into shared understanding.

01 / Insight fragmentation

Six teams, six versions of the truth

Sales hears pricing objections. CS hears performance complaints. Product hears feature gaps. Each team reports upward with a different story, and strategic decisions get made on whichever narrative reaches leadership first, not whichever one has the most evidence.

02 / Manual aggregation

Your best people spend time summarizing

At scale, someone always ends up manually tagging calls, building spreadsheets, running searches. This work is expensive, slow, and never complete. By the time it reaches a decision-maker, the insight is weeks old.

03 / Unknown unknowns

You can't search for what you don't know to look for

Most tools require categories defined upfront. But the most valuable intelligence, an emerging competitor mention, a new use case, a shifting pain point, is precisely what nobody thought to track.

04 / Decision lag

Insights that arrive after the decision

By the time the quarterly readout hits leadership, the customers who flagged the issue have churned, the competitor has shipped, and the deal has closed lost. Speed of insight is speed of strategy.

How it works at scale

A system that connects insight to decision across the organization.

One pipeline. Every team's tools. Continuous, evidence-backed intelligence, not weekly reports.

  1. 01

    Every touchpoint, every team, one system

    Calls, tickets, surveys, Slack threads, community posts. Ingested automatically from your existing stack. No manual tagging, no behavior change from frontline teams.

  2. 02

    Insights enriched with business context

    Every extracted insight is tied to account, deal size, contract status, and segment. A feature request from a $50K prospect is different from one from a $500K renewal. The system knows the difference.

  3. 03

    Intelligence surfaces, you don't go looking

    Emerging themes, cross-team patterns, and revenue-linked insights appear proactively. Your teams don't search a dashboard. The system tells them what changed and why it matters.

Enterprise-grade, not enterprise-complex

The infrastructure to deploy across teams, without a six-month implementation.

Your security team signs off once. Your product team gets value the same day.

  • SOC 2, SSO, data residency

    SAML and SSO, role-based access, EU and US data residency options. SOC 2 Type II and ISO 27001:2022.

  • Built for thousands of insights per day

    Hundreds of calls, thousands of tickets, tens of thousands of messages, processed continuously. Priority processing, custom SLAs, dedicated infrastructure.

  • Your stack, your workflows

    Beyond our 44 native integrations: custom data sources, internal tools, proprietary formats. Dedicated engineering support to connect whatever your team uses.

  • Dedicated engineering and CSM

    A named technical contact and customer success lead. Quarterly business reviews. A custom SLA backed by a contract, not a status page.

Sources

Connects across your entire stack.

Gong Salesforce HubSpot Slack Zendesk Jira All integrations

Stop treating product discovery as a side project.

Talk to our team about what a system-level approach looks like for your organization.