Pulse is an AI‑native Feedback Intelligence operating system for enterprises that consolidates customer signals from support tickets, CRM, calls, app reviews, and other channels into a unified repository. Its AI agents deduplicate, detect themes, and prioritize insights by measurable business impact, then automatically route actionable items to tools like Jira, Linear, Notion, and Slack, enabling product, CX, and operations teams to make data‑driven decisions quickly.
Funding
$1.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+4Founders
Product
Problem
Enterprises collect customer feedback from many sources—support tickets, CRM records, call recordings, app reviews, and internal communications—but the data remains fragmented, duplicated, and noisy, making it difficult to extract actionable insights quickly.
Solution
Pulse provides an AI-native Feedback Intelligence operating system that ingests raw signals from all major feedback channels into a unified repository. Multi‑agent AI analyzes the data to detect themes, deduplicate overlapping inputs, and surface root causes. The platform then prioritises each insight by measurable business impact such as revenue potential, churn risk, or operational cost, and aligns the resulting actions with product roadmaps, support workflows, and CX initiatives. Integrated with tools like Jira, Linear, Notion, Salesforce, Zendesk, and Slack, Pulse automates the flow of insights into existing processes, enabling teams to act on validated priorities without manual data wrangling. The system also offers audit trails, role‑based access, and enterprise‑grade security to ensure compliance and traceability.
Target Audience
Primary customers are product, customer experience, and business operations teams at B2B technology and consumer‑led enterprises that need to turn scattered customer signals into data‑driven decisions.
Features
- Unified ingestion of feedback from support desks, CRMs, call transcripts, app stores, surveys, emails, and collaboration platforms
- AI‑driven theme detection, deduplication, and root‑cause analysis across multi‑channel data
- Impact‑based prioritisation ranking items by revenue, churn risk, LTV, or operational cost
- Automated routing of prioritized insights to downstream tools (Jira, Linear, Notion, Slack, etc.) and generation of actionable tickets or roadmap items
- Real‑time alerts and workflow automation to trigger CX or product interventions
- Enterprise security features including data isolation, role‑based access, audit logs, and compliance‑ready architecture
- AI Copilot that answers ad‑hoc queries and validates ideas with data‑backed recommendations