Product Intelligence for B2B Technology Enterprises
Pulse connects product requests, support tickets, sales feedback, and customer signals, helping Product and CS teams build what matters, prioritise with confidence, and close the loop
Integration connection with Egnyte hangs during the connection process
GitHub integration showing only 1 out of 7 scopes connected with no user data
User interface fails to load after recent update
API response times exceed acceptable limits
Data sync errors occur when importing files
Mobile app crashes on startup after login
Integration connection with Egnyte hangs during the connection process
GitHub integration showing only 1 out of 7 scopes connected with no user data
User interface fails to load after recent update
API response times exceed acceptable limits
Data sync errors occur when importing files
Mobile app crashes on startup after login
Who's it for? Product Managers &
CS Teams in B2B Orgs
Turn fragmented product and customer feedback into a clear, prioritised roadmap for action.
Unify
Unify product requests, support issues, sales signals, and customer feedback
Unify
Unify product requests, support issues, sales signals, and customer feedback
Deduplicate
Identify themes, deduplicate noise, and surface root causes
Prioritise what actually matters
Prioritise work by ARR at risk, churn probability, renewals, and NRR impact
Validate with customers
Validate priorities with customers via surveys and shared roadmaps
Turn Insights into Action
Push structured outputs into Jira, Linear, Notion, and downstream tools
How Pulse's Product
Intelligence Engine Works
Built for scale, speed, and cross-functional execution
Core Capabilities
Pulse brings structure, intelligence, and business context to every step of the product decision lifecycle.
AI in Action
Intelligent agents that learn your product taxonomy, detect patterns across feedback, and surface actionable insights
Deduplication Agent
Groups similar feedback from tickets, calls, surveys, and requests — eliminating noise and revealing the real size and impact of each problem
Deduplication Agent
Groups similar feedback from tickets, calls, surveys, and requests — eliminating noise and revealing the real size and impact of each problem
Classification Copilot
Learns how your teams think and auto-labels feedback by product area, issue type, customer segment, and region. Humans stay in control — accept, edit, or override in one click.
Comprehension Copilot
Ask questions like "What's driving churn in mid-market accounts?" and get structured answers with linked sources and context.
Hotspot Builder
Layers themes, volumes, revenue signals, competitor mentions, and urgency to surface the riskiest gaps and biggest opportunities across products and segments.
Roadmap Intelligence
Turns insights into a clear, shareable roadmap mapped to quarters, initiatives, and impact metrics — with every item traceable back to real customer feedback.
Business Outcomes
Learn how leading teams turn feedback into actionLearn How Leading Teams Turn Feedback Into Action
Can't I Just Build This With an LLM? Why Replicating Pulse Is Much Harder Than It LooksCan't I Just Build This With an LLM? Why Replicating Pulse Is Much Harder Than It Looks
Every week, someone asks: couldn't we just build feedback intelligence internally using an LLM? The short answer: Pulse is not an LLM wrapper. The gap between a demo and a production system is where most internal builds fail.Every week, someone asks: couldn't we just build feedback intelligence internally using an LLM? The short answer: Pulse is not an LLM wrapper. The gap between a demo and a production system is where most internal builds fail.
25 Feb 202625 Feb 2026
How Data Duplication Undermines Product Teams - And How Pulse Makes Feedback Effortlessly CleanHow Data Duplication Undermines Product Teams - And How Pulse Makes Feedback Effortlessly Clean
When identical requests appear in Zendesk, Slack, Salesforce, and other tools simultaneously, teams face distorted demand signals and wasted resources. A feature request appearing four times across different channels might represent just one unique customer need, yet be treated as four separate requests.When identical requests appear in Zendesk, Slack, Salesforce, and other tools simultaneously, teams face distorted demand signals and wasted resources. A feature request appearing four times across different channels might represent just one unique customer need, yet be treated as four separate requests.
20 Nov 202520 Nov 2025
Security & Compliance You Can Trust
Security & Compliance You Can Trust
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