Boost growth with AI that explains why customers buy (or don't buy), struggle, or churn
Turn sales/cs calls, support tickets, surveys, reviews, and community posts into actions that improves conversion, retention, care, and velocity.
Deel's marketing turns sales/cs calls into persona-ready insights—powering sharper messaging and higher conversion.
Wahi uses broker calls and support tickets to ship the right features faster—fewer mis-bets, less rework, stronger alignment.
Pledg turns product and support feedback into shared intelligence—delivered instantly to the right Slack channels and DMs, automatically.
↑21%
Keep personas and messaging aligned to real customer language from calls and tickets for campaigns resonate and convert.
↑30%
Turn feedback into ranked priorities with counts and quotes, so teams decide what to ship with confidence, ship it faster, and cut rework.
↑99%
Automate feedback analysis across channels and push insights back into the flow of work, so teams act in minutes, not weeks.
↑32%
Extract objections, decision criteria, and competitor intel from calls to sharpen positioning and reduce avoidable losses.
Your Customer OS
Give your team superpowers
Make faster, better decisions across conversion, retention, growth, and product
Make faster, better decisions across conversion, retention, growth, and product
Purpose-built modes in chat
Deep research, hypothesis validation, and comparisons—structured outputs designed for how teams actually work.
Team-specific AI agents that do the work
Create agents that cluster themes, quantify drivers, and surface evidence by product, persona, or segment.
Connect your business context (MCP)
Pull context from Amplitude, Databricks, and more to enrich feedback and improve answer quality.
↑32%
Extract objections, decision criteria, and competitor intel from calls to sharpen positioning and reduce avoidable losses.
↓99%
Less manual work
Reduced time to insight from weeks to minutes by automating customer interaction analysis with AI.
↓28%
Lower churn
Spot churn drivers early and coordinate Product + Customer Success actions before renewals are at risk.
↓20%
Reduced support contacts by tapping ticket insights to drive improvements, not just resolutions.
Churn-risk messaging & retention plays
Find the real reasons why accounts churn or renew—ranked by segment or persona, and tied to evidence from tickets and calls. Create messaging and playbooks.
Win/loss & competitive narrative
Extract competitor mentions, objections, and decision criteria from sales calls—ready for messaging and enablement.
Customer-led product roadmap
Turn scattered customer feedback and requests into quantified themes and priorities—grounded in real customer quotes and volumes.
Persona-based marketing at scale
Continuously funnel what matters to each persona from calls/tickets/reviews into campaign language, landing pages, and sales collateral.
Onboarding and adoption drivers
Explain drop-offs in activation with customer language—counts & verbatims. And generate fix-first recommendations.
Get inspired by real prompts
How tech companies are putting their data to work
How tech companies are putting their data to work
What are the top complaints about checkout by store format?
Why did NPS drop in France this month? Break down by themes, verbatims, and counts.
Which categories drive the most ‘out of stock’ mentions—and where?
Compare top-performing stores vs bottom: what customers praise vs criticize.
the 5 biggest service themes (store navigation, staff, cleanliness, product choice, price range…)?
What are the top return reasons customers mention? Quantify by category.
Create a store playbook : top fixes this week + suggested owner teams.
Scan our Q1 checkout roadmap in Confluence and identify gaps what customers are actually unhappy with.
Create copy for in-store Wow! campaigns based on what customers love about shopping with us.
Built for scale & safety
Enterprise controls for data, models, and agents
Enterprise controls for data, models, and agents
Total control
Manage model access, data residency, MCP controls, privacy policies, integrations, and agent rules globally.
Connected to your enterprise stack
Gong, Zendesk, HubSpot, Salesforce, Amplitude, app reviews, community—activate insights everywhere.
PII protection by default
Automatically redact personal data so teams can safely work with real customer language.
Questions & Answers
What is customer intelligence for B2B SaaS companies?
What is NEXT AI, in one sentence?
How is NEXT AI different from ChatGPT for customer insights?
What customer data sources can NEXT AI analyze?
Does NEXT AI replace Gong, Zendesk, HubSpot, Salesforce, or Amplitude?
How does NEXT AI help reduce churn and improve renewals?
How does NEXT AI improve onboarding and product adoption?
How does NEXT AI accelerate roadmap velocity?
How does NEXT AI support win/loss analysis and competitive insights?
How does NEXT AI improve marketing conversions?
What are “Modes” in NEXT AI (and why do they matter)?
What are team-specific AI agents in NEXT AI?
What is MCP, and why connect tools like Amplitude or Databricks?
How does NEXT AI avoid “just AI summaries”?
How do I use analytics?