Ambient customer intelligence, built for scale.
Unify all your customer feedback
Calls, tickets, surveys, reviews, and community threads ingested automatically from all your tools. Every channel, every signal, every day.

Integrations & connectors
Connect to Qualtrics, Gong, Salesforce, and more. Data flows in automatically — no manual imports, no batch uploads.

Every format, every language
Calls, surveys, reviews, and tickets unified into one intelligence layer — across 40+ languages.

Always listening
No manual work. Connect once & listen continuously—new feedback is ingested, processed, and available every day.

Your business. Your structure. Your language.
Every insight framed the way your teams think about your business — not generic categories. Define how feedback is organized, interpreted, and connected to what matters.

Taxonomy & guardrails
Every insight framed the way your teams think about your business. Define how feedback is organized, interpreted, and connected to what matters.

Knowledge graph
An adaptive data model connecting feedback to your products, customers and goals — maintained automatically.

AI agents for every team
Create AI agents that organize and interpret data the way you do, each with their own job, focus, and tools.
Turn customer understanding into action.
Your goals, org structure, KPIs, procedures, competitive landscape — all used to reason and generate actions that move your business.

Context Engine
Ground AI in your business context by feeding it your products, services, journeys, and strategy.

Skills
Instructions and resources loaded dynamically to guide the AI. Define and control how intelligence is generated.

MCP Client
Pull context from tools like Databricks, Mixpanel, and Drive. Enrich customer intelligence with ops & product data.
Automate customer intelligence, everywhere
Build feedback-to-action workflows that run on their own, into your workflows and tools.

Automation workflows
Schedule or trigger workflows that sync intelligence to Slack, Teams and Salesforce. Configure once, runs forever.

Modes
Choose how intelligence is delivered — purpose-designed output formats for how teams consume and act on intel.

Deliver customer intel everywhere
Use insights in Cursor, ChatGPT, internal AI tools, or your data warehouse via NEXT AI’s MCP server.
Trusted by customer-obsessed teams
Used by the world's leading marketing, retention, product, and care teams.




















Your data. Your rules.
Designed to meet the security, privacy, and compliance requirements of the most demanding enterprises.
Total control
Manage model access, data residency, MCP controls, privacy policies, integrations, and agent rules globally.

Identity and access management
SAML-based SSO for secure login. SCIM provisioning to manage users and groups automatically.

PII protection by default
Personally identifiable information is removed from your data automatically. The LLM never sees PII.
Dedicated guidance
Deploy AI at scale with professional expertise.
Deploy AI at scale with professional expertise.
Premium support
Forward-deployed resources guarantee your success.
Forward-deployed resources guarantee your success.
Zero data retention
No training on your data by NEXT AI or LLM providers.
No training on your data by NEXT AI or LLM providers.
Identity management
SAML-based SSO integration for secure user access.
SAML-based SSO integration for secure user access.
SCIM user provisioning
Easily create, update, and remove users and groups.
Easily create, update, and remove users and groups.
Centralized security controls
Configure model access, MCPs, and agent rules.
Configure model access, MCPs, and agent rules.
Global compliance standards
Compliant with the requirements of GDPR and CCPA.
Compliant with the requirements of GDPR and CCPA.
Third-party security certifications
SOC 2 Type 2 certified and penetration testing.
SOC 2 Type 2 certified and penetration testing.
Robust data protection
AES-256 encryption at rest and TLS 1.2+ in transit.
AES-256 encryption at rest and TLS 1.2+ in transit.
Questions & Answers
What can teams do with NEXT AI (beyond “insights”)?
What are “AI agents” in NEXT AI?
What are “Modes in chat” and why do they matter?
What is the Context Engine?
What is the NEXT AI knowledge graph?
What is MCP in NEXT AI?
Can NEXT AI push insights into our existing workflow tools?
How does NEXT AI reduce manual work?
How is NEXT AI different from traditional VoC tools or dashboards?
How is NEXT AI different from ChatGPT?
Can we use our own AI model?
How does NEXT AI handle PII and privacy?
Does NEXT AI train on our data?
What security and compliance standards does NEXT AI support?








