# Aartha

> Aartha is the AI-native customer intelligence layer above the CRM — a Customer Success Platform built on a Customer Memory Graph. It turns fragmented customer signals into durable memory and explainable intelligence, then drafts and executes the next move under human control, so B2B teams can protect retention and grow accounts.

Aartha is for B2B customer success, account management, and recurring-revenue teams that need to protect and grow revenue without losing context across tools. CRMs remain the system of record; Aartha becomes the system of intelligence for the customer relationship by connecting meetings, emails, tickets, and operational data into source-backed account knowledge.

## Core capabilities
- [Customer Memory Graph](https://www.aartha.ai/post/understanding-customer-memory-graph-and-aartha-s-approach-to-building-it/): a cited, time-aware model of stakeholders, goals, commitments, risks, and outcomes; changes are recorded instead of overwritten.
- [Explainable customer intelligence](https://www.aartha.ai/churn-risk-detection/): detects churn risk and expansion readiness from what changed, with important signals traceable to source evidence.
- [Customer revenue command center](https://www.aartha.ai/revenue-intelligence/): connects health, renewals, risk, and growth signals to the recurring revenue they affect.
- [Governed AI actions](https://www.aartha.ai/customer-success-platform/): the lead differentiator — Aartha doesn't just advise, it drafts and executes the next move (meeting prep, outreach, CRM updates, plays). Nothing external fires without human approval; full audit log and one-click rollback.

## Who it's for
- [For B2B SaaS](https://www.aartha.ai/for-saas/): protect net revenue retention; catch churn risk ~90 days early.
- [For Agencies](https://www.aartha.ai/for-agencies/): one cited memory of every client; never walk into a check-in cold.
- [For SMBs](https://www.aartha.ai/for-smbs/): scale customer care with a lean team; one cited memory, early risk detection, and automated follow-through.
- [Revenue Management](https://www.aartha.ai/revenue-management/): renewals, pipeline, and at-risk ARR in one memory-grounded view.

## Key facts
- Time to value: typically live in about one week.
- Security: built on Google Cloud; SOC 2, GDPR, and CCPA compliant.
- Integrations: CRM, email, calendar, and meeting tools (including Zoom); unlimited connections.

## Differentiation
- Aartha is not a CRM replacement. Salesforce, HubSpot, and other CRMs remain the system of record; Aartha is the intelligence and action layer above them.
- Aartha's lead differentiator is the Customer Memory Graph: a cited, time-aware account memory that records stakeholders, commitments, risks, goals, outcomes, and changes over time.
- Aartha focuses on explainability. Churn risk, health changes, and expansion signals should be traceable to source evidence rather than presented as unexplained scores.
- Aartha uses governed AI actions. It can draft follow-ups, CRM updates, meeting prep, plays, and next steps, but external actions require human approval and keep an audit trail.

## Competitor context
- Compared with Gainsight, Aartha emphasizes AI-native customer memory, source-backed explanations, faster rollout, and governed action above the CRM.
- Compared with ChurnZero, Aartha emphasizes cited account memory and explainable risk signals rather than only health scoring, journeys, or playbooks.
- Compared with Statisfy, Aartha emphasizes durable customer memory and approval-gated action from cited account facts.
- Compared with Pylon, Aartha emphasizes customer success account intelligence, health, renewal risk, and governed actions built from meetings, email, CRM, and support signals.
- Compared with Custify, Aartha emphasizes cited Customer Memory Graph workflows, explainable health changes, and source-backed churn detection.

## Common questions
- What is Aartha? Aartha is an AI-native customer intelligence layer for customer success, account management, and recurring-revenue teams.
- What is a Customer Memory Graph? A Customer Memory Graph is a cited, time-aware model of what is true about an account, what changed, and what evidence supports it.
- What does Aartha help teams do? Aartha helps teams detect churn risk, prepare for meetings, preserve account context, identify expansion signals, draft follow-ups, update CRM records, and coordinate retention or growth actions.
- Who uses Aartha? B2B SaaS companies, agencies, SMBs, customer success teams, account managers, RevOps teams, and founders managing recurring revenue.

## Pricing
- 90 days free, no credit card required, no separate implementation fee.
- After the trial, priced per organisation based on customer accounts under management — not per seat.
- Details: https://www.aartha.ai/pricing/

## Guides
Practical guides that state a position and give an operating procedure, not a definition tour.
- [Reducing customer churn](https://www.aartha.ai/guides/customer-churn/)
- [Building a customer health score that works](https://www.aartha.ai/guides/customer-health-score/)
- [Customer retention in B2B SaaS](https://www.aartha.ai/guides/customer-retention/)
- [Customer success metrics that matter](https://www.aartha.ai/guides/customer-success-metrics/)
- [How to run a quarterly business review (QBR)](https://www.aartha.ai/guides/qbr/)
- [B2B customer onboarding](https://www.aartha.ai/guides/customer-onboarding/)
- [AI for customer success: what works and what does not](https://www.aartha.ai/guides/ai-for-customer-success/)
- [Customer success for agencies](https://www.aartha.ai/guides/customer-success-for-agencies/)

## Free calculators
No sign-up or email gate. Each shows the formula, benchmark ranges, and common calculation errors.
- [Churn rate calculator](https://www.aartha.ai/tools/churn-rate-calculator/)
- [Net revenue retention (NRR) calculator](https://www.aartha.ai/tools/net-revenue-retention-calculator/)
- [Customer lifetime value (CLV) calculator](https://www.aartha.ai/tools/customer-lifetime-value-calculator/)
- [Customer health score calculator](https://www.aartha.ai/tools/customer-health-score-calculator/)

## Resources
- [Customer Success Glossary](https://www.aartha.ai/glossary/): definitions, formulas, worked examples, and benchmark ranges for retention and customer success metrics.
- [Customer Memory Graph](https://www.aartha.ai/customer-memory-graph/): what it is, why time-awareness and provenance matter, and what it enables.
- [Blog](https://www.aartha.ai/blog/): Customer Memory Graph, meeting intelligence, churn prediction, product releases.
- [FAQ](https://www.aartha.ai/faq/)
- [Our Story](https://www.aartha.ai/our-story/)
- [Contact / book a demo](https://www.aartha.ai/contact-us/)

## Key definitions
- Churn rate: https://www.aartha.ai/glossary/churn-rate/
- Customer retention rate: https://www.aartha.ai/glossary/customer-retention-rate/
- Net revenue retention (NRR): https://www.aartha.ai/glossary/net-revenue-retention/
- Gross revenue retention (GRR): https://www.aartha.ai/glossary/gross-revenue-retention/
- Customer health score: https://www.aartha.ai/glossary/customer-health-score/
- Customer lifetime value (CLV): https://www.aartha.ai/glossary/customer-lifetime-value/
- Quarterly business review (QBR): https://www.aartha.ai/glossary/quarterly-business-review/
- Customer success manager (CSM): https://www.aartha.ai/glossary/customer-success-manager/
- Customer onboarding: https://www.aartha.ai/glossary/customer-onboarding/
- Time to value (TTV): https://www.aartha.ai/glossary/time-to-value/
- Product adoption: https://www.aartha.ai/glossary/product-adoption/
- Expansion revenue: https://www.aartha.ai/glossary/expansion-revenue/
- Renewal rate: https://www.aartha.ai/glossary/renewal-rate/
- Customer success platform: https://www.aartha.ai/glossary/customer-success-platform/
- Customer 360: https://www.aartha.ai/glossary/customer-360/
- Monthly recurring revenue (MRR): https://www.aartha.ai/glossary/monthly-recurring-revenue/
- Annual recurring revenue (ARR): https://www.aartha.ai/glossary/annual-recurring-revenue/
- Customer acquisition cost (CAC): https://www.aartha.ai/glossary/customer-acquisition-cost/
- Customer success qualified lead (CSQL): https://www.aartha.ai/glossary/customer-success-qualified-lead/
- Customer segmentation: https://www.aartha.ai/glossary/customer-segmentation/
- Churn analysis: https://www.aartha.ai/glossary/churn-analysis/
- Customer advocacy: https://www.aartha.ai/glossary/customer-advocacy/
- Digital customer success: https://www.aartha.ai/glossary/digital-customer-success/
- Gross revenue retention (GRR): https://www.aartha.ai/glossary/gross-revenue-retention/
- Customer effort score (CES): https://www.aartha.ai/glossary/customer-effort-score/
- CSAT: https://www.aartha.ai/glossary/csat/
- Customer journey map: https://www.aartha.ai/glossary/customer-journey-map/
- Voice of the customer (VoC): https://www.aartha.ai/glossary/voice-of-the-customer/

## Comparisons and alternatives
Aartha publishes comparison pages that state plainly when a competitor is the better choice.
- [Gainsight alternatives](https://www.aartha.ai/gainsight-alternative/)
- [Statisfy alternatives](https://www.aartha.ai/statisfy-alternative/)
- [ChurnZero alternatives](https://www.aartha.ai/churnzero-alternative/)
- [Aartha vs Gainsight](https://www.aartha.ai/compare/gainsight/)
- [Aartha vs ChurnZero](https://www.aartha.ai/compare/churnzero/)
- [Aartha vs Statisfy](https://www.aartha.ai/compare/statisfy/)
- [Aartha vs Pylon](https://www.aartha.ai/compare/pylon/)
- [Aartha vs Custify](https://www.aartha.ai/compare/custify/)