Now accepting early access requests

Know who's leaving before they do

AI-powered churn prediction built for SaaS Customer Success teams. Upload your data, get predictions in 30 minutes. No consultants. No 3-month implementations.

Join Waitlist See How It Works

30min To first predictions

85%+ Prediction accuracy

$0 Implementation fees

Tenur Customer Health Dashboard showing $14.7M ARR across 150 customers with health distribution, priority accounts, and recommended actions

How It Works

From data to predictions in four steps

No data science team required. Our AI handles the complexity so you can focus on saving customers.

Connect Your Data

Upload a CSV or connect your CRM. Our AI automatically identifies relevant fields and suggests schema mappings.

AI Analyzes Patterns

Ensemble ML models train on your historical data to identify the signals that predict churn in your specific business.

Get Risk Scores

Every customer receives a churn probability score with explainable factors showing exactly why they're at risk.

Take Action

Prioritize outreach to high-risk accounts. Track interventions. Measure impact on retention over time.

The Problem

You're flying blind on customer health

Traditional signals miss the patterns that actually predict churn.

Metrics look fine, then they leave

Usage is steady. NPS is decent. Then renewal comes and they're gone. The signals were there, but buried in data you couldn't connect.

Too little time, too many accounts

Your CSMs can't proactively reach every customer. Without knowing who's actually at risk, you're spreading effort thin instead of focusing where it matters.

Data science is a 6-month project

Building churn models in-house means hiring data scientists, cleaning data for months, and maintaining models that drift. Most teams can't justify the investment.

Features

Enterprise intelligence, startup simplicity

The churn prediction capabilities of a data science team, without the headcount.

Self-Service Onboarding

AI guides you through setup step by step. Connect your data sources, map your fields, and start getting predictions. No technical team required, no professional services engagement.

Ensemble ML Models

We combine XGBoost, CatBoost, and Random Forest algorithms trained on your historical data. Multiple models working together catch patterns any single model would miss.

Explainable Predictions

Every risk score comes with the top factors driving it. Know exactly why a customer is flagged so you can have informed conversations and targeted interventions.

Growth-Stage Pricing

Enterprise-grade intelligence without enterprise pricing. Plans scale with your customer base, not your headcount. No six-figure annual contracts to get started.

Integrations

Works with your stack

Connect the tools you already use to feed richer signals into your predictions.

HubSpot

Salesforce

Intercom

Zendesk

Gainsight

Snowflake

Segment

CSV Upload

More integrations coming soon. Don't see yours? Let us know.

Why Tenur

The smarter path to churn intelligence

Time to first predictions

30 minutes

3-6 months

2-4 months

Upfront cost

$150K+ (hire)

$50-200K

Ongoing maintenance

Included

Your team

Additional fees

Model updates

Automatic

Manual

Per engagement

Technical team required

Yes

Sometimes

FAQ

Questions you might have

How much historical data do I need?

We recommend at least 12 months of customer data with some churn events to train effective models. The more history and the more churned customers in that history, the better the predictions. We'll tell you if your data isn't sufficient during onboarding.

Is my data secure?

Your data is encrypted in transit and at rest. We don't share data between customers or use it to train models for other companies. You can delete your data at any time, and we support SOC 2 compliance requirements.

What if I don't have a data team?

That's exactly who we built this for. Our AI guides you through every step, from data upload to field mapping to interpreting results. If you can export a CSV, you can use Tenur.

How accurate are the predictions?

Most customers see 85%+ accuracy after model training, but it depends on your data quality and business patterns. We show you model performance metrics so you know exactly how much to trust the scores.

Can I integrate with my existing tools?

Yes. We integrate with major CRMs, support platforms, and data warehouses. You can also export predictions via API or CSV to use in your existing workflows.

What does pricing look like?

Pricing scales with the number of customers you're tracking, not your team size. We'll share specific pricing during early access based on your volume. No enterprise minimums to get started.

About

Built by someone who's lived this problem

Tenur was created by a Customer Success leader with over 13 years of experience scaling SaaS teams. After building churn prediction models internally and seeing the gap between what enterprise tools cost and what growth-stage teams can afford, we decided to build something better.

We've managed global CS teams, built ML pipelines from scratch, and saved millions in ARR through proactive retention. Now we're packaging that expertise into a tool any CS team can use.

13+ Years in SaaS Scaling CS teams from 5 to 21+ globally

$355K+ ARR Protected Through ML-powered churn prediction

Ensemble ML Expertise XGBoost, CatBoost, Random Forest pipelines

Roadmap

What we're building next

Our vision for where Tenur is headed. Early access members help shape priorities.

Now

Foundation

CSV data upload and mapping
Ensemble churn prediction models
Risk scoring dashboard
Explainable prediction factors

Native CRM connections
Slack and email alerts
API for custom workflows
Automated risk monitoring

Future

Intelligence

Recommended interventions
Playbook automation
Revenue impact forecasting
Team performance analytics