One poisoned data batch. One bad deployment. Your team loses a weekend. Your compute budget takes the hit.
Bad training data
is costing you more
than you think.
Verdax detects poisoned, drifted, and corrupted training data before your model retrains. Every blocked retrain automatically generates a CO₂ savings report your sustainability team can use.
Every unnecessary retrain
costs you twice.
Bad data triggers model retrains that waste compute budget, emit carbon, and consume your team's time. Most teams have no way to catch it before it happens.
The carbon cost of unnecessary AI retraining is real and growing. Equivalent to driving over 2,100 km. Wasted.
Multiply across your model portfolio. The waste compounds fast in cost, time, and emissions your team can't report.
Upload. Scan. Block. Report.
Verdax works entirely in your browser. Your raw data is never stored, only scan results.
Upload your dataset
Drag and drop your training CSV into the Verdax dashboard. Files are scanned in memory, never written to disk.
Instant anomaly detection
Verdax validates schema, detects statistical drift, and scores data quality in seconds.
CO₂ report generated
Every blocked retrain creates an ESG-ready sustainability report. Ready for your board.
Your data. Your control.
We built Verdax with a simple principle: your training data should never leave your hands. Here's exactly what we store and what we don't.
What we store
- ✓Scan results and anomaly scores
- ✓CO₂ and cost impact per scan
- ✓Incident history and audit log
- ✓Your account and billing info
- ✓Device identifiers (up to 3 per license)
What we never store
- ×Raw training data rows
- ×Model weights or parameters
- ×Feature values from your dataset
- ×Personal data from your datasets
- ×Dataset files of any kind
Raw CSV data is processed in memory during scanning and immediately discarded. Only anonymized statistics are retained.
Turn blocked retrains into
sustainability wins.
As organizations face growing pressure to measure and report AI's environmental impact, Verdax gives your ML team a concrete, defensible number.
Generated on every blocked retrain
No manual calculation. No spreadsheets. Every time Verdax blocks a bad retrain, the CO₂ impact is calculated and logged automatically.
Backed by published research
Energy benchmarks from published research. Grid intensity from international energy agencies. Methodology shown transparently on every report.
PDF reports in one click
Generate quarterly sustainability reports covering your entire model portfolio. Ready for your CFO, board, or ESG filing.
Q1 2026 Sustainability Report
ML Pipeline Carbon Impact
Acme Corp
Simple pricing.
Serious savings.
Start free for 14 days. One prevented retrain often pays for months of Verdax.
For ML teams getting started with data quality monitoring.
- 150 scans per month
- Web dashboard
- PDF ESG reports
- CO₂ savings tracker
- 12-month history
- Slack + email alerts
- Up to 5 pipelines
- 3 team seats
- Email support (24hr)
- MLflow integration
For growing ML teams with production models and ESG reporting requirements.
- Unlimited scans
- Unlimited pipelines
- 10 team seats
- Everything in Starter, plus:
- Full MLflow integration
- CI/CD integration
- REST API access
- Custom anomaly thresholds
- Quarterly board ESG report
- Priority support (4hr response)
- Data export (CSV/JSON/PDF)
- Webhook notifications
- 1hr onboarding call with founders
For organizations that need a wider rollout, more control, and hands-on support.
- Everything in Growth, plus:
- Unlimited team seats
- SSO / SAML authentication
- RBAC and audit logs
- 99.9% SLA guarantee
- Dedicated success manager
- Custom integrations
- Data Processing Agreement
- Security questionnaire support
- On-premise deployment option
All plans include a 14-day free trial. No credit card required to start. Cancel anytime. Raw training data is never stored.
Calculate your savings
See exactly how quickly Verdax pays for itself.
Without Verdax
Wasted compute$0/year
CO₂ wasted0 kg/year
With Verdax Growth
Annual cost$2,988/year
Potential savings$0
CO₂ documented0 kg
Common questions
Your next bad retrain
is already in your pipeline.
Catch it before it happens.