Connect Your Live Data
Upload files or connect databases — your pipeline, one place.
Supported data sources
From static files to live data pipelines
Connect Rassket to your databases and OT pipelines — including SCADA-aligned time series and historian exports — so your best model runs inference as new telemetry arrives.
Included
- PostgreSQL, InfluxDB, MySQL, MongoDB, Prometheus, and SCADA / historian feeds (time-series bridges & secure exports)
- Natural language queries — ask your data in plain English, no SQL needed
- Live predictions update automatically when new data comes in
- Drift detection alerts you when it's time to retrain
Product preview
| Hour | Demand (MW) |
|---|---|
| Wed 14:00 | 124.2 |
| Thu 15:00 | 121.8 |
| Tue 16:00 | 119.4 |
| Fri 13:00 | 117.1 |
| Mon 14:00 | 115.0 |
From data to production forecast in four steps
Fully automated · Under an hour · No data science team required
01 / 04
Upload or connect
Upload your dataset or connect your live database. Structure, features, and missing values handled automatically.
energy_dataset.csv
2.4 MB · Uploaded
02 / 04
Domain detection & analysis
AI detects your energy domain automatically from data patterns. Time frequency, seasonality, and model family selected instantly.
03 / 04
Model building
AutoML trains with time-aware cross-validation and automatic feature engineering. Live progress, no code needed.
Train accuracy
95.1%
Val accuracy
94.2%
MAPE
3.2%
Overfitting
Passed
04 / 04
Insights & action
Demand curves with confidence intervals, feature importance, and plain English summaries your ops team can act on.
12‑mo grid demand
94.2%
F1 Score
0.91
Export
Ready
Use Cases
Forecasts that survive the trading desk, risk you see before redispatch, and load that moves when tariffs do — the sharp edge of energy data, modeled on your timelines.
Day-ahead load forecasting
Hourly and daily demand curves for operations and market bids.
Solar / wind generation forecast
Probabilistic renewable output for scheduling and balancing.
Energy theft / meter fraud detection
Anomaly detection on consumption, reads, and metering patterns.
Predictive maintenance (turbines)
Failure risk and RUL from vibration, temperature, and SCADA.
Demand response baseline modeling
Counterfactual baselines for verification and settlement.
Short-term electricity price forecast
Intraday and day-ahead price paths for trading and hedging.
Pricing
Choose the plan that fits your team
Premium
Pilot shadow mode
10% of savings
- Up to 10 projects
- 25 model trainings/month
- AI insights & plain English results
- Email support
- PDF & CSV export
Enterprise
Value based
$100K/year
- Unlimited projects
- Live data connectors
- Real-time predictions & drift detection
- Team collaboration & sharing
- Priority support
Enterprise
Gain-share larger deals
25% of verified reductions
- Unlimited everything
- Custom data integrations
- Dedicated live pipeline support
- Dedicated engineer
- 90-day performance guarantee
The grid is getting smarter. Is your forecasting keeping up?
Upload your data and get your first demand forecast in minutes — no ML expertise required.
Enterprise-grade security·Dedicated support available