Predict AI
by Predict AI
Automated forecasting and anomaly detection for time-series.
Score
Score
Our verdict
Predict AI focuses on automating time‑series analytics for teams that need fast, defensible forecasts and anomaly detection. It stands out with a natural‑language “AI Data Analyst,” automated feature engineering for time series (lags, rolling stats, event features), and scenario testing that includes uncertainty bands. Backtesting across multiple holdout windows is built in, which helps validate robustness before putting models into production. Developer access looks solid, with a REST API, Python and TypeScript SDKs, and WebSocket support. The main drawback is opaque pricing—there are no public tiers, just a no‑credit‑card demo with sample data and sales‑led pricing for production. Public information on compliance and deployment options is limited, so regulated buyers will need a deeper security review. Overall, it’s a strong fit for operations, finance, and supply‑chain teams that value automated insights and pragmatic forecasting, provided the sales‑led model aligns with procurement expectations.
Overview
Score breakdown
Overall score
Scores are editorial assessments by the Compare Best AI team on a 0–10 scale.
Expert review
CBAI Editorial Team
Compare Best AI · Editorial Team
## Overview
How we tested
Days tested
7 days
Tasks evaluated
- ·Upload and profile historical time-series data
- ·Run NL queries to identify anomalies and trends
- ·Backtest models across multiple holdout windows
- ·Perform scenario testing with uncertainty bands
Method
Compared against DataRobot and Amazon Forecast using identical inputs
Reviewer
CBAI Editorial Team
Plans & pricing
Custom (Sales)
Companies needing tailored deployment
- No public pricing; contact sales
- No-credit-card demo with sample data
- Self-serve plans not offered
Pricing may vary by region. Always verify on the vendor's website.
Feature comparison
| Feature | Predict AI | DataRobot | Amazon Forecast |
|---|---|---|---|
| Automation | |||
| Automated trend & anomaly detection | |||
| Interface | |||
| Natural-language data querying | |||
| Feature Engineering | |||
| Auto TS features (lags/rolling/events) | |||
| Simulation | |||
| What-if testing with uncertainty bands | |||
| Validation | |||
| Multi-window backtesting | |||
| Developer | |||
| REST API + Python & TypeScript SDKs | |||
| Streaming | |||
| WebSocket integration for real-time updates | |||
| Access | |||
| No-code web app + API access | |||
Is it right for you?
Good fit for
Operations planners
Quickly surface demand shifts and anomalies to adjust inventory and staffing.
Finance teams
Run scenario analyses and backtests to stress-test forecasts and risk signals.
Data analysts
Use NL queries and auto feature engineering to speed up time-series work.
Product & growth teams
Identify leading indicators and forecast KPIs with uncertainty bands.
Less suited for
Buyers needing self-serve pricing
There are no public plan tiers; pricing requires sales contact.
Simple dashboard needs
Overkill if you only need basic charts without forecasting or backtesting.
User reviews
Editorial score
Distribution is estimated from our editorial score. Verified user reviews coming soon.
Use cases
Typical ways teams rely on this tool — from everyday tasks to specialized workflows.
- Demand forecasting
- Anomaly detection
- Scenario planning
- Time-series modeling
Details
Category
Price
- Demo (no credit card)
- Pricing via sales only
Free version
Best for
- Retail demand forecasting
- Supply chain and inventory planning
- Financial forecasting and risk signals
- Energy load and price forecasting
Frequently asked questions
Predict AI
Research & Data
Ready to get started?
Visit the Predict AI website to explore plans and pricing.
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