Predict.ai vs Revimize
Predict.ai
predict.aiRevimize
revimize.comSide by side
| Figure | Predict.ai | Revimize |
|---|---|---|
| Price from | $149/mo | €90/mo |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 4 | 5 |
| Spec score · Revenue Intelligence Software | 8.0 (#12) | 7.1 (#25) |
| Purpose | Predict.ai finds drivers behind business outcomes, tests competing models on historical data, and keeps live forecasts current. | Revimize is AI revenue intelligence software for SMB and mid-market teams that analyzes business knowledge, historical outcomes, customer patterns and current revenue signals. |
| Security | The security page states data in transit uses TLS 1.2 or higher and customer content and backups are encrypted at rest using AES-256 or equivalent. | The maker states that Revimize uses EU-based Microsoft Azure hosting, encryption in transit and at rest, dedicated logically isolated customer tenants and SOC 2 aligned controls. |
| Support | The contact page invites product, sales, enterprise, security, and partnership inquiries by email and says it offers a real reply. | Revimize lists [email protected] as its contact email and says it replies within one business day. |
Plans
Predict.ai
- FreeFree
- Starter$149 a month
- Team$2,499 a month
- EnterprisePriced on request
Revimize
- Trial€90 a month
- Revimize AI Workspace€99 a month
- Team€990 a month
- Growth€2,499 a month
- Scale€7,990 a month
In their own words
Predict.ai
Predict.ai finds possible drivers of business outcomes, compares forecasting models against historical data, and updates deployed forecasts as incoming data changes. Users select an outcome and forecast horizon; the platform searches for drivers, backtests models, deploys a result, and reevaluates it over time. Its workspace surfaces trends, anomalies, recurring patterns, correlations, lead-lag relationships, and leading indicators. Scenario tools let users alter a driver or schedule an event to compare a forecast with its baseline, but this does not establish causation. Data inputs include uploads, REST, Kafka, S3, BigQuery, PostgreSQL, and webhooks. Forecasts can be served through hosted REST, streaming, or batch inference endpoints, with quantile bands in responses. The maker also lists a REST API, Python and TypeScript SDKs, WebSockets, and MCP support for AI agents. The Free plan costs nothing and is capped at 500 credits monthly. Starter costs $149 a month, and Team costs $2,499 a month. Predict.ai says workspace data is isolated and not used to train shared or other customers' models.