Clive vs Predict.ai
Clive
cliveapp.aiPredict.ai
predict.aiSide by side
| Figure | Clive | Predict.ai |
|---|---|---|
| Price from | $224/mo | $149/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 5 | 4 |
| Spec score · Revenue Planning Software | 9.0 (#2) | 8.0 (#7) |
| Purpose | Clive is an AI modeling system for FP&A teams to build financial models, reports, and views. | Predict.ai finds drivers behind business outcomes, tests competing models on historical data, and keeps live forecasts current. |
Plans
Clive
- FreeFree
- Starter$224 a month
- Growth$960 a month
- Professional$2,000 a month
- EnterprisePriced on request
Predict.ai
- FreeFree
- Starter$149 a month
- Team$2,499 a month
- EnterprisePriced on request
In their own words
Clive
Clive is an AI modeling system for FP&A teams to build financial models, reports, and views. Users can describe a model or report in plain language, then edit the modeling blocks assembled by its AI co-builder. Its engine is designed to return the same result for the same inputs. Teams can edit together in real time, comment, receive notifications, and review version history. Clive supports financial forecasting and scenario planning across dimensions such as segment, team, territory, account, industry, and region. It connects to ERP, HRIS, CRM, data, and BI systems, as well as Excel, Google Sheets, and CSV; the integrations page lists 50+ native connectors. Data can refresh on a schedule or on demand, with integration status monitoring. A public API and MCP access support querying live model data and performing supported actions from connected tools. Clive says customer data is encrypted, hosted in AWS facilities in the USA, and excluded from partner use including model training. The Free plan is a 1-week trial with monthly AI and compute credits; Starter is $224 a month billed annually.
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.