Predict.ai
predict.ai
What it is
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.
Spec sheet
- Purpose
- Predict.ai finds drivers behind business outcomes, tests competing models on historical data, and keeps live forecasts current.Read 4 Oct 2026 · predict.ai
- Intended users
- The maker describes Starter as for solo builders shipping into production, Team as for teams shipping forecasts together, and Enterprise as for mission-critical, regulated, or very large workloads.Read 4 Oct 2026 · predict.ai
- 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.Read 4 Oct 2026 · predict.ai
- Support
- The contact page invites product, sales, enterprise, security, and partnership inquiries by email and says it offers a real reply.Read 4 Oct 2026 · predict.ai
- Founded
- 2026Read 28 Sep 2026 · predict.ai
- Analytics
- The workspace surfaces trends, anomalies, recurring rhythms, correlations, lead-lag relationships, and leading indicators across connected signals.Read 4 Oct 2026 · predict.ai
- API and agents
- The maker lists a REST API, Python SDK, TypeScript SDK, WebSockets, and MCP support for AI agents.Read 4 Oct 2026 · predict.ai
- Data inputs
- The maker lists file uploads, REST, Kafka, S3, BigQuery, PostgreSQL, and webhooks as data sources.Read 4 Oct 2026 · predict.ai
- Data isolation
- Predict.ai states workspace data is isolated and is not used to train shared models or models for other customers.Read 4 Oct 2026 · predict.ai
- Forecasting
- The platform selects an outcome and forecast horizon, searches for useful drivers, backtests multiple models, deploys a result, and reevaluates it as data changes.Read 4 Oct 2026 · predict.ai
- Notable limits
- The Free tier is hard-capped at 500 credits per month; Starter and Team charge $0.01 per credit for usage above included credits.Read 4 Oct 2026 · predict.ai
- Regional storage
- The maker says each workspace has a home region and that EU-region workspace content remains within the European Union unless the customer instructs otherwise.Read 4 Oct 2026 · predict.ai
- Scenarios
- Users can change a driver or schedule an event to compare a scenario forecast with the baseline, and the page cautions that this does not prove causation.Read 4 Oct 2026 · predict.ai
- Serving
- Forecasts can be served through hosted endpoints using REST, streaming, or batch inference, with quantile bands in responses.Read 4 Oct 2026 · predict.ai
Plans and prices
Strong points and limits
Strong points
- Backtests multiple models against historical data.
- Supports scenario comparisons against a baseline.
- Connects to databases, streams, files, and webhooks.
- Provides REST, SDK, WebSocket, and MCP access.
Limits
- Free tier is capped at 500 credits per month.
- Starter costs $149 a month.
- Team costs $2,499 a month.
- Scenario comparisons do not prove causation.
Who it suits
Predict.ai is aimed at builders and teams shipping forecasts, with an Enterprise option described for regulated, mission-critical, or very large workloads. It may suit users who need model backtesting, scenario comparisons, and forecast-serving interfaces.
Verdict
Predict.ai combines forecast development, monitoring, and several ways to serve results. Check the credit allowances and plan limits against expected usage, and treat scenario output as comparison rather than proof of cause.
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