DealRadar vs Predict.ai
DealRadar
trydealradar.comPredict.ai
predict.aiSide by side
| Figure | DealRadar | Predict.ai |
|---|---|---|
| Price from | $99/mo | $149/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 4 |
| Spec score · Revenue Intelligence Software | 8.3 (#8) | 8.0 (#12) |
| Support | Enterprise includes dedicated onboarding plus SLA and priority support. | The contact page invites product, sales, enterprise, security, and partnership inquiries by email and says it offers a real reply. |
Plans
Predict.ai
- FreeFree
- Starter$149 a month
- Team$2,499 a month
- EnterprisePriced on request
In their own words
DealRadar
DealRadar monitors sales pipelines, identifies stalled deals, and recommends next steps. Its analysis uses Claude to identify buying signals, risks, objections, and stall patterns, then gives each deal a health score from 0 to 100. Teams can use Deal Analyzer, Today View, Pipeline View, RevOps Copilot, and Manager Dashboard. Autonomous mode can draft emails, alert Slack, update CRM stages, and escalate risks within configured guardrails. Salesforce and HubSpot connect through one-click OAuth; the site says first scored deals can be available within 60 seconds. Users can also paste deal notes, emails, or call summaries without connecting a CRM. Listed integrations include Gong, Zoom, Apollo, Zapier, REST API, and webhooks. DealRadar says data is encrypted at rest with AES-256 and traffic uses TLS 1.3; it also says customer deal data is not used to train AI models or pooled, shared, or sold. The Free plan includes five deal analyses. Starter costs $99 a month; Growth costs $499 a month, and Enterprise costs $2,000 a month.
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.