Pecan AI
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AI-powered predictive modeling for everyone
Company information
About
Pecan AI is a predictive analytics platform designed for business analysts and data-driven teams to effortlessly generate accurate, actionable forecasts using AI. With its no-code interface and robust automation capabilities, Pecan empowers users to make proactive, data-backed decisions without requiring deep technical expertise. By seamlessly connecting to existing data sources, it transforms raw data into ready-to-use predictive models, accelerating time to insight and boosting operational efficiency. Learn more at https://www.pecan.ai.
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Features
- No-code predictive modeling
- Automated data preprocessing
- Time series forecasting
- Customer churn prediction
- Demand forecasting
- Marketing optimization
- Data source integration
- Model performance monitoring
- Scenario analysis
- Real-time prediction API
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ServiceScore
Pecan AI is a predictive analytics platform designed for business analysts and data-driven teams to effortlessly generate accurate, actionable forecasts using AI. With its no-code interface and robust automation capabilities, Pecan empowers users to make proactive, data-backed decisions without requiring deep technical expertise. By seamlessly connecting to existing data sources, it transforms raw data into ready-to-use predictive models, accelerating time to insight and boosting operational efficiency. Learn more at https://www.pecan.ai.
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Pecan AI
Pricing tiers
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View pricing page ↗View pricing page ↗Starter
$950/mo
- Model trainings - 20
- Monthly models in production - 1
- Monthly predictions batches - 2
- Storage - 500M rows
- Support & enablement - In-app
Business
$1,750/mo
- Model trainings - 40
- Monthly models in production - 3
- Monthly predictions batches - 15
- Storage - 2Bn rows
- Support & enablement - In-app + Essential enablement
Enterprise
$2,500/mo
- Model trainings - 100
- Monthly models in production - 7
- Monthly predictions batches - 90
- Storage- 5Bn rows
- Support & enablement -In-app + Pro enablement
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