Pecan AI
Predictive AI for business teams — ask a question, get a prediction, act with confidence
Key strengths
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Pecan AI – Documentation & Integration Notes
API: Pecan AI exposes an API, enabling developers to programmatically retrieve predictions and integrate them into internal applications, pipelines, or orchestration systems.
Data source integrations: Pecan connects to a wide range of sources across categories:
- Cloud warehouses: Snowflake, Google BigQuery, Amazon Redshift, Databricks, Clickhouse
- Relational databases: PostgreSQL, MySQL, Microsoft SQL, Oracle, IBM Db2
- CRM & marketing: Salesforce, HubSpot
- Mobile & attribution: Firebase, Adjust, AppsFlyer, Singular
- File-based: Parquet files, GCS - Parquet, AWS S3
Automated pipeline: The platform manages data preparation, feature engineering, and model validation automatically — reducing the need for manual ML engineering work.
Deployment speed: Models are designed to go live in under a day.
Plan-level constraints:
- Starter: 2 prediction batches/month, 500M rows storage
- Team: 10 prediction batches/month, 2Bn rows storage
- Business: Custom batch volume, 5Bn rows storage
- Enterprise: Custom deployment, granular explainability, advanced monitoring, custom dashboards
Security: ISO 27001 certified, SOC 2 Type II audited, GDPR ready. Enterprise plans support special deployment configurations for additional compliance or infrastructure requirements.
All plans require contacting sales for access.