Stop manually exporting model predictions, syncing account scores, or copying analytics between your lakehouse and CRM. Redbird AI connects Databricks and Salesforce so data teams can deploy ML directly to revenue workflows and sales teams always work with fresh intelligence.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Train propensity and churn models in Databricks, then automatically write prediction scores to corresponding Lead and Account objects in Salesforce. Sales reps see AI-driven insights without leaving the CRM, and models stay in production without manual CSV uploads.
Surface aggregated usage metrics, feature adoption trends, and engagement scores computed in your lakehouse directly onto Account and Opportunity records. Revenue teams get a complete view of customer health without querying data warehouses or waiting for reports.
Capture deal outcomes, stage changes, and field updates from Salesforce and land them in Delta tables for feature engineering. Keep your ML pipelines fed with fresh CRM signals so prediction accuracy improves with every closed deal.
Run churn detection or anomaly models in Databricks, then create Tasks or update custom fields in Salesforce when thresholds are breached. Account executives get proactive alerts to intervene before renewals are lost, all triggered by lakehouse analytics.
Combine pipeline data from Salesforce with time-series forecasts and propensity models running in Databricks. Automatically update dashboards and custom report objects so leadership sees ML-enhanced pipeline predictions alongside standard CRM metrics.
Stream Campaign Member activity, email opens, and event attendance from Salesforce into Delta tables for real-time feature engineering. Marketing signals become ML features without batch exports, powering next-best-action and personalization models.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks and Salesforce with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands Databricks table schemas and Salesforce object relationships, so you can automate between your lakehouse and CRM without building custom connectors or managing API mappings.
Redbird natively understands Delta table structures, feature store metadata, and Databricks job outputs alongside Salesforce standard and custom objects, relationships, and field types. Map model predictions to Account scores, sync behavioral features to custom fields, or route scoring results to Opportunity stages — all without writing integration code. The platform handles schema drift, API rate limits, and incremental syncs so your ML insights flow directly into revenue workflows.
faster than building custom Databricks-to-Salesforce pipelines with Airflow and API scripts
Redbird can pull from Databricks and Salesforce simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Databricks or Salesforce.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Databricks into Salesforce, or from Salesforce back into Databricks. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from model runs in Databricks or record updates in Salesforce — Redbird connects both directions in real time.
Trigger when an ETL pipeline, notebook, or ML training job finishes running successfully.
Detect when new records land in a specified Delta table or view in your lakehouse.
Trigger when a feature store or model serving endpoint writes new prediction scores.
Update Account, Lead, or Opportunity fields with model scores or segmentation labels.
Generate follow-up tasks or support cases in Salesforce based on lakehouse analytics.
Populate custom reporting tables or dashboard objects with aggregated metrics from Databricks.
Trigger when a deal moves stages, closes, or hits a key milestone in the sales pipeline.
Detect when a new Lead or Account record is added to Salesforce by sales or marketing.
Watch for changes to specific fields like health score, renewal date, or contract value.
Stream Salesforce record changes into Delta tables for feature engineering and model training.
Kick off a data pipeline or scoring job in Databricks when CRM activity occurs.
Write Salesforce engagement and relationship data into Databricks feature tables in real time.
See how Redbird AI syncs Databricks and Salesforce in minutes. Deploy ML predictions to your CRM and feed revenue signals back to your lakehouse without custom pipeline code.