Stop exporting CSVs or building custom pipelines to get your ML scores, customer analytics, and enrichment data into HubSpot. Redbird AI syncs Databricks outputs directly to your CRM — keeping contact properties, deal scores, and segmentation updated in real time.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Train lead scoring models in Databricks and automatically push predictions to HubSpot as custom contact properties. Sales reps see up-to-date scoring without manual exports. Models retrain and scores update on your schedule.
Run CLV and churn risk models in Databricks and write results back to HubSpot contact and company records. Marketing and CS teams segment based on data science outputs without needing to query the lakehouse.
Calculate product engagement scores, feature adoption metrics, and usage trends in Databricks, then sync to HubSpot deals and companies. Sales teams see product-led insights directly in their pipeline views.
Every new contact created in HubSpot flows into your Databricks lakehouse for feature store updates and model retraining. Keep your ML pipelines fed with fresh CRM data automatically.
Monitor propensity models running in Databricks and create HubSpot tasks or update deal stages when scores hit critical values. Revenue teams act on model signals the moment they matter.
Automatically stream closed-won and closed-lost deals from HubSpot into Databricks Delta tables. Build win/loss models, rep performance analytics, and forecasting on complete historical data.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks and HubSpot 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 AI understands both Databricks table schemas and HubSpot's CRM object model — so your ML outputs map to the right contact properties, deal fields, and company records automatically.
Redbird parses your Databricks Delta Lake table structures — column names, data types, partitioning — and maps them intelligently to HubSpot contact properties, custom fields, and associations. No manual field mapping spreadsheets. The AI detects when your model output schema changes and suggests property updates. It handles HubSpot's API rate limits, batch operations, and association logic so your data science work flows into CRM without engineering overhead.
faster than building custom Databricks-to-HubSpot sync pipelines
Redbird can pull from Databricks and HubSpot 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 HubSpot.
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 HubSpot, or from HubSpot 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 workflows from any Databricks job completion or HubSpot CRM event — Redbird handles the rest.
Trigger when a Databricks job finishes successfully, whether it's an ETL pipeline, model training run, or batch scoring job.
Detect when new rows are written to a specific Delta table or when partitions are added.
Fire when model outputs in a table exceed or fall below specified values for scoring or alerting.
Insert or upsert data from HubSpot into Databricks Delta tables with schema validation.
Execute a Databricks notebook with parameters passed from HubSpot trigger data.
Run SQL queries against Databricks SQL warehouses and use results in downstream workflow steps.
Trigger when new contacts are added to HubSpot or when specific contact properties change.
Fire when deals move through your pipeline stages or when deal properties are modified.
Detect new HubSpot form submissions to capture lead data for immediate enrichment or scoring.
Write model scores, analytics, or enrichment data to HubSpot contact properties in bulk or individually.
Push propensity scores, account analytics, or predictions to deal records and custom deal properties.
Segment contacts into HubSpot lists based on Databricks model outputs for targeted campaigns.
Start syncing Databricks ML outputs and analytics to HubSpot in minutes. No pipeline code, no API wrangling — just connect your accounts and let Redbird AI handle the rest.