Redbird AI automates the flow between your cloud data warehouse and private market intelligence. Stop exporting PitchBook datasets to CSV, manually loading funding data into BigQuery, or writing custom ETL scripts to keep investment analytics current.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull newly announced funding rounds, valuations, and investor details from PitchBook into your BigQuery data warehouse. Redbird normalizes deal terms, investor lists, and sector tags so your analytics models always reflect the latest private market activity without manual data entry.
Match companies in your BigQuery tables to PitchBook profiles and append revenue estimates, employee counts, cap tables, and board composition. Redbird handles fuzzy matching across company names and identifiers, then writes structured financial and ownership data back to your warehouse for unified analysis.
Run machine learning models in BigQuery to score investment opportunities, then write those scores and signals directly to custom fields in PitchBook company profiles. Your investment team sees model-driven prioritization inside their research workflow without switching tools or exporting spreadsheets.
Monitor PitchBook data stored in BigQuery for sudden valuation changes, unexpected funding events, or competitor activity that meets your thresholds. Redbird runs queries on your schedule, identifies material changes, and routes alerts with context to Slack or email so teams can act on market intelligence immediately.
Systematically capture M&A transactions, valuations, and deal structures from PitchBook into BigQuery as your historical dataset. Redbird maintains schema consistency across deal types and time periods, building a queryable archive for trend analysis, sector benchmarking, and investment thesis validation.
Pull competitor and sector-specific funding data from PitchBook into BigQuery, then generate automated summary reports that track deal velocity, investor participation, and valuation trends. Redbird refreshes the underlying data, runs your SQL analytics, and distributes formatted insights to stakeholders on schedule.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and PitchBook 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 BigQuery table schemas and PitchBook's private market data model — from funding round structures to cap table relationships — so your data flows intelligently without custom code.
Redbird maps PitchBook's funding round objects, investor hierarchies, and company financials to your BigQuery table structures automatically. It normalizes deal stages, currency conversions, and investor classifications while preserving data lineage. When PitchBook adds new data fields or your BigQuery schema evolves, Redbird adapts the pipeline without breaking. You get clean, analytics-ready private market data in your warehouse without writing transformation logic.
faster than building PitchBook-to-BigQuery ETL with Python scripts and scheduled jobs
Redbird can pull from BigQuery and PitchBook 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 BigQuery or PitchBook.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into PitchBook, or from PitchBook back into BigQuery. 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 new deals in PitchBook or fresh analytics in BigQuery — Redbird connects every event across both platforms.
Trigger when data is added to any BigQuery table, such as new companies, ML scores, or aggregated metrics.
Run a scheduled SQL query and trigger when results exceed defined thresholds or match conditions.
Detect when BigQuery table schemas change, such as new columns or modified data types.
Write new records to BigQuery tables with mapped fields from PitchBook or other sources.
Modify specific rows in BigQuery tables based on matching keys or conditions.
Run custom SQL queries for transformations, aggregations, or data quality checks.
Trigger when PitchBook records a new funding event for companies matching your criteria or watchlists.
Detect changes to company financials, employee counts, leadership, or other profile data in PitchBook.
Start workflows when new mergers, acquisitions, or exit events are logged in PitchBook's deal database.
Write notes and annotations to PitchBook company profiles with context from BigQuery analytics.
Programmatically add companies to PitchBook lists based on model outputs or query results from BigQuery.
Write custom data points like scores, tags, or classifications to PitchBook company custom fields.
Sync BigQuery with PitchBook in minutes. Redbird AI automates the data pipelines between your cloud warehouse and private market research so your investment team works from a single source of truth.