Redbird AI automates the flow of market data, company fundamentals, and economic indicators from Bloomberg Terminal into your Redshift data warehouse. Stop exporting CSVs, building brittle ETL scripts, and babysitting data pipelines — let AI handle the sync, transformation, and table management across your financial data stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture intraday market data from Bloomberg and write it to time-series optimized Redshift tables. Redbird handles schema evolution, batch sizing, and compression settings so your quantitative analysts always query fresh data without manual pipeline maintenance.
When companies report earnings or file statements in Bloomberg, Redbird detects the event and pulls updated income statements, balance sheets, and cash flow data into your Redshift warehouse. Financial analysts get standardized, queryable datasets without manual Bloomberg downloads.
Automatically pull macroeconomic data series—GDP, inflation, employment—from Bloomberg and store them in Redshift with proper temporal versioning. Quant teams can backtest models against decades of indicators without rebuilding datasets from scratch each time.
Push position data stored in Redshift back to Bloomberg for portfolio risk analysis, VaR calculations, and stress testing. Redbird maps your warehouse schema to Bloomberg's expected formats so risk teams work with consistent, current holdings.
When new transactions land in your Redshift tables, Redbird automatically fetches relevant exchange rates, commodity prices, or index levels from Bloomberg at transaction time. Finance teams get mark-to-market valuations without manual lookups or stale reference data.
Run scheduled queries in Redshift for portfolio concentration, sector exposure, or performance metrics—then trigger Bloomberg notifications or update watchlists when thresholds are crossed. Trading desks stay informed without constantly monitoring dashboards.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Bloomberg and Redshift 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 Bloomberg's market data structures and Redshift's columnar storage patterns, so you can automate complex financial data workflows without writing custom integration code.
Redbird learns Bloomberg's security identifiers (tickers, ISINs, CUSIPs), field mnemonics, and data hierarchies alongside your Redshift table schemas, distribution keys, and sort keys. It automatically maps Bloomberg time series to optimized Redshift column types, handles corporate actions and security master updates, and manages incremental loads without overwriting historical snapshots. When Bloomberg schema changes or you add new data fields, Redbird adapts your warehouse tables intelligently.
faster than building custom Bloomberg-to-Redshift ETL pipelines
Redbird can pull from Bloomberg and Redshift 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 Bloomberg or Redshift.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Bloomberg into Redshift, or from Redshift back into Bloomberg. 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 any Bloomberg market event or Redshift data change—Redbird connects the dots across your financial data infrastructure.
Fires when real-time price, volume, or quote data updates for specified securities or indices.
Triggers when a company reports earnings or files updated financials in Bloomberg.
Detects when new macroeconomic data points (CPI, GDP, employment) are published.
Retrieve company financials, ratios, or descriptive data for specified tickers or ISINs.
Download time-series market data for securities, indices, or commodities across specified date ranges.
Add or remove securities from a Bloomberg Terminal watchlist based on data conditions.
Fires when fresh data lands in a specified Redshift table or schema.
Triggers when a recurring analytical query finishes, returning results for downstream actions.
Detects when query results indicate missing data, outliers, or schema changes in your warehouse.
Insert or upsert rows into specified tables with automatic schema mapping and type conversion.
Run analytical queries with dynamic inputs, returning results for enrichment or reporting workflows.
Manage Redshift views that transform or aggregate data for BI tools and analysts.
Stop building custom Bloomberg data pipelines. Redbird AI syncs market data, fundamentals, and economic indicators to Redshift automatically—so your quant and finance teams work with fresh, queryable datasets instead of spreadsheets and scripts.