Connect FactSet and
Looker with AI

Redbird AI automates the flow of financial data from FactSet into Looker dashboards and analytics models. Stop manually exporting fundamentals, estimates, and portfolio data—let AI keep your investment analytics current and consistent across your reporting layer.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Sync daily company fundamentals and estimates to Looker data models

Automatically pull updated financials, earnings estimates, and consensus data from FactSet into your Looker explores. Redbird maps FactSet identifiers to your LookML dimensions, ensuring metrics stay consistent. Investment teams get refreshed dashboards without manual CSV exports.

Update portfolio holdings and performance metrics in Looker dashboards

Stream portfolio composition, returns, and attribution data from FactSet into Looker visualizations. Redbird handles position reconciliation and metric calculation. Portfolio managers see live performance against benchmarks without waiting for batch updates.

Alert analysts when earnings revisions impact Looker coverage universe

Trigger notifications when FactSet estimate revisions or rating changes occur for companies in your Looker sector models. Redbird cross-references ticker symbols and analyst coverage lists. Research teams react to material changes immediately.

Enrich Looker company records with FactSet ownership and institutional data

Append institutional holder positions, insider transactions, and ownership concentration metrics to your Looker company dimensions. Redbird joins FactSet ownership feeds to existing company tables by CUSIP, ISIN, or ticker. Analysts run governance and positioning queries without switching platforms.

Generate FactSet screening queries from Looker dashboard filter selections

When users apply specific filters in Looker exploration views, automatically create corresponding FactSet screening criteria to pull expanded datasets. Redbird translates LookML filter logic into FactSet query syntax. Analysts iterate between visualization and sourcing without rebuilding screens.

Archive FactSet point-in-time data snapshots for Looker historical analysis

Capture periodic snapshots of FactSet estimates, price targets, and ratings to build historical trend datasets in Looker. Redbird timestamps and versions each extract, preserving as-reported figures. Quant teams backtest models against actual consensus evolution, not restated data.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize FactSet and Looker with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands FactSet's financial data structures and Looker's semantic modeling layer, intelligently mapping securities identifiers, fundamentals, and estimates into governed LookML dimensions and measures.

AI that speaks both financial data and semantic modeling

Redbird's AI parses FactSet schemas—company fundamentals, normalized financials, estimate consensus objects, ownership structures—and automatically aligns them with your Looker explores and persistent derived tables. It handles identifier normalization across ticker symbols, CUSIPs, SEDOLs, and PermIDs, then maps FactSet metrics to corresponding LookML dimensions and type: number measures. When FactSet data structures change or you refactor LookML models, Redbird adapts field mappings and transformation logic without manual reconfiguration.

FactSet identifier normalization
LookML dimension mapping
Estimate consensus joins
PDT refresh orchestration
10×

faster than building custom ETL between FactSet APIs and Looker PDTs

No Python extraction scripts, schema mapping spreadsheets, or cron job maintenance required

Auto-generated reports

Redbird can pull from FactSet and Looker simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either FactSet or Looker.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from FactSet into Looker, or from Looker back into FactSet. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automations from earnings updates in FactSet or dashboard interactions in Looker—Redbird connects every event across your financial analytics stack.

FactSet
Triggers & Actions
Trigger

Estimate revision published

Fires when analyst consensus estimates update for tracked securities in FactSet.

Trigger

Portfolio holdings rebalanced

Triggers when portfolio composition changes or new positions appear in FactSet portfolio analytics.

Trigger

Ownership data refreshed

Activates when institutional holder or insider transaction data updates for covered companies.

Action

Query company fundamentals

Retrieve income statement, balance sheet, or cash flow data for specified tickers and periods.

Action

Pull screening results

Execute a saved FactSet screen or custom query and return matching securities list.

Action

Export time-series pricing

Extract historical price, volume, and returns data for securities and benchmarks.

Looker
Triggers & Actions
Trigger

Dashboard filter applied

Fires when a user applies specific dimension filters in a Looker explore or dashboard.

Trigger

Scheduled Look delivered

Triggers when a scheduled Looker report runs and generates result sets.

Trigger

Threshold alert crossed

Activates when a Looker metric crosses a defined threshold in scheduled data tests.

Action

Refresh persistent derived table

Trigger a rebuild of a specific PDT to incorporate newly synced FactSet data.

Action

Update LookML dimension values

Write new dimension members or metadata to Looker data tables via connected warehouse.

Action

Create dynamic explore

Generate or update a Looker explore definition based on incoming FactSet schema metadata.

FactSet
+
Looker

Ready to connect your stack?

Sync FactSet financial data with Looker analytics in minutes. Redbird AI handles the complexity of mapping securities identifiers, normalizing fundamentals, and keeping your LookML models current—so your investment team can focus on insights, not data plumbing.

Get started → Book a demo