Redbird automates the repetitive data work that consumes your team's time — so analysts can focus on insight, not data prep.
Analysts spend the majority of their time pulling data, cleaning it, and reformatting outputs — not analyzing. Every new stakeholder request means another round of copy-paste.
Weekly, monthly, and quarterly reports are rebuilt from scratch every cycle. Minor data source changes break pipelines and delay delivery by days.
Every team in the company wants data faster than your team can deliver it. You can't hire your way out — you need to multiply what your existing analysts can do.
Connect to any data source — cloud warehouses, SaaS tools, spreadsheets, APIs — without writing ETL pipelines. Redbird handles ingestion through natural language instructions.
Clean, join, reshape, and enrich raw data automatically. Describe what you need in plain English; Redbird builds and documents the transformation logic.
Run statistical analysis, trend detection, segmentation, and forecasting without SQL or code. Ask questions conversationally and get structured, auditable results.
Auto-generate polished outputs — PowerPoint decks, Excel workbooks, Word reports, or live web dashboards — directly from the workflow. No copy-paste required.
Every agent action is logged and visible. Stakeholders can inspect exactly what data was used, how it was transformed, and what logic was applied — building the trust that makes analytics credible.
Pull KPIs from your data warehouse, compare against targets, flag anomalies, and publish a formatted executive summary — on a fixed schedule, with zero manual effort.
Answer stakeholder questions ("What drove the Q3 drop in conversion?") through a conversational interface that queries your data, runs the analysis, and returns a structured answer.
Automatically join and reconcile data from multiple systems — CRM, warehouse, spreadsheets — surface discrepancies, and deliver a clean merged dataset.
Define customer or user segments in plain language, apply consistent logic across time periods, and generate comparison outputs ready for presentation.
Replace manual dashboard updates with automated data pulls that refresh charts and tables on a set cadence — no BI engineer required.
Ingest data from multiple external and internal sources, normalize the formats, run comparisons, and produce a structured benchmarking output on demand.
Works with every tool your team relies on today — and anything you add tomorrow.
Join the other teams already running automated analytics workflows on Redbird.