Automatically sync call transcripts, meeting intelligence, and conversation data from Fireflies into BigQuery for analysis. Stop manually exporting CSVs or building fragile API scripts to get meeting insights into your data warehouse.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Every sales call, customer interview, or team meeting recorded in Fireflies flows directly into structured BigQuery tables. Redbird handles schema mapping for speakers, timestamps, topics, action items, and sentiment scores without custom ETL.
Before each call, automatically pull customer history, product usage data, and deal stage from your BigQuery warehouse into Fireflies meeting notes. Sales reps get contextual briefs without switching systems or manual research.
Combine Fireflies talk ratios, keyword mentions, and sentiment with deal velocity and win rates from your BigQuery data stack. Analyze which conversation patterns actually drive revenue across thousands of calls.
Maintain a complete, queryable archive of every customer and internal conversation in your data warehouse. Meet retention policies and enable legal discovery with timestamped, searchable records stored alongside business data.
Redbird monitors Fireflies transcripts flowing into BigQuery and triggers alerts when competitor names, pricing objections, or churn signals exceed thresholds. Surface at-risk accounts before they're lost.
Use BigQuery ML on thousands of Fireflies transcripts to identify conversation patterns that correlate with closed-won deals. Score active opportunities based on language, questions asked, and engagement metrics.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Fireflies 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 Fireflies' conversation data structures and BigQuery's columnar schema requirements, so meeting intelligence flows seamlessly into your warehouse without custom transformations.
Redbird automatically maps Fireflies' nested JSON—speaker segments, topic tags, action items, sentiment scores—into normalized BigQuery tables optimized for analytical queries. It handles schema evolution when Fireflies adds new metadata fields, partitions tables by call date for performance, and denormalizes speaker arrays into queryable rows. No dbt models or Airflow DAGs required.
faster than building Fireflies-to-BigQuery ETL with custom Python scripts
Redbird can pull from BigQuery and Fireflies 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 Fireflies.
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 Fireflies, or from Fireflies 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 from any event in BigQuery or Fireflies—Redbird orchestrates the rest across your entire stack.
Trigger when fresh data lands in any BigQuery table, like updated customer segments or product usage cohorts.
React when a BigQuery scheduled query finishes, such as nightly aggregations or weekly reporting rollups.
Trigger when a table grows beyond a specific size, indicating data volume milestones or anomalies.
Write structured data from Fireflies or any tool directly into BigQuery tables with automatic schema validation.
Run dynamic queries against BigQuery datasets using data from workflows, like filtering by customer ID or date range.
Manage BigQuery table partitions programmatically to optimize query performance and storage costs.
Trigger when Fireflies finishes recording and transcribing a meeting, making transcript and metadata available.
React when Fireflies AI identifies a to-do, follow-up, or commitment during a conversation.
Trigger when specific terms—competitor names, product features, objections—appear in meeting transcripts.
Append contextual information from BigQuery—customer history, deal status—directly into Fireflies meeting records.
Programmatically tag Fireflies calls with categories based on BigQuery analysis, like account tier or product line.
Generate and store custom summaries in Fireflies using insights derived from BigQuery data models.
Stop building custom ETL to get conversation intelligence into your warehouse. Redbird syncs Fireflies and BigQuery automatically so you can analyze every customer interaction at scale.