Connect Fireflies and
Snowflake with AI

Automatically sync meeting transcripts, conversation intelligence, and sales call data from Fireflies into Snowflake for centralized analysis. Stop manually exporting call logs or rebuilding conversation datasets — let Redbird keep your data warehouse updated in real time.

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.

Stream sales call transcripts and metadata to Snowflake tables automatically

Every completed call in Fireflies triggers an automatic sync to Snowflake, populating structured tables with transcript text, participant details, duration, and timestamps. Revenue and sales ops teams get a complete, queryable repository of customer conversations without manual exports or CSV uploads.

Centralize extracted action items and key moments across all meetings

Fireflies identifies action items, questions, and key moments during calls — Redbird maps these insights to normalized Snowflake schemas. Product and customer success teams can query themes, commitments, and objections across thousands of conversations using standard SQL.

Build conversation intelligence dashboards on live meeting data

Sync speaker talk ratios, sentiment scores, and conversation patterns from Fireflies into Snowflake to power BI tools and data science models. Sales leaders analyze rep performance, coaching opportunities, and deal velocity without piecing together disparate exports.

Enrich CRM pipeline data with call transcript context in Snowflake

Combine Fireflies conversation data with opportunity and account records already in Snowflake. Analytics teams join call transcripts to deal stages, close dates, and revenue to identify which conversation patterns correlate with won deals.

Archive meeting recordings and transcripts for compliance and audit

Automatically route Fireflies call data into Snowflake retention tables configured for regulatory compliance. Legal and compliance teams maintain tamper-proof, timestamped records of customer interactions without manual archival processes.

Trigger Fireflies call analysis when new warehouse records meet criteria

When Snowflake detects high-value opportunities or churn risk signals in your data warehouse, Redbird can trigger Fireflies to prioritize those accounts for deeper conversation analysis or flag related calls for review.

Live in four steps

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

01

Connect your accounts

Authorize Fireflies and Snowflake 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 Fireflies conversation schemas and Snowflake table structures, so you get accurate, analysis-ready data without wrestling with JSON exports or custom ETL pipelines.

AI that maps conversation data to warehouse schemas automatically

Redbird parses Fireflies transcript objects, speaker arrays, and sentiment metadata — then intelligently structures them into Snowflake tables optimized for joins and queries. The platform handles nested JSON from meeting summaries, normalizes participant identities across calls, and creates foreign keys linking transcripts to topics and action items. When Fireflies adds new data fields or Snowflake schemas evolve, Redbird adapts mappings without breaking existing pipelines.

Transcript text & timestamps
Speaker attribution & talk time
Action items & key moments
Sentiment & conversation metrics
10×

faster than building custom ETL for conversation data

No Python scripts to parse Fireflies JSON, no dbt models to normalize transcripts, no cron jobs to maintain sync schedules.

Auto-generated reports

Redbird can pull from Fireflies and Snowflake 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 Fireflies or Snowflake.

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 Fireflies into Snowflake, or from Snowflake back into Fireflies. 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 any meeting event in Fireflies or any data change in Snowflake — Redbird handles the rest.

Fireflies
Triggers & Actions
Trigger

Meeting recording completed

Fires when Fireflies finishes recording and transcribing a call, ready to sync structured data.

Trigger

Transcript processed and analyzed

Triggers when Fireflies completes AI analysis and extracts action items, topics, and sentiment.

Trigger

Action item detected in call

Fires when Fireflies identifies a new action item, question, or commitment during conversation analysis.

Action

Tag or categorize meeting

Apply custom tags or categories to Fireflies meetings based on warehouse data or external signals.

Action

Update meeting metadata

Write back enriched data or classification labels to Fireflies meeting records from Snowflake insights.

Action

Create playlist or collection

Automatically group Fireflies calls into thematic playlists based on Snowflake query results or model outputs.

Snowflake
Triggers & Actions
Trigger

New row inserted into table

Fires when fresh data arrives in a Snowflake table, enabling downstream conversation analysis workflows.

Trigger

Query result threshold met

Triggers when a scheduled Snowflake query crosses a defined threshold or detects an anomaly pattern.

Trigger

Data quality check fails

Fires when Snowflake data validation rules detect missing or malformed conversation records.

Action

Insert structured call data

Write Fireflies transcript text, metadata, and insights into Snowflake tables as normalized rows.

Action

Update existing transcript records

Append new analysis results or enriched attributes to existing Snowflake conversation data.

Action

Execute analytical query

Run SQL queries in Snowflake to aggregate conversation metrics or join call data with CRM records.

Fireflies
+
Snowflake

Ready to connect your stack?

Sync Fireflies conversation data to Snowflake automatically and unlock analytics on every customer conversation. Redbird handles the mapping, transformation, and ongoing maintenance — you focus on insights.

Get started → Book a demo