Redbird AI automates the flow between your customer data platform and cloud storage. Stop manually exporting Segment events to S3 or staging files for customer profile enrichment. Let AI handle the sync, transformation, and routing so your data stays current across both systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture customer behavioral events from Segment and write them to versioned S3 buckets organized by date and event type. Redbird structures the data for efficient querying and maintains audit trails for GDPR and compliance requirements.
Pull customer demographic data, purchase history, or ML model scores from CSV or Parquet files in S3 and push them as traits into Segment user profiles. Redbird maps file columns to Segment's schema and handles incremental updates so profiles stay enriched in real time.
When Segment delivers warehouse exports, Redbird automatically moves those files to designated S3 buckets for downstream ETL jobs or analytics workflows. This creates a reliable handoff between your CDP and data engineering pipelines without manual file transfers.
Import partner data, lookalike audiences, or offline conversion files stored in S3 directly into Segment as track events or identify calls. Redbird validates the data schema, deduplicates records, and batches uploads so your marketing tools receive clean, actionable segments.
Monitor daily event counts in your S3 Segment archive buckets and trigger alerts when volumes fall outside expected ranges. Redbird compares current file sizes and record counts against historical baselines to catch tracking outages or data quality issues before they impact reporting.
Run AI models on customer data stored in S3, extract predictive scores or behavioral features, and write them back to Segment as user traits. Redbird orchestrates the full cycle — from S3 file detection to model inference to Segment API calls — so your personalization engines always have fresh signals.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 and Segment 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 Segment's event spec, user traits, and tracking API alongside S3's object structure, partitioning schemes, and file formats so your customer data flows seamlessly between storage and activation.
Redbird natively parses Segment's track, identify, page, and group calls while simultaneously reading CSV, JSON, Parquet, and Avro files in S3. It automatically maps S3 file columns to Segment properties, handles nested event structures, and manages batch vs. streaming writes. Whether you're archiving millions of events or enriching profiles from data lake files, Redbird orchestrates the transformation logic without custom code.
faster than building custom Lambda functions for S3-to-Segment sync
Redbird can pull from Amazon S3 and Segment 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 Amazon S3 or Segment.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Amazon S3 into Segment, or from Segment back into Amazon S3. 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 S3 file upload or Segment event stream, then orchestrate actions across both platforms and the rest of your stack.
Trigger when a new object is created in a specified S3 bucket or prefix path.
Detect when an existing S3 object is updated or overwritten with new data.
Run on a schedule to check for new or changed files matching specific patterns.
Write data to a specified bucket and key with configurable metadata and storage class.
Retrieve file contents and parse CSV, JSON, Parquet, or other formats into structured data.
Transfer files across S3 locations with optional transformation or filtering.
Trigger when a specific customer action is tracked through Segment's event stream.
Respond when a user profile is created or traits are updated via Segment's identify call.
Detect when event counts for a source or event type exceed or drop below defined limits.
Push a custom event with properties into Segment for routing to downstream tools.
Write or update profile attributes for a user via Segment's identify API.
Associate users with accounts or organizations and set group-level traits in Segment.
Redbird AI syncs Amazon S3 and Segment in minutes, not sprints. Connect your customer data platform to your data lake and let AI automate the pipelines your team has been building by hand.