Multi-Channel File Automation Platform
FileFeed is a multi-channel file ingestion and data processing platform designed to automate how teams collect, validate, transform, and deliver structured data from sources like SFTP, email, APIs, and cloud storage without building custom ETL pipelines.
Ingest files from SFTP, email, cloud storage, and API. Validate, map, and transform with AI. Deliver clean data to webhooks, SFTP, S3, or email, all without writing ETL code.
A complete inbound-to-outbound pipeline: multi-channel ingestion, AI-powered processing engine, and configurable outbound exports, purpose-built for recurring partner file workflows.
End-to-End Pipeline
Automated FileFeeds connects your inbound sources to your outbound destinations through an AI-powered processing engine.
Inbound
Processing
Outbound
Inbound
Accept files from any source your clients use. Every channel feeds into the same validation and transformation pipeline.
AWS-hosted managed SFTP with per-client folders, dedicated credentials, and IP allow-listing. Files are automatically picked up and routed to the correct pipeline.
Each pipeline gets a unique email address. Clients send files as attachments and they are automatically extracted and processed. Sender whitelist ensures only authorized senders can submit.
Watch S3 buckets, Google Drive folders, SharePoint libraries, or Dropbox directories. New files are automatically detected and processed through your pipeline.
Upload files programmatically via REST endpoint. Supports multipart file upload and batch processing for automated system-to-system integrations.
Legacy protocol support for enterprise clients that require traditional FTP or encrypted FTPS connections. Same pipeline processing as all other channels.
For manual, one-time uploads, use our free Embeddable Importer React SDK. Let your users drag-and-drop CSV/XLSX files directly in your app.
Processing
Every file passes through validation, AI-powered mapping, transformation, and formatting, all automatically.
AI analyzes incoming file headers and suggests field mappings to your target schema with confidence scores. The system learns from your mapping history to improve accuracy over time.
Enforce data quality with JSON Schema validation. Define required fields, data types, format patterns, and enum constraints. Every row is validated before delivery.
Apply built-in transformation functions or describe what you need in plain English. Convert date formats, normalize phone numbers, split names, or apply custom business logic.
Process files in any format your clients send. From standard CSV and Excel to PDF table extraction and EDI parsing for supply chain and healthcare data.
Automatically flag unusual patterns, statistical outliers, and duplicate records before they reach your system. Configurable thresholds and alerting.
Outbound
Generate files from processed data and deliver them anywhere. Configure output format, filename patterns, and delivery triggers.
Receive signed webhook events (FILE_PROCESSED, FILE_RECEIVED) with HMAC signatures and automatic retries.
Fetch processed JSON data via REST API with full query support by client, pipeline, and file name.
Push processed files to your own SFTP server or a client's SFTP with configurable paths and naming.
Deliver processed files directly to your S3 buckets with configurable prefixes and lifecycle rules.
Send processed files as email attachments to configured recipients on schedule or after each pipeline run.
Scheduled
Cron-based triggers for recurring exports
Event-driven
Automatically after each pipeline run
On-demand
Trigger via API call when you need it
How It Works
STEP 1: Set Up Clients & Ingestion Channels
Create a Client to provision secure ingestion channels. Choose from SFTP, email, cloud storage, API, or FTP/FTPS. Each client gets isolated credentials and folder structure.
STEP 2: Define a Schema
Model the dataset you expect (fields, types, required, formats) using JSON Schema. This enables structured data mapping and schema control across recurring file feeds.
STEP 3: Create a Pipeline
Connect a Client + Schema and add field mappings, transforms, and file options. Configure automated file processing rules and validation automation to ensure consistent handling of recurring file feeds.
STEP 4: Register Webhooks & Outbound Destinations
Receive signed events when files are received, processed, reprocessed, or fail. Configure outbound destinations to automatically deliver processed data to SFTP, S3, email, or external APIs.
STEP 5: Files Arrive From Any Channel
Clients upload via SFTP, send email attachments, drop files in cloud storage, or push via API. Files are automatically picked up from any configured channel, validated, and routed to the correct pipeline.
STEP 6: Monitor Pipeline Runs & Search Through Files
Track run status, search files, and download original or processed files. Maintain data validation automation across recurring file workflows by continuously monitoring execution states.
STEP 7: Handle Processed Data
Process data in your backend using webhooks + REST API to fetch full JSON. Deliver structured partner data to your destination endpoints after validation and transformation are complete.
STEP 8: Outbound File Exports
Generate and deliver processed files to external destinations. Configure output format, filename patterns, and delivery triggers. Schedule recurring exports or trigger them after each pipeline run.
Use Cases
From HR data feeds to EDI parsing, Automated FileFeeds handles the file formats and workflows your industry demands.
HR Tech
Automate ingestion of employee data from Workday, ADP, BambooHR, and custom HRIS exports. Normalize field names, validate employee IDs, and deliver clean JSON to your platform.
Financial Services
Process regulatory reports, transaction reconciliation files, and compliance data. Validate against strict schemas, flag anomalies, and maintain audit trails for every file.
Supply Chain
Parse EDI documents (X12, EDIFACT), purchase orders, inventory files, and shipping manifests. Transform legacy formats into structured JSON for modern systems.
Healthcare
Process insurance claims, eligibility files, and patient data with HIPAA-compliant infrastructure. Validate against healthcare-specific schemas and deliver to your claims engine.
FAQ
Automated FileFeeds supports SFTP (managed or bring-your-own), email attachments, cloud storage (S3, Google Drive, SharePoint, Dropbox), REST API upload, and FTP/FTPS. All channels feed into the same validation and transformation pipeline.
Yes. Each pipeline can be assigned a unique email address. Clients send files as attachments, and FileFeed automatically extracts and processes them. You can configure sender whitelists to control who can submit files.
Yes. FileFeed can generate processed files in CSV, XLSX, JSON, or XML and deliver them to SFTP servers, S3 buckets, email recipients, or webhooks. Exports can be scheduled (cron), event-driven (after pipeline run), or triggered on-demand via API.
FileFeed processes CSV, Excel (XLSX/XLS), JSON, and XML natively. We also support PDF table extraction for scanned and digital PDFs, and EDI parsing for X12 and EDIFACT documents commonly used in supply chain and healthcare.
When a new file arrives, our AI analyzes the column headers and sample data to suggest mappings to your target schema. Each suggestion includes a confidence score. The system learns from your mapping history, so accuracy improves with every file you process.
While ETL tools offer broad data integration capabilities, Automated FileFeeds specializes in file-based data onboarding. Unlike generic ETL platforms, this solution handles the unique challenges of recurring file-based integration: multi-channel ingestion, AI-powered mapping, schema validation, and structured delivery.
Yes. FileFeed provides managed SFTP with per-client folders, credentials, and IP allow-listing. Files are automatically picked up, validated, transformed, and delivered to your system via webhooks or API.
Yes. You can connect your existing SFTP or use our managed SFTP. Either way, the same validation, transformation, and delivery pipeline runs.
Multiple options: receive webhook events (FILE_PROCESSED) and fetch JSON via REST, pull presigned downloads, or configure outbound delivery to SFTP, S3, email, or external APIs.
Yes. FileFeed focuses on recurring file feeds with managed multi-channel ingestion, AI-powered mapping, schema validation, outbound exports, and automation out of the box.
Replace fragile scripts and manual processes with a complete multi-channel file automation platform. Book a demo to see it in action.
Schedule
Tell us how you exchange files today, and we’ll show you how to replace manual uploads and scripts with a single, automated pipeline.