AI-native platform
The file pipeline
with AI built in.
Intelligence at every layer. Not a feature bolted on, but architecture built from the ground up. AI proposes the mapping for every client file, your team reviews and approves, and the pipeline runs on schedule from then on.
Traditional ETL has an automation ceiling
Traditional tools automate execution but not configuration. Every new client requires manual mapping, transformation code, and validation rules. The engineering burden scales linearly with your client count.
Hours
to hand-configure one client pipeline
1 engineer
pulled into every client onboarding
Linear
engineering cost as client count grows
Per client
custom mapping code to maintain
Five layers of intelligence
Not one AI feature. Five interconnected layers that cover the pipeline from ingestion to delivery.
Intelligent ingestion
Files arrive over FileFeed-hosted SFTP, your client's own SFTP server, or email with sender allow-lists. FileFeed analyzes structure, detects format, and identifies encoding before a single row is processed.
- Hosted and client-hosted SFTP
- Email ingestion with sender allow-lists
- Format and encoding auto-detection
- CSV, Excel, TSV, JSON, and XML support
AI field mapping
Multi-signal analysis considers headers, sample data, and data types to match each client's columns to your schema. Your team reviews the proposed mapping and approves it once.
- Header and sample-data analysis
- Auto-map suggestions for every column
- One-click accept for suggested matches
- Human review and approval on every mapping
Built-in transformations
Apply built-in transform functions directly on any mapped field, with a preview against your actual data. No custom code, no deployment.
- Trim whitespace and normalize casing
- Format email addresses consistently
- Convert strings to numbers and dates
- Standardize values before delivery
Schema validation
Define validation rules on your schema once and every row from every client is checked against them. Failing rows are flagged before they reach your API.
- Email, phone, and date format checks
- Enum rules for categorical values
- Required-field and type validation
- Row-level errors with full context
Conversational management
Build pipelines with the AI Assistant in the dashboard, where every write operation requires your explicit approval. Give your IDE or agent read-only access to connections, pipelines, runs, schemas, and webhooks through the MCP server.
- AI Assistant in the dashboard
- Every write requires your approval
- Read-only MCP server for IDE and agent access
- Works with Claude Desktop, Cursor, VS Code
Onboarding that scales
In traditional ETL, every new client is a custom project. Same effort for the 100th client as the 10th. In FileFeed, every new client follows the same path. AI proposes the mapping, your team reviews and approves it once, and the pipeline runs automatically from then on. The per-client effort stays flat as your client base grows.
Once
mapping approved per client
Days
from first file to go-live
< 1 min
to investigate a failed run
0
transformation code written
Three AI-native interfaces
Same intelligence, three ways to work.
Dashboard
Visual interface with AI suggestions pre-filled. Mapping recommendations surface automatically and every run lands in a full audit trail. Override anything manually.
Best for: Operations and CS teams
AI Assistant
Conversational interface embedded in the dashboard. Upload files, describe what you need, and the assistant builds the entire pipeline. Every write operation requires your approval.
Best for: Anyone who knows the requirements
Learn moreMCP Server
Connect Claude Desktop, Cursor, VS Code, or any MCP-compatible assistant. Inspect connections, pipelines, runs, schemas, and webhooks without leaving your IDE.
Best for: Engineering teams
Learn moreAI-native vs. AI-added
Adding an AI feature to a legacy tool accelerates one step. Building AI into the architecture changes how the entire system operates.
| Capability | FileFeed | Flatfile, OneSchema, Dromo |
|---|---|---|
| AI field mapping | Yes | Some |
| Automated recurring SFTP feeds | Yes | No |
| Email ingestion with sender allow-lists | Yes | No |
| Built-in transform functions | Yes | Some |
| Schema validation with row-level errors | Yes | Some |
| HMAC-signed webhook delivery | Yes | No |
| MCP agent integration | Yes | No |
| Full run audit trail | Yes | Some |
Stop configuring. Start shipping.
The AI-powered pipeline is live. Sign up free and set up your first pipeline with the Assistant, or book a demo to see the full platform.