Filefeeds

AI-powered file workflows

Save your operations and services teams hours of time, and eliminate brittle, custom scripts. Automate your messiest CSV and PDF workflows.

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THE CURRENT PROCESS IS BROKEN

Launching CSV import has never been easier

01

Define your target data schema with AI

OneSchema supports 50+ prebuilt validations and transformations.

Create custom business logic using AI-generated code.

02

Non-technical user cleans a starter file with AI

Upload a sample customer file and OneSchema’s File Agents will do the mappings and transformations based upon your validation rules

Agents will output deterministic and reusable code for each FileFeed.

03

Ingest files from any source

Use our library of FileFeed connectors (e.g API, SFTP, or email server) to launch your data pipeline in minutes.

Transparent and observable pipelines notify your team of any errors and allow your users to resolve issues just by cleaning the file again.

THE ONESCHEMA DIFFERENCE

Not just another no-code integration builder

Validation as a core feature

Since files are so error-prone, we've built in powerful validation logic to shield your database against bad data.

Specialized for CSV, Excel, and PDF files

We know file formats are especially error prone and are built to handle them. We've seen millions of CSVs, XLSX, and PDF files to build out our proprietary parser.

Ingest files from any source

Define your transformations by recording a non-technical user cleaning a file. No training required.

Solutions by role

The file integration platform for enterprise teams

Operations

Save hours of time

Super-charge your services and implementation teams with AI tooling, and eliminate your backlogs of internal and customer-facing data pipeline requests.

product

Accelerate your roadmap

Focus more sprints on core roadmap than integrations. Writing python scripts to convert messy file data shouldn't be in your engineering team's job description.

engineering

No more edge cases to worry about

Remember the last file that showed up with missing rows? Eliminate SEV 0 incidents due to data quality. Debug incidents in minutes instead of days.