AI-assisted file transformation
FileFeeds uses AI for PDF extraction and provides an AI coding agent for file transforms, mappings, and joins across CSV, Excel, and PDF files.
AI-powered data operations for transforming, validating, and importing large, sensitive datasets.
OneSchema is an AI-powered data operations platform for working with large and sensitive datasets. It combines a shared spreadsheet workspace with a lakehouse engine, allowing teams to inspect and transform complete files at scale. The platform supports data intake, extraction, mapping, validation, cleaning, and delivery into downstream systems.
OneSchema is designed for implementation, operations, and data teams that need to process messy CSV, Excel, PDF, and enterprise system data. AI agents can assist with document extraction, file transformations, joins, and mappings, while reusable validation templates and skills help teams apply consistent rules across recurring workflows. Deployment options include regional hosting and self-hosted environments for enterprise use.
FileFeeds uses AI for PDF extraction and provides an AI coding agent for file transforms, mappings, and joins across CSV, Excel, and PDF files.
The lakehouse-powered workspace is built to process complete enterprise files, including files described by OneSchema as 10GB or larger.
Validation templates support more than 50 included validation types, custom code validations, and no-code validation and transformation workflows.
Teams can ingest data from SFTP, APIs, S3, email, and native API connectors, then push cleaned, structured data into downstream systems.
The embeddable CSV importer provides guided imports, customizable errors and suggestions, bulk data correction, webhooks, and an importer API on supported plans.
OneSchema offers role-based access control, configurable retention policies, regional hosting in the US, EU, Canada, and Australia, and self-hosting on AWS, GCP, or Azure.
Match invoices to payments, automate accounts payable and receivables workflows, and assess credit or lending risk from operational data.
Connect claims, remittances, denials, patient data, and other records from EHR and EMR systems for more accurate downstream processing.
Move customer data from legacy CRM systems while preserving custom fields and preparing records for the destination system.
Combine employee and payroll data to support tax filing, benefits, and related workforce operations.
Ingest and normalize data from meters, SCADA, GIS, billing, asset management, work orders, and regulatory sources, then deliver canonical records to systems such as CIS, EAM, data lakes, or regulatory submissions.
The platform supports messy CSV, Excel, and PDF files, as well as data received through SFTP, APIs, S3, email, and native API connectors.
Yes. OneSchema offers an embeddable CSV importer with guided import, validation, customizable errors and suggestions, and an API for headless importer workflows on supported plans.
Teams can create reusable validation templates, transformations, mappings, joins, and AI-powered FileFeeds pipelines for recurring file processing.
OneSchema provides US, EU, Canada, and Australia region hosting, as well as self-hosted deployments on AWS, GCP, and Azure for eligible enterprise arrangements.
The platform is aimed at implementation, operations, and data teams handling customer imports, enterprise data integration, file processing, and regulated data workflows.
Os dados de tráfego são apenas para referência.