DPF (Data Prompt Forge) is an AI-powered platform for data ingestion, transformation and analytics using natural language. Describe your data and the shape you want and the AI infers the schema and generates the pipeline in seconds. No expensive tools and no hand-coded pipelines.
Watch an AI agent use DPF's MCP server to build a data-connected web app — from prompt to running page.
Describe your data and the result you want in plain language. Our AI-powered data processing engine — augmented with proprietary integration templates and industry best practices — infers the schema and generates production-ready parsing and transformation code automatically. No hand-coding, no separate ETL tool.
Traditional ETL projects take weeks of development and testing. DPF is the ETL replacement that delivers working data pipelines in minutes — from upload to queryable data in open table format.
Skip the traditional ETL tool (Fivetran, Informatica) plus warehouse (Snowflake, BigQuery) stack entirely. DPF bundles zero-ETL transformation and managed Iceberg storage into a single usage-based subscription. Connect your own query engine when you need heavy analytics.
CSV, fixed-width, JSON, XML, Parquet, Excel, and proprietary vendor formats. AI detects the structure — multi-record types, nested data, custom delimiters — and handles it all, landing every result in open data formats on Apache Iceberg.
JWT authentication, workspace-level access control, encrypted credentials, and complete audit logging. Your data stays in your AWS account.
Shared workspaces with granular permissions enable real data collaboration: invite team members, share data specs, and collaborate on transformations without stepping on each other.
Curious about the technology underneath? See how it works →
Start free with 100 credits a month — no credit card required. Or take a look under the hood first.