Forge Data into Insights, Faster

DPF (Data Prompt Forge) simplifies data ingestion and transformation through plain natural language prompts. Describe the data you have and the shape you want — the platform's AI infers the schema and generates the parsing and transformation logic for you in seconds, not weeks. No expensive ETL tools, no hand-coded data pipelines.

It's an open data management platform built on Apache Iceberg. Your data lands in open, vendor-neutral tables with schema evolution, time-travel, and rollback — never locked into a proprietary warehouse. Query it instantly with the built-in query engine, or follow our integration guides to bring your own compute: Spark, Trino, Databricks, Redshift, and more.

Everything is API-first and built to integrate with AI: every action in the web portal is also a REST API call or available through our MCP server, so AI agents can onboard data sources, run transformations, and query results without a human in the loop.

One Platform, From Raw Data to Insights

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Ingest & Transform With Natural Language

Describe your data and the result you want in plain language. Our AI — 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.

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Minutes, Not Months

Traditional ETL projects take weeks of development and testing. DPF delivers working data pipelines in minutes — from upload to queryable data in open table format.

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One Bill, No Warehouse Required

Traditional stacks require an ETL tool (Fivetran, Informatica) plus a warehouse (Snowflake, BigQuery). DPF bundles transformation and managed Iceberg storage into a single usage-based subscription. Connect your own query engine when you need heavy analytics.

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Any Format, Automatically

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.

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Open Iceberg Platform, Built-In Query Engine

An open data management platform built on Apache Iceberg — open tables with schema evolution, time-travel, and rollback, with no proprietary lock-in. Query instantly with the built-in engine, or follow our integration guides to bring your own compute: Spark, Trino, Databricks, or Redshift.

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One-Click Rollback

Every data load captures Iceberg snapshots. Made a mistake? Roll back to the exact pre-load state with a single API call. Full audit trail included.

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Enterprise Security

JWT authentication, workspace-level access control, encrypted credentials, and complete audit logging. Your data stays in your AWS account.

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Built for Humans & AI Agents

Every action in DPF is API-driven — the web portal itself is just one client of the same REST API. Automate your entire data integration pipeline programmatically, drive it from our MCP server, or use the web portal.

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Team Collaboration

Shared workspaces with granular permissions. Invite team members, share data specs, and collaborate on transformations without stepping on each other.

Platform Capabilities

🎯 Job Design Flow

One-time setup process to define parsing rules, transformation logic, and mapping specifications that are reused for every execution.

⚡ Job Execution Flow

Automated execution pipeline that parses input files, validates data, applies transformations, and loads results to open table formats.

🔌 REST API

Comprehensive, API-driven platform — every capability (integration management, job execution, credential handling, and data consumption) is exposed as a REST API call, not just bolted on after the fact.

🤖 AI Agent Integration

DPF is built to integrate with AI from the ground up. Our Model Context Protocol (MCP) server lets AI agents autonomously set up data integrations, manage transformations, and make data available — using the same API-driven actions a human would take in the portal.

💻 Web Portal

User-friendly interface for integration setup, file uploads, job monitoring, and results visualization with team collaboration features.

🤝 Team Collaboration

Share integrations, collaborate on transformations, manage permissions, and work together seamlessly across teams.