# Dagen AI

> Dagen AI is an agentic data pipeline infrastructure platform. It builds, monitors, and self-heals data pipelines autonomously using a coordinated system of specialist AI agents — no manual intervention required.

## What Dagen Does

Dagen replaces traditional, static data pipeline tooling with an intent-driven, self-healing system. Engineers describe what they want in plain language; Dagen designs the architecture, generates the code, deploys it, monitors it continuously, and remediates failures automatically. The platform grows smarter over time through tri-layer memory that captures pipeline history, organizational knowledge, and institutional best practices.

## Core Concepts

### Agentic Pipeline Framework (APF)
Dagen's foundational architecture. Every pipeline is an intent-bearing, self-aware object — not a static script. APF defines how intent flows through the system, how agents collaborate, and how pipelines self-heal.

### Specialist Agents
Dagen deploys a hierarchy of specialist agents, all orchestrated by a central super-agent:
- **Data Ingestion Agent** — connects to 500+ sources via Airbyte connectors; handles rate limits, retries, and schema changes
- **dbt Agent** — generates dbt models, tests, and documentation aligned to declared intent; handles SCD patterns and lineage
- **Metadata Discovery Agent** — profiles source data, infers column semantics, maintains data catalog automatically
- **Data Model Generation Agent** — designs medallion architecture (bronze / silver / gold) tailored to each use case
- **Data Cleansing Agent** — remediates nulls, duplicates, type mismatches, and referential integrity violations
- **Orchestration Agent** — schedules and coordinates execution; integrates with Apache Airflow and dbt; manages SLA tracking
- **Spark Developer Agent** — writes, optimizes, and debugs PySpark jobs for Databricks, Dataproc, EMR, and Snowflake
- **Test Data Generation Agent** — creates synthetic datasets mirroring production schemas for safe development and testing
- **Internet Search Agent** — enriches pipelines with external and real-time data for AI and RAG use cases

### Autonomy Levels
Users choose how much autonomous decision-making Dagen exercises:
- **Guided** — Dagen recommends; humans approve every action
- **Semi-Autonomous** — Dagen acts on routine tasks; humans review exceptions
- **Autonomous** — Dagen acts end-to-end; humans review summaries

### Tri-Layer Memory
- **L1 Working Memory** — active task context for the current pipeline run
- **L2 Episodic Memory** — queryable log of all pipeline events, changes, and remediations across the data estate
- **L3 Institutional Knowledge** — persistent, org-specific repository of best practices, data definitions, and tribal knowledge; grows indefinitely

### Self-Healing
Dagen continuously monitors schema drift, data quality thresholds, SLA windows, volume anomalies, and dependency failures. When an issue is detected, the system remediates autonomously — rewriting models, adjusting tests, and preserving SLAs — without paging engineers.

## Integrations

Native connectors: PostgreSQL, MySQL, Oracle, Snowflake, BigQuery, Amazon Redshift, Databricks, Apache Kafka, Salesforce, Azure Blob Storage, Amazon S3, Amazon Ozone, Apache Iceberg, Apache Hive, Teradata.

Additional sources: 500+ via the full Airbyte connector catalog.

## Who It's For

Data engineering teams and data platform organizations looking to reduce pipeline toil, eliminate on-call burden, and build AI-ready data infrastructure. Enterprise features include security controls, governance, collaboration tooling, and observability.

## Pages

- [Home](https://dagen.ai/) — Overview, how it works, platform summary, specialist agents
- [Product](https://dagen.ai/product.html) — Full platform detail: APF, agent catalogue, autonomy levels, tri-layer memory, integrations, enterprise features
- [Why Agentic](https://dagen.ai/why-agentic.html) — The case for agentic data infrastructure vs traditional pipeline tooling
- [Pricing](https://dagen.ai/pricing.html) — Plan options and pricing tiers
- [Enterprise](https://dagen.ai/enterprise.html) — Enterprise-grade security, governance, and collaboration capabilities
- [Resources](https://dagen.ai/resources.html) — Whitepapers, guides, and content
- [Documentation](https://dagen.ai/docs.html) — Technical documentation
- [FAQs](https://dagen.ai/faqs.html) — Frequently asked questions
- [Company](https://dagen.ai/company.html) — About Dagen AI
- [Careers](https://dagen.ai/careers.html) — Open roles
- [Contact](https://dagen.ai/contact.html) — Get in touch
- [Privacy Policy](https://dagen.ai/privacy.html)
- [Terms of Service](https://dagen.ai/terms.html)

## Contact

Website: https://dagen.ai
Contact: https://dagen.ai/contact.html
Book a demo: https://dagen.ai/contact.html

## Company

Dagen AI, Inc. © 2026. All rights reserved.