Agentic data engineering

Data Agents Swarmspecialized agents fleet
for enterprise data ecosystems

20 specialized agents that don't just find problems. They fix them: autonomous incident resolution, pipeline builds, change review, and governance, with write capability across your whole stack.

20
specialized agents
Every
layer of the stack
One
connection
Fully autonomous agents

Agents that read, write, and act, fully autonomously.

The swarm reads across your whole stack, writes real changes back, and works toward a goal end-to-end across pipelines, schema, quality, governance and cost, with no human in the middle.

The swarm reading the entire stack and writing real fixes back across 20+ domains Staff-level engineer superpowers Reads your entire stack Writes real fixes back Multi-agent action across 20+ domains
Self-improving agents

Agents and skills that get better every run.

Deep expert skills for dbt, Databricks, Snowflake and the rest of your stack, scored against real tasks instead of asserted. The swarm gets measurably better on your environment the longer it runs. Measured, not vibes.

Deep expert skills for dbt, Databricks and Snowflake, scored against real tasks Gets better at your stack Deep, expert-built skills Proven by real evals
Works on your stack, off the shelf

Every coding agent, every cloud, every data stack.

Each agent is an MCP server. One command connects the swarm to the tools your engineers already live in. No new platform to roll out, no migration, no lift.

Each agent an MCP server connecting to every coding tool, cloud and data stack - 85+ integrations Connects to your context + data stacks Bring your own LLMs and agents 85+ data integrations
Meet the agents

Specialized data-agents for every domain.

Each agent is its own MCP server: purpose-built, tool-wired, and working with the rest of the swarm. Pick any of them.

Pipeline Building Agent
Incident Debugging Agent
Quality Monitoring Agent
Schema Evolution Agent
Data Change Review Agent
Data Access & Governance Agent
Data Security Agent
Identity Agent
Cost Savings & Data Cleanup Agent
Data Migration Agent
Data Science & Insights Agent
MLOps & Models Agent
Observability Agent
Real-Time Streaming Agent
Autonomous Data-Conductor Agent
Data Ingestion Agent
Search & Research Agent
Data Context & Catalog Agent
Usage Intelligence Agent
Connectors Agent
Benchmarks

State-of-the-art data agents,
at the top of the benchmarks.

Our end-to-end approach outperforms everything else on the market, from standalone data agents to off-the-shelf coding agents.

Data Workers END-TO-END PLATFORM Standalone data agents OTHER PROVIDERS Coding agents OFF-THE-SHELF 74.4 58.6 41.2 0 20 40 60 80 100 TASK SUCCESS (%)

Fig. 1: Score on the Data Agent Benchmark (DAB by UCB), which evaluates agents on 1,400 real-warehouse tasks. Full methodology in our white paper (coming soon).

Let the agents work, go touch grass.

Ready to go autonomous and agentic?

See how your enterprise data stack can operate fully agentic today.

© 2026 Data Workers, Inc. Our copy, documentation, research and non-open-source agent designs, orchestration patterns and evaluation methods are proprietary and are not licensed for reimplementation. The open-source core is Apache-2.0 and that licence governs it. Read the full IP and AI usage notice.