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.
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.
Staff-level engineer superpowers
Reads your entire stack
Writes real fixes back
Multi-agent action across 20+ domains
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.
Gets better at your stack
Deep, expert-built skills
Proven by real evals
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.
Connects to your context + data stacks
Bring your own LLMs and agents
85+ data integrations
Each agent is its own MCP server: purpose-built, tool-wired, and working with the rest of the swarm. Pick any of them.




















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