Autonomous agentic data platform

Your data platform,
run by an
agentic workforce.

Introducing the Data Factory 2.0. Specialised data agents for every domain, connected by a living context graph, data teams running autonomously, and you in full control.

  • Autonomous
    operations
  • Agentic
    enterprise
  • Institutional
    memory
brief me on new insights and incident fixes to ads_data this week
Data Agents Working 1 agents 2 steps
Incident Debugging orders_daily freshness lag is 6h12m, past the 30m SLA · breached

By the Numbers

Unlock 8.9x more agentic, automated data operations.
4.1x developer productivity for data teams.

The move to specialized agents is already underway. General coding agents opened the door. Data agents walked through it. Fully autonomous data ops is where it lands, and it’s what we build for.

State-of-the-art data agents,
at the top of the benchmarks.
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 DataAgentBench (DAB, UC Berkeley EPIC Data Lab): 54 tasks across 12 real-world datasets and 4 database engines. Full methodology in our white paper, Context Is Not All You Need.

With our Data Factory, routine data work gets done dramatically faster.
CURRENT WITH AGENTS Legacy platform migration Audit prep (access evidence) Streaming pipeline stood up Model deployed & monitored New pipeline built & validated Access provisioning Schema-change migration Incident root-cause & fix Ad-hoc data question Finding the right dataset 4–8 wk 10–20 h 2–4 h hours hours 5 min 15–30 min 8–15 min seconds 30 s 1 MIN 1 HOUR 1 DAY 1 WEEK 1 MONTH 1 YEAR TIME TO COMPLETE (LOG SCALE)

Fig. 2: Time to complete ten routine data tasks, current practice (black) vs. agent swarm (green). Read how we measure this.

Where the numbers come from: the benchmark method is in our white paper, Context Is Not All You Need, and the turnaround model is in Estimating the Productivity of an Autonomous Agentic Data Platform.

Data Workers Data Factory 2.0, the end-to-end agentic data platform

Introducing Data Factory 2.0.
Now your data team runs itself.

Partners & integrations
Built for your coding agents
Official partners
85+ integrations
across the modern
data & AI stack

“What used to demand senior-level data engineering skills can now be done by anyone who can describe what they need.”

Alibaba Cloud
↘ Read the story
“For medium and large teams that need long-term, stable access to multi-source data, the improvement in management efficiency and risk control is huge.”
“Not an isolated tool, but a community workbench - an early ecosystem for data agents.”
Turns data work from developer “black magic” into a standard workflow that business users and analysts can join - safely and collaboratively.
For Platform Leads
Replace a sprawl of disconnected tools with one agentic autonomous data platform.
For Data Engineers
Stop spending 60% of your week on maintenance instead of building.
For Analysts & Data Scientists
Prove your data is correct before a stakeholder reports a wrong number.

Ready to go autonomous and agentic?

We’re building the future of data infrastructure right now. See how your enterprise data stack can operate fully agentic today.