Automated quality controls
Agents write and run data tests on every pipeline — freshness, nulls, schema drift, anomalies — before bad data reaches a dashboard.
Agentic data platform · humans in the loop
Does your data spark joy?
Data done right.
The agentic platform that automates data quality, governance, and observability — end to end. datajoi's data agents do the heavy lifting; your team stays in the loop.
Plugs into your entire stack — 500+ connectors
- dlt
- DuckDB
- Apache Arrow
- Snowflake
- dbt
- BigQuery
- Databricks
- Postgres
- Kafka
- S3
The platform
Everything the modern data stack needs — automated, and in one place.
Data lineage at a glance
See exactly where every column comes from and what it feeds. Full column-level lineage, mapped automatically as data flows.
Complete observability
Every pipeline, run, and cost in one live view. Know what's healthy, what's stale, and what needs attention — instantly.
Governance & compliance
Policies, access, PII tagging, and audit trails baked in. Prove where data came from and who touched it — for any regulator.
Visual data workflows
Compose pipelines from modular blocks. Business users drag, agents build — no orchestration code to maintain.
500+ connectors
Powered by dlt, DuckDB, and Apache Arrow. Land data from any source in minutes — warehouses, SaaS apps, files, streams.
Data Agents
Purpose-built agents for ingestion, modeling, quality, and cataloging. They work the stack for you — via MCP, API, and SDK — and hand off to a human when it matters.
Automatic Dashboards
Ask a question, get a live dashboard. datajoi turns every DataStory™ into charts and metrics that refresh on their own — no dashboard to build or maintain.
Decision Support
Beyond the numbers — datajoi surfaces the "so what." Agents flag risks, recommend next actions, and explain the reasoning so business users can decide with confidence.
How it works
An agentic pipeline, end to end.
Four steps from raw source to trusted DataStory — agents do the work, your team approves.
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01
Connect
Link any source with dlt. datajoi reads schema and lineage automatically.
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02
Agents build
Data agents write the SQL, models, and quality tests — and document as they go.
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03
You approve
Review proposed changes in plain language. Approve, edit, or send back — you stay in control.
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04
Ship the story
Trusted data ships as a DataStory™ — with lineage, tests, and observability live.
Human-in-the-loop
Agents move fast. You stay in control.
Every change an agent proposes — a new transformation, a schema edit, a quality rule — arrives as a clear, reviewable request in plain language. Approve with one click, tweak inline, or send it back. Nothing touches production without a human yes.
- Explainable by default — every agent action comes with the why.
- Full audit trail — who approved what, and when.
- Business-user friendly — no SQL required to review.
White-label · for partners
Your brand. Our engine.
datajoi is built on modular data-stack components and agentic MCP, API, and SDK integrations. Ship a fully white-labeled data platform under your own brand — pick the modules you need, wire in your own agents, and go to market in weeks, not years.
Modular components
Agentic MCP
API & SDK integrations
Your data agents
FAQ
Frequently asked questions
What is datajoi?
datajoi is an agentic data platform that automates data quality, governance, and observability end to end. Purpose-built data agents connect sources, write SQL and data models, run quality tests, and document everything — while your team reviews and approves every change before it reaches production.
How do datajoi's data agents work?
datajoi ships purpose-built agents for ingestion, modeling, quality, and cataloging. They work your data stack through MCP, API, and SDK integrations: an agent proposes a change — a new transformation, a schema edit, a quality rule — as a clear, reviewable request in plain language. A human approves, edits, or sends it back. Nothing touches production without a human yes.
Does datajoi replace my data team?
No. datajoi is built human-in-the-loop by design. Agents handle the repetitive heavy lifting — writing tests, mapping lineage, monitoring pipelines — and your team stays in control with plain-language reviews, one-click approvals, and a full audit trail of who approved what and when. No SQL is required to review changes.
Which data sources does datajoi connect to?
datajoi offers 500+ connectors powered by dlt, with DuckDB and Apache Arrow for compute. It works with warehouses and tools like Snowflake, BigQuery, Databricks, Postgres, dbt, Kafka, and S3 — plus SaaS apps, files, and streams. Data lands from any source in minutes.
Can I white-label datajoi under my own brand?
Yes. datajoi is built from modular data-stack components with agentic MCP, API, and SDK integrations. Partners can ship a fully white-labeled data platform under their own brand — pick the modules you need, wire in your own agents, and go to market in weeks instead of years.
What is a DataStory?
A DataStory is datajoi's answer format: ask a question in plain language and get back the generated SQL, the results, and a narrative explanation with live charts — backed by lineage, quality tests, and observability. DataStories refresh on their own, so there is no dashboard to build or maintain.
Early access
Put your data on autopilot.
Join the waitlist and be first to run an agentic, end-to-end data platform — with humans in the loop.
You're on the list.
Thanks for your interest in datajoi. We'll be in touch soon with your early-access invite.