How It Works

MeettheAIagents
thatdothework.

Describe what you need in plain English. A Manager delegates to specialists who connect sources, build pipelines, answer questions, build dashboards, and watch quality. All in your own cloud.

The Workflow

Describe it. Your team ships it.

You talk to AI agents in plain English. The Manager delegates the rest. Here is the flow, end to end.

01

Connect a source

Point your AI data team at a database, a cloud bucket, or an API. The Ingestion Engineer reads the schema and gets it ready.

02

Describe what you need

Type it in plain English: "load my Stripe data and show revenue by region." No SQL. No tickets.

03

The Manager delegates

The Manager breaks your request into steps and hands each to the right teammate: ingestion, modeling, dashboards, and quality.

04

Work ships in your cloud

A working pipeline, governed metrics, a live dashboard, and quality checks. All inside your own cloud, in minutes.

Your AI Data Team

AI agents that enhance your data flows

Describe what you need in plain English. A Manager delegates to specialists who handle ingestion, modeling, analysis, dashboards, and quality. No code required.

1
Connect GCS bucket
Ingestion Engineer
2
Build end-to-end pipeline
Data Engineer
3
Generate dashboard
BI Developer
4
Attach quality rules
Quality Engineer

Manager

Describe what you need in plain English. The Manager breaks it into steps and delegates to the right teammate.

Scanning bucket
gs://analytics-prod/
Found 3 folders
events/ users/ transactions/
Detected format
Parquet (snappy)
Inferred schema
6 columns, 2.4M rows
Inferred Schema
user_idINT
emailVARCHAR
created_atTIMESTAMP
revenueDECIMAL

Ingestion Engineer

Connects to your data. Reads its structure. Recognizes file types on its own.

SRCConnect
RAWIngest
CLNClean
KPIModel

Data Engineer

Breaks your goal into pipeline steps. Generates SQL for each. Lays them out on the visual canvas.

clean_transform.sql
WITH cleaned AS (
SELECT
CAST(user_id AS INT),
TRIM(LOWER(email)),
SUM(revenue) AS total
FROM raw.events
GROUP BY 1, 2
)

Analytics Engineer

Writes and cleans the SQL behind every model. Checks for security issues, then re-runs transforms when your data changes.

MRR$42k+12%
DAU8.4k+5%

BI Developer

Builds interactive dashboards from your data, then edits them through conversation. Adjust filters, swap chart types, add widgets by asking.

Show me revenue by day
Mon
Tue
Wed
Thu
Fri
Sat
Sun

Analyst

Query your data in plain English. Generates SQL, runs it, returns charts and tables. No code required.

Completeness
95%
Validity
90%
Uniqueness
88%
Consistency
94%
Timeliness
97%

Quality Engineer

Builds quality checks: completeness, validity, uniqueness, consistency, freshness. Attaches them to every step.

AI Instructions

Teach the AI agents your rules once.

Provide custom rules that the AI agents follow on every build, scoped to a workspace or a single pipeline. No repeating yourself.

Your rules, always followed

The AI agents applies them on every build, automatically. No reminders, no drift.

Workspace or pipeline scope

Set defaults for everything, or rules that apply to just one pipeline.

Reuse or override

Save instruction sets and reuse them across pipelines, or override for a one-off run.

AI Instructions
Workspace

Exclude test and internal accounts.

Revenue is in USD; convert other currencies first.

Match our naming: snake_case, gold_ prefix.

Applied to every build

Built on Apache Open Standards

Apache Iceberg — Table format
Apache Airflow — Orchestration
Apache Spark — Distributed compute
Apache Polaris — Catalog

Ready to ship data work today?

From raw data to live dashboards in one conversation.

Now in early beta. Plans from $2,500 a month. Runs in your cloud. Your data never leaves.

Enhancing data owners with a team of AI agents. From raw data to dashboards, all in your own cloud.

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