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BigQuery · Google ADK · MCP

Agentic Data Lake
Your Warehouse. Your AI Analyst.

Pre-Built Data Pipelines into BigQuery — Plus a Conversational Agent That Turns Your Warehouse into a Chatbot. Go from scattered data to a working BigQuery warehouse with a conversational agent in under a day.

< 1 day
From source to working warehouse
8+
Pre-built source connectors
0 SQL
Required for end-user analytics
Chat
Reports sent directly from conversation
Data Sources

Pre-Built Connectors

Google Sheets
Third-Party APIs
PostgreSQL / MySQL
MongoDB
Airflow DAGs
Cloud Run Jobs
BQ Stored Procs
Webhook Events
Capabilities

Everything in One Platform

Pre-Built Pipeline Library

Plug-and-play connectors for Google Sheets, REST APIs, PostgreSQL, MySQL, MongoDB, Airflow DAGs, Cloud Run jobs, and BigQuery stored procedures — production-ready in minutes.

BigQuery-First Warehouse

Every source lands in a structured, partitioned BigQuery dataset with auto-generated dbt models, data freshness monitoring, and incremental load support out of the box.

Data Insight Agent

Conversational AI agent connected directly to your BigQuery warehouse. Ask questions in plain English, get charts and tables back in seconds — no SQL required.

Chat-to-Report Builder

Describe the report you need in the chat — the agent queries the warehouse, assembles the data, and generates a formatted report ready to share or send.

Send Reports via Chat

Type "email this to [name]" in the conversation and the agent sends the formatted report as an HTML email — directly from chat, without leaving the interface.

Agentic Source-to-Insight

The agent knows your schema, sources, and data freshness. Ask about pipeline status, trigger a refresh, or request a live pull from any connected source — all in one conversation.

Workflow

Source to Insight in 4 Steps

01

Connect Your Sources

Select from the pre-built connector library. Configure credentials once — Sheets, APIs, databases, or webhooks — and the pipeline starts loading.

02

Data Lands in BigQuery

Incremental loads, auto-schema detection, partition management, and dbt model generation. Your warehouse is ready without custom pipeline code.

03

Ask the Data Insight Agent

Open the chat interface. Ask questions, request reports, check pipeline freshness, or pull a specific dataset — the agent handles SQL and formatting for you.

04

Share via Chat or Email

Reports sent as formatted emails directly from the conversation. No BI tool access required — stakeholders get answers, not dashboard links.

Who It's For

Data for Every Team

Data & Analytics Teams

Stop hand-building connectors. Start with a working warehouse and spend time on analysis.

Ops & Finance Teams

Ask your data questions in plain English. Get answers, reports, and emails — without filing a Jira ticket.

Startup CTOs

Full data stack in a day. Pre-built pipelines + an AI analyst your whole team can use from day one.

Data Engineers

Extend the library with custom connectors. The foundation — monitoring, partitioning, scheduling — is already done.

Launching Soon

Your Data, Ready to Answer Questions.

Join the waitlist and be among the first teams to get pre-built pipelines and a conversational AI analyst connected to your BigQuery warehouse.