Put your data operations on autopilot — inside your own warehouse.
DataEmissary deploys intelligent agents directly on your governed data platforms. They automate reporting, investigate anomalies, and enforce data quality — running as native workloads in Snowflake and BigQuery, under your access controls.
A specialist for every data job your team dreads.
Each agent is purpose-built for one workflow, operates on governed models and metrics, and hands you evidence — not black-box answers.
Reporting Agent
Builds and refreshes recurring reports from your governed metrics. Stakeholders get answers on schedule — not tickets in your queue.
Anomaly Agent
Detects metric anomalies, traces root causes across dimensions, and delivers a written brief with the evidence — before the 9am standup.
Quality Agent
Continuous checks on freshness, completeness, and schema drift across your pipelines — with alerts before anything breaks downstream.
Governance Agent
Monitors access patterns and sensitive-data handling against your policies. Flags violations, documents lineage, keeps auditors happy.
From warehouse to working agents in three steps.
Connect
Point DataEmissary at your Snowflake or BigQuery project. Agents inherit your warehouse roles and permissions — your data never leaves your perimeter.
Deploy agents
Choose the agents you need and put them on a schedule. They run as governed workloads inside your platform, on your governed models.
Review & act
Agents deliver briefs, refreshed reports, and alerts to your team. You approve the actions — the agents do the work.
AI your security team will actually approve.
Most AI tools ask you to ship data out. DataEmissary does the opposite — the agents come to your data, and operate under rules you already enforce.
- Runs inside your perimeter. Agents execute as workloads in your cloud account — no external data movement.
- Your access controls, inherited. Agents see exactly what their assigned warehouse role sees — nothing more.
- Fully auditable. Every query, decision, and action is logged with lineage you can inspect.
- No training on your data. Your warehouse data is never used to train shared models.
Questions worth asking.
How is this different from data observability tools?
Observability watches your pipelines; DataEmissary watches your business. When a pipeline breaks, observability tells you. When revenue drops 18% overnight with green pipelines, DataEmissary investigates why — tracing the anomaly across dimensions and upstream tables, then delivering the brief with evidence.
Does it replace dbt or our BI tool?
No — it sits on top of them. dbt builds your modeled data, your BI tool visualizes it, and DataEmissary does the operational work in between: keeping reports fresh, investigating metric changes, and enforcing quality on the models you already govern.
Do agents write to our warehouse?
Only with your explicit approval. Agents read and analyze autonomously; anything that modifies data, changes a schedule, or touches permissions waits for a human to approve it first.
When will it be available?
DataEmissary is in development now. We're opening early access soon for data teams running on Snowflake and BigQuery — request access and we'll reach out when your agents are ready to deploy.
What will it cost?
Pricing isn't set yet. Early access partners get input on the packaging — and a good deal for helping us get it right.
DataEmissary is in development.
We’re opening early access soon for data teams running on Snowflake and BigQuery. Tell us about your stack — we’ll reach out when your agents are ready to deploy.
Request early access →