Enterprise Use Case
Data Warehouse AI Execution: From Snowflake to 21 Ad Platforms
Execute advertising campaigns directly from your enterprise center of intelligence in Snowflake, BigQuery, or Databricks. Synter provides the safe, programmatic write engine for your warehouse AI agents.
The Data Warehouse Execution Gap
Modern enterprise growth teams maintain their customer data, propensity models, and AI agent workloads directly inside their cloud data warehouse—Snowflake Cortex, BigQuery, or Databricks.
However, taking those real-time audience segments, propensity scores, and budget allocation decisions and publishing them into ad networks (Google, Meta, LinkedIn, Amazon DSP, The Trade Desk) creates a major operational bottleneck:
- Fragile API Maintenance: Data engineering teams must write and maintain 21 separate OAuth, REST, and gRPC connections.
- Manual CSV Exports: Marketing ops relies on static CSV uploads that go stale in hours, losing real-time intent signals.
- Lack of Execution Safety: Autonomous warehouse agents lack built-in human approval gates and financial guardrails.
The Synter Architecture
Your Warehouse Stays the Brain
Your customer data, PII, LTV models, and Snowflake CoWork agents remain securely in your data warehouse. Synter never ingests or stores your raw customer database.
Unified 21-Platform Write API
Synter normalizes platform schemas across search, social, display, CTV, and retail media. Your AI agents call one unified MCP interface to publish campaigns and adjust bids.
Human Approval Gates & Guardrails
Enforce budget caps, human review gates, and spend alert thresholds before any agent modification goes live on external ad networks.
Supported Ad Channels & Networks
Synter natively provides programmatic write and optimization support for 21 ad platforms, DSPs, and retail media networks:
Request an Enterprise POC
Kick off an H2 2026 proof-of-concept for your growth engineering and revenue operations team in under 10 minutes.