Monte Carlo, the leader in data and AI observability, today announced the launch of unstructured data monitoring — a breakthrough capability enabling organizations to ensure trust in unstructured data assets such as documents, chat logs, images, and more, without writing any SQL. This marks Monte Carlo as the first data + AI observability platform to fully bridge the gap between structured and unstructured data monitoring with AI-powered precision.
The Blind Spot of Unstructured Data in Enterprise AI
According to IDC, a staggering 90% of company data is unstructured, yet its quality and reliability remain largely invisible to many organizations. As generative AI increasingly depends on unstructured data as a core input for analytics, data products, and decision-making, Monte Carlo’s new feature empowers users to apply customizable AI checks that monitor quality metrics tailored to their unique needs.
AI-Driven Observability for Next-Gen Data + AI Products
Monte Carlo’s unstructured data monitoring lets users:
- Flag texts or images missing critical details
- Alert on quality drifts in customer service transcripts by analyzing sentiment
- Validate AI-generated content for tone, structure, and factual accuracy
- Detect content that doesn’t fit based on topic classification
These monitoring capabilities integrate seamlessly into Monte Carlo’s existing engine and deploy with minimal setup, accelerating time-to-insight.
Native Integration with Leading Data Platforms
Supported data warehouses and lakehouses include Snowflake, Databricks, and Google BigQuery, all with native integration to each platform’s respective large language model (LLM) or AI function libraries. This ensures that sensitive data never leaves the customer environment, maintaining strict security while enabling powerful monitoring.
Building AI You Can Trust
“Enterprises aren’t just building AI — they’re racing to build AI they can trust,” said Lior Gavish, Co-founder and CTO of Monte Carlo. “High-quality unstructured data is foundational to building powerful, reliable AI. Our monitoring proactively detects data issues before they impact the business.”
Monte Carlo’s expansion signals a broader strategic shift from standalone data observability toward end-to-end data + AI observability, covering the full lifecycle from data ingestion to AI-driven insights.
Supporting Snowflake Cortex Agent and Databricks AI/BI
Monte Carlo also announced integrations with Snowflake Cortex Agent and Databricks AI/BI, supporting AI-native analytics platforms that unify structured and unstructured data insights:
- Snowflake Cortex Agent: AI-powered agents orchestrating reliable AI decisions across data types.
- Databricks AI/BI: Compound AI system generating rich insights spanning ETL, lineage, and analytics workflows.
Shane Murray, Head of AI at Monte Carlo, emphasized: “AI applications are only as powerful as the data powering them. Our support for these platforms helps data teams ensure foundational data reliability for real-time, AI-driven business insights.”
Upcoming Events
Stay updated with news from the 2025 Snowflake Summit and Databricks Data + AI Summit at Monte Carlo’s blog: montecarlodata.com/blog.
- Visit Monte Carlo at Snowflake Summit, June 2-5, Booth #1508
- Visit Monte Carlo at Databricks Data + AI Summit, June 9-12, Booth #F602
