Lightup Data Quality & Observability Platform

Lightup Data, Inc. is a San Francisco based software company led by founder and CEO Manu Bansal, with the stated mission to democratize data quality. It addresses a common enterprise problem: broken or stale data in production pipelines that reaches dashboards, reports and AI models before anyone notices.

The platform continuously monitors and validates data in place using pushdown queries, so checks run inside the customer's warehouse and data is not moved. It provides zero-config auto metrics, prebuilt ML anomaly detection without manual thresholds, sliced metrics, data reconciliation, remediation, lineage, dashboards and quality checks for unstructured data. Newer modules include the Genie GenAI copilot, a Recommendations advisor and an agentic interface (beta) that works with Claude, Gemini and coding agents. Logos and testimonials on the site include AMD, Skechers, KFC, GKN, Baker Hughes and McDonald's.

• Zero-config auto metrics: Tracks freshness, volume and schema changes across tables without setup.
• AI anomaly detection: Prebuilt ML models flag unusual values without rules or manual thresholds.
• Data reconciliation: Compares datasets across sources to catch mismatches after migrations or transfers.
• Lineage and remediation: Shows upstream and downstream impact and supports fixing bad records.
• Recommendations advisor: Suggests missing monitors, metrics and fixes for noisy checks, ranked by usage.
• Genie and agent interface: GenAI copilot and an agentic interface that works with Claude and Gemini.

A Vietnamese retail or F&B chain can monitor daily sales and inventory tables in its warehouse and get alerts when a store feed stops or volumes drop. A bank can reconcile data between core banking and the reporting warehouse after a migration. A manufacturer can track freshness of production data feeding management dashboards.

Pushdown execution keeps data inside the customer's warehouse, which helps with security reviews, and the vendor says costs stay flat as data volume grows. Prebuilt anomaly detection lets teams deploy thousands of checks without writing rules or tuning thresholds. Business users can direct checks through no-code screens or natural-language agents instead of waiting on engineers. The vendor states SOC 2 and ISAE 3000 Type II audits and AES-256 encryption.

As enterprises feed warehouse data into analytics and generative AI, undetected data errors become costly, and data teams cannot write rules for every table. Demand is moving toward automated, ML-driven observability that runs inside cloud warehouses such as Snowflake, Databricks and BigQuery, which many Southeast Asian enterprises are now adopting.

Lightup Data, Inc. lists a mailing address at 548 Market St., San Francisco, CA. The site cites a USD 9 million Series A (2023) led by Andreessen Horowitz and Newlands, CIOReview Enterprise Data Quality Monitoring Solution Company of the Year 2024, CB Insights AI 100 (2024) and Snowflake AI Data Cloud Products Partner Select status.