Datagaps participated in a conversation at Data Science Connect’s AI Enterprise Conference discussing AI readiness and data quality.

Datagaps builds trust into data - powering confident BI analytics, compliant AI models, and clean, zero-defect migrations at enterprise scale. As the only platform Gartner recognizes in both the DataOps Tools and Data Observability guides, Datagaps replaces the three-plus tools enterprises typically stitch together - ETL testing, BI validation, data quality monitoring, and test data management - with one platform built on shared rules, lineage, and governance. Its Agentic AI layer auto-generates tests, self-heals through schema changes, summarizes BI report differences, and recommends quality rules, freeing data teams to focus on decisions instead of defect hunting. Results across 100+ enterprise customers: 🟢500B+ records validated across ETL and cloud pipelines 🟢10M+ automated tests run without manual scripting 🟢80% faster test cycles than manual testing 🟢60% fewer data errors reaching production 🟢70% lower ETL validation spend 🟢200+ native data source connectors SOC 2 Type II certified. US patent on our ELV architecture. Informatica certified. Our embedded LLM means your data never leaves your environment. Products → DataOps Suite || ETL Validator || BI Validator || Data Quality Monitor || Test Data Manager Platforms: 200+ integrations, including Snowflake, Databricks, Azure Synapse, AWS Redshift, Power BI, Tableau, Oracle Analytics, Salesforce, Informatica, and dbt Know more: YouTube: https://www.youtube.com/datagaps

Founded 2010