Lightup.ai: Enterprise-Grade Data Quality & Observability with AI Intelligence

Lightup.ai is a cutting-edge enterprise data quality and data observability platform powered by AI, designed to ensure data reliability and integrity across complex analytics and AI workloads. It empowers data teams and organizations to proactively monitor data health with intelligent anomaly detection, automated metrics, and deep insights into data lineage and reconciliation. With support for both structured and unstructured data—including GenAI and LLM applications—Lightup.ai enables seamless integration with leading data platforms like Databricks, Snowflake, and BigQuery, as well as data catalogs such as Alation and Collibra. Its no-code/low-code interface, customizable SQL, and API/SDK options make it accessible for diverse teams, while features like Sliced Metrics, Dashboards, Data Remediation, and Genie (Beta), a GenAI copilot assistant, deliver precision, scalability, and control. Built on a pushdown architecture, it maintains high performance even at scale, and includes robust security with SOC 2 Type 2 certification. Lightup.ai supports comprehensive alerting and workflow integrations via Slack, PagerDuty, Jira, and Microsoft Teams, and offers enterprise-grade support, SSO, RBAC, and professional services for mission-critical deployments.

Key Features:

• AI Anomaly Detection with prebuilt algorithms (Values Outside Expectations, Sharp Change, Slow Burn Trend Change)
• Sliced Metrics for automated monitoring across thousands of data segments
• Customizable Dashboards with integration into BI tools like Power BI, Tableau, and Apache Superset
• Data Lineage (in beta) with enhanced traceability and downstream impact analysis
• Data Reconciliation for comparing source vs. target data or time-based table comparisons
• Data Remediation with tools to fix and validate data issues
• Zero-Config Auto Metrics for instant data quality setup
• Unstructured Data Quality Monitoring for modern AI and analytics pipelines
• Genie (Beta): A GenAI copilot assistant for guided data quality workflows
• No-code/Low-code rule building with intuitive UI
• Custom SQL and API/SDK support for advanced logic and automation
• Pushdown architecture for scalable, high-performance data checks
• Role-Based Access Control (RBAC) and Single Sign-On (SSO) via Google, Okta, SAML, and Microsoft AD
• Personalized professional services and enterprise-first delivery framework
• Root cause analysis with customizable failing records reports
• Integration with Databricks, Dremio, Snowflake, Redshift, BigQuery, Postgres, Athena, and more
• Workflow and alerting integrations with Slack, email, Microsoft Teams, Jira, ServiceNow, Opsgenie, and PagerDuty
• SOC 2 Type 2 certified cloud-native platform
• Support for Cloud and Hybrid deployment (Enterprise plan)
• 30-day data retention (Premium), 6+ months (Enterprise)
• Dashboard-ready schema for faster BI adoption

Pricing: Lightup.ai offers a Free Trial with sandbox access, making it ideal for teams testing enterprise data quality solutions. The platform provides tiered plans including Premium and Enterprise, with the Enterprise plan offering advanced features like extended data retention, dedicated support, and hybrid deployment. Pricing is subscription-based with options tailored for growing organizations and large-scale data environments.

Conclusion: Lightup.ai stands out as a powerful, intelligent data quality platform that combines AI-driven anomaly detection with enterprise scalability and seamless integrations. It’s a must-have for data-driven organizations seeking confidence, transparency, and automation in their data pipelines.