Lightup

What Lightup does

Lightup Data, Inc. is an enterprise data observability platform founded in 2019 that enables large organizations to continuously monitor and validate production data pipelines. The platform targets enterprise data engineering, analytics, and data stewardship teams at Fortune 500 and large enterprise customers across fast food, retail, footwear/apparel, oilfield services, and technology/semiconductors; named customers include McDonald's, Skechers, Gap Inc., Baker Hughes, AMD, KFC, GKN, and Transparent Partners. The company's core technology uses a pushdown query architecture that runs computation directly in the customer's data warehouse so that data never leaves the customer environment, with prebuilt machine learning models performing anomaly detection without requiring thresholds, rules, or manual configuration. Recent additions include agentic interfaces that work natively with Claude, Gemini, and Codex coding agents, and a GenAI copilot named Genie (Beta) for natural-language task automation.

The product portfolio centers on a Data Observability Platform augmented by specialized modules including AI Anomaly Detection, Sliced Metrics, Data Lineage, Data Reconciliation, Data Remediation, Zero-Config Auto Metrics, Dashboards, Recommendations, and an Unstructured Data Quality module. The platform connects to more than 15 data warehouse and pipeline sources (Databricks, Snowflake, BigQuery, Redshift, Azure Synapse, Dremio, Kafka/ksqlDB, Oracle, SQL Server, PostgreSQL, MySQL, Teradata, SAP HANA, Athena, Hive, Greenplum, Incorta, AWS S3, Azure Blob) and integrates with ITSM and collaboration tools including PagerDuty, ServiceNow, Jira, Slack, Microsoft Teams, and Opsgenie. A Python SDK (lightctl) and REST API enable programmatic access; the company holds SOC 2 Type 2, ISAE 3000 Type II, and AES-256 encryption certifications.

Lightup operates a B2B SaaS model with two deployment options: Lightup Cloud (single-tenant SaaS on AWS primary, GCP secondary) and Lightup Hybrid (on-premises managed service with split data/control plane). The GTM motion combines enterprise field sales targeting Fortune 500 deployments with a product-led growth free trial tier; distribution is reinforced through Databricks Partner Connect, Snowflake AI Data Cloud Products Partner Select status, and channel/partner pages with catalog vendors (Alation, Collibra, Atlan, Dremio, PagerDuty, ksqlDB). Pricing is freemium for self-serve evaluation with annual subscription enterprise contracts priced via quote; per publicly disclosed data (getlatka, 2025), ARR stands at $2.4M against a total disclosed funding base of approximately $20.65M across a 2019 seed, a 2021 round, and a $9M Series A in August 2023 led by Andreessen Horowitz and Newland Ventures.

Name

Lightup

Legal name

Lightup Data, Inc.

Website

https://lightup.ai

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

Lightup provides an enterprise data observability platform that uses AI anomaly detection and agentic interfaces to monitor and validate production data pipelines, serving Fortune 500 data teams across retail, QSR, energy, and technology.

Ownership category

akta.pro rank

Product category

Data Observability

NAICS

Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Real-Time Vision at the Edge (on-device CV/video) (HDAAAJAE)

Keywords

• Data observability platform
• Data quality monitoring
• AI anomaly detection
• Data pipeline validation
• Enterprise data governance

Headquarters

HQ city

Mountain View

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Subscription SaaS: Cloud deployment with subscription pricing model. Single-tenant VPC deployments with dedicated resources per customer.
2. Hybrid On-Premises: On-premises managed service with split deployment where data plane runs in customer environment and control plane in Lightup cloud.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels5 records

Core offering

Lightup provides an enterprise data observability platform that continuously monitors and validates production data pipelines using AI-powered anomaly detection and agentic interfaces. The platform uses a pushdown query architecture that runs computation directly in the customer's data warehouse, ensuring data never moves. It offers no-code data quality checks, prebuilt ML models for anomaly detection, and agentic interfaces that integrate with Claude, Gemini, and Codex coding agents for natural-language workflow automation.

Product overview

Lightup is an enterprise data observability platform offering a unified product portfolio centered on its Data Observability Platform augmented by specialized modules. The core platform provides continuous monitoring and validation of production data pipelines using AI anomaly detection and agentic interfaces. Key modules include Genie (Beta) - a GenAI copilot for natural language-based data quality task automation, Agent (Beta) - an agentic interface for Claude/Gemini-powered workflow automation, Recommendations for automated optimization suggestions, AI Anomaly Detection using prebuilt ML models, Sliced Metrics for business-grouped monitoring, Dashboards for visual reporting, Data Lineage for traceability, Data Reconciliation for discrepancy detection, Data Remediation for automated issue resolution, Zero-Config Auto Metrics for automatic metric generation, and Unstructured Data Quality for non-SQL data sources. The platform supports two deployment options: Lightup Cloud (SaaS, single-tenant) and Lightup Hybrid (on-premises with split data/control plane). A Python SDK (lightctl) enables programmatic access for automation.

Differentiator

Problem solved

Functional benefit

Brands

• Genie: Lightup's GenAI assistant (Beta) that helps automate common tasks such as enabling and disabling data quality checks.
• Lightup Agentic

Products and services

• Data Observability Platform Enterprise data observability platform that continuously monitors and validates production data pipelines using AI-powered anomaly detection, prebuilt ML models, agentic interfaces, data lineage, reconciliation, and remediation. Targeted at enterprise data engineering teams, data analysts, and data stewards requiring scalable data quality monitoring across multiple data sources and warehouses.
• Lightup Cloud SaaS deployment option where the entire Lightup system runs in the Lightup cloud environment on AWS. Delivered as single-tenant deployments with dedicated resources (EC2, RDS) not shared with other customers.
• Lightup Hybrid On-premises managed service with split architecture: the data plane runs in the customer's environment (VM or Kubernetes) while the control plane runs in the Lightup cloud. Data never leaves the customer environment.
• Python SDK (lightctl) Python SDK providing wrapper classes for accessing Lightup workspaces, metrics, monitors, incidents, datasources, and users programmatically. Companion to Lightup's REST API for automation and integration into developer workflows.

Quantifiable outcome

• McDonald's successfully deploys thousands of data quality checks across global operations
• +1 more outcomes

Named customers8 records

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration31 records

AI capability8 records

Feature10 records

Partnerships

16 partnerships are on record, tiered flagship and core.

• DatabricksflagshipTechnology or IntegrationPrebuilt connector for Databricks enabling data quality monitoring. Supports Databricks Unity Catalog integration. Available via Partner Connect for streamlined onboarding.
• SnowflakeflagshipTechnology or IntegrationSnowflake AI Data Cloud Products Partner Select status. Prebuilt connector for proactive data quality monitoring ensuring reliable data for Snowflake workloads.
• PagerDutycoreTechnology or IntegrationIntegration delivers real-time data quality incident monitoring and response. When Lightup detects anomalies, alerts are sent to PagerDuty for team notification and escalation.
• AlationcoreTechnology or IntegrationIntegration activates Alation's Catalog and Lineage with Lightup's data health insights, ensuring accurate Trust Flags and alerts for data catalog users.
• CollibracoreTechnology or IntegrationBeta integration integrates Lightup's Data Quality scores in Collibra for data health insights, increasing data trust and user adoption.
• DremiocoreTechnology or IntegrationConnector enables self-service Data Quality checks for Dremio, ensuring reliable data for analytics without manual coding.
• Kafka (ksqlDB)coreTechnology or IntegrationksqlDB connector enables data quality monitoring for streaming data in Kafka, treating Kafka Topics as tables with auto-generated schemas. Beta release.
• Amazon RedshiftcoreTechnology or IntegrationConnector for Redshift Data Warehouse or Redshift Serverless to query data and metadata for all tables requiring monitoring.
• Google BigQuerycoreTechnology or IntegrationConnector monitors Data Quality metrics, detects anomalies, and provides incident alerts before downstream impact.
• Microsoft AzurecoreTechnology or IntegrationConnector monitors Data Quality metrics, detects anomalies, and provides incident alerts for Azure environments.
• Amazon Web Services (AWS)coreTechnology or IntegrationAWS S3 connector runs data quality checks, identifies outliers, and provides alerts. VPC peering and PrivateLink support for AWS connectivity.
• SlackcoreTechnology or IntegrationIntegration provides instant alerts in Slack when Lightup detects Data Quality incidents, enabling smooth collaboration for faster triaging.
• Microsoft TeamscoreTechnology or IntegrationIntegration notifies teams in Microsoft Teams when Lightup detects Data Quality anomalies, enabling efficient workflows for proactive resolution.
• JiracoreTechnology or IntegrationIntegration creates Jira tickets automatically from Lightup workspaces to track and manage Data Quality incidents, streamlining operational workflows.
• ServiceNowcoreTechnology or IntegrationIntegration creates ServiceNow tickets to track and manage Lightup Data Quality incidents seamlessly from Lightup workspaces.
• Amazon Web Services (AWS)coreTechnology or IntegrationAWS is the primary hosting service for Lightup Cloud deployments. Single-tenant VPC deployments on dedicated EC2 machines and RDS databases per customer.

Scale indicators4 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Datafold: Data observability and data diff platform focused on data testing, monitoring, and reconciliation across modern data stacks. Competes with Lightup on data reconciliation and pipeline change-impact monitoring.
• Soda: Data quality and observability tooling with data contracts, checks-as-code, and warehouse-native monitoring. Competes with Lightup on the data-engineering side of the same enterprise data quality category.
• Anomalo: AI-based data quality platform focused on automated anomaly detection for enterprise data warehouses. Closely comparable to Lightup's AI Anomaly Detection value proposition and Fortune 500 go-to-market motion.
• Bigeye: Data observability platform offering automated data quality checks, anomaly detection, and metrics monitoring on cloud data warehouses. Targets the same enterprise data teams and competes head-to-head with Lightup's anomaly detection and freshness/completeness monitoring.
• Acceldata: Enterprise data observability platform covering data quality, pipeline reliability, and infrastructure monitoring. Overlaps with Lightup's hybrid deployment and Fortune 500 observability positioning.
• Monte Carlo Data: Enterprise data observability platform providing data quality monitoring, anomaly detection, and lineage across cloud data warehouses. Closely competes with Lightup in the same Fortune 500 data-team segment with overlapping Databricks/Snowflake integrations.
• Great Expectations: Open-source data quality framework for testing, documenting, and profiling data pipelines. Overlaps with Lightup's no-code data quality monitoring use case, particularly for teams that prefer open-source-first deployments.

Broad incumbents

• Alation: Enterprise data catalog with data quality and lineage signals. Lightup has a native integration with Alation; Alation competes indirectly as a broader data intelligence incumbent rather than as a focused observability tool.
• Collibra: Enterprise data intelligence and governance platform with an integrated data quality module. Lightup has a beta Collibra integration, indicating overlap in catalog-and-quality workflows; Collibra is the broader platform incumbent.
• Informatica: Large incumbent data management suite with a deep Data Quality product line spanning profiling, cleansing, and monitoring. Competes with Lightup in enterprise data quality but as part of a much broader integration/data governance portfolio.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/lightup-data/lightup
• Xx.com/LightupData

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds3 records

Investors8 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Lightup