Artemis is an AI-powered knowledge graph that autonomously monitors data stacks, identifies issues, and implements fixes without accessing raw data. This technology reduces maintenance time by 80% and automates 70 hours of work monthly, enabling analysts to focus on actionable insights rather than troubleshooting.
Funding
$1.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Data teams spend excessive time on data stack maintenance, diverting resources from analysis and insight generation. Identifying and resolving issues across warehouses, dbt models, and BI tools requires significant manual effort. This reactive approach leads to inefficiencies and increased operational costs.
Solution
Artemis provides an AI-powered platform that autonomously monitors data stacks, identifies performance bottlenecks, and implements fixes without accessing raw data. By combining an insight engine with an agent task engine, Artemis proactively addresses issues across the data warehouse, dbt models, and BI tools. The platform offers continuous monitoring and context-powered resolutions, enabling data teams to shift from reactive troubleshooting to proactive optimization. Artemis integrates with existing data infrastructure, providing effortless observability and automated issue resolution.
Target Audience
Artemis is designed for data engineers, data analysts, and analytics engineering teams seeking to reduce maintenance overhead and optimize the performance of their data stacks.
Features
- Continuous monitoring of data warehouses, dbt models, and BI tools
- AI-powered insight engine that identifies issues and provides context-aware resolutions
- Automated issue resolution through an agent task engine
- Read-only access to metadata schema, ensuring data security and privacy
- Integrations with dbt to manage model bloat and optimize transformations
- Proactive identification of cost-saving opportunities within the data stack
- Customizable alerts and notifications for critical issues
- Support for SAML, SSO, and MFA for secure access control
- On-premise or VPC deployment options