Altimate AI provides AI teammates that offer intelligent assistance across the entire data ecosystem, maintaining context and adapting to team standards. The platform accelerates dbt development by automating SQL conversion, documentation generation, and testing for data models. It also delivers automated infrastructure optimization, cost management, and migration planning across major cloud data warehouses.
Funding
Funding not disclosed
SVFounders
Product
Problem
Data teams often struggle with time-consuming and repetitive tasks such as generating data documentation, creating data quality tests, and explaining complex queries. These manual processes slow down data development workflows, increase infrastructure costs, and hinder effective data governance.
Solution
DataPilot provides AI-powered agents that integrate with data teams' existing tools to automate key tasks and accelerate data development. By leveraging context from the entire data stack, DataPilot autonomously generates data documentation, creates and implements data quality tests based on business logic, and provides insights and recommendations on SQL queries. This automation reduces infrastructure costs, enhances data governance, and saves users time by streamlining data development workflows. DataPilot's AI agents are available through VSCode extensions, Python packages, Slack integrations, and a SaaS UI, ensuring accessibility within the data team's preferred environment.
Target Audience
DataPilot is designed for analytics engineers, platform engineers, and data engineers who seek to automate repetitive tasks, improve data quality, and accelerate data development workflows.
Features
- AI-powered agents for automating data documentation, quality testing, and query explanations
- Integration with VSCode, Python, Slack, and SaaS UI for accessibility across data team workflows
- Autonomous generation of dbt models, tests, and documentation for analytics engineers
- Automated tuning of warehouse configurations and query optimization recommendations for platform engineers
- Accelerated workload migrations and data/query troubleshooting for data engineers
- Plain English implementation of data tests around business logic
- Query insights agent that serves as an expert for SQL queries
- Metadata-only architecture ensuring data security and privacy
- Multi-tenant architecture for scalability
- No LLM training on customer data