Build Data-Powered Apps

DML emerged from the innovative minds behind Looker (acquired by Google). We're revolutionizing how data professionals interact with LLMs by providing a specialized middleware that understands the nuances of data work.

As product builders, we always had the challenge for building reliable data consumer applications: complex data models, intricate transformations, vendor lock-in, errors from manually written data pipelines. While general AI solutions promise to help, they often fall short when dealing with real-world data complexities – we've proven this through extensive benchmarking (check out our Benchmark App).

Our platform was built specifically for data work, using context-aware code generation that understands:
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• LookML and dbt models
• SQL optimization patterns
• Data pipeline orchestration
• Dimensional modeling principles

Instead of generating isolated snippets, DML creates complete, production-ready codebases that integrate seamlessly into either the rest of the existing data stack, OR as part of the new AI app (specificially, with a custom RAG or fine-tuned Model). Focus on describing your data transformation needs in plain language, and we'll generate battle-tested code that follows best practices.

For engineers, this means faster development of modular data models. For product managers, it's the power to build complex data-rich apps without getting lost in implementation details.

We're not replacing "anyone's ability to code" – we're amplifying it. By making code generation intelligent and context-aware, we're enabling data teams to focus on strategy while delivering results 10x faster.