⚡️ DaLMatian - Supercharge your data team

Hi everyone, Alan, Jason, and Derrick here – 3 friends from undergrad at Princeton, pooling together our experience in analytics at Riskified, AI at Google Research, and engineering at Google & Duolingo to solve a burning pain point for companies: expanding data accessibility and analyst bandwidth.

❌ The Problem: Data Accessibility and Analyst Bandwidth
Self-serve analytics has never been a reality. Inevitably business stakeholders must rely on analysts to get their data questions answered, leading to a bottleneck that not only slows down decision-making but also bogs down analysts with routine requests and prevents them from maximizing their impact on the company.

✨ Our Solution: DaLMatian
With DaLMatian, business stakeholders get their questions answered immediately, while data analysts cut out time spent on ad-hoc questions and instead focus on the highest impact analysis that directly drives revenue growth.

⚙️ How It Works
Getting started takes <5 minutes. For any database, any size, any level of complexity – simply open a file of past queries to get started. The Data Analyst Language Model (DaLM) then learns the business logic behind the queries and improves with more use.

The application is fully on-prem/local – we do not track anything. Furthermore, no actual data from your database leaves your environment. Schema and query code are sent to the LLM, but no actual data. Any PII in query code is masked as well.

🙏 Our Ask
We would love intros to leaders looking to supercharge their data team! Feel free to share our demo video and shoot us an email at founders@dalmatian.ai.