Delphina functions as a data agent that builds a living map of an organization's data landscape by integrating warehouse data and analyses. It allows users to query data using natural language within platforms like Slack, automatically planning analysis, writing SQL, and returning results. The platform also offers proactive workflow agents for monitoring metrics and governance tools for oversight and access control.
Funding
$7.5M 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.
CVFounders
Product
Problem
Data science teams face challenges in efficiently preparing data, engineering features, and building machine learning models, which can hinder predictive accuracy and operational efficiency. The process often requires significant manual effort and specialized expertise, creating bottlenecks in deploying and scaling machine learning pipelines.
Solution
Delphina provides an AI-powered data science platform that automates data preparation, feature transformation, and model building, enabling data science teams to accelerate the development and deployment of machine learning solutions. The platform discovers relevant data, cleans it, and builds sophisticated feature transformations to extract signal from noise. By integrating with existing MLOps infrastructure, Delphina allows teams to independently deploy machine learning pipelines, leading to improved model performance and faster time-to-value. The platform delivers features directly to data warehouses such as Snowflake and BigQuery.
Target Audience
Delphina is designed for data scientists, machine learning engineers, and AI teams seeking to automate and accelerate their model development and deployment processes.
Features
- Automated data discovery, cleaning, and preparation
- AI-driven feature engineering and transformation
- Support for building and training powerful machine learning models
- Integration with existing MLOps stacks for seamless deployment
- Double-digit percentage improvements in model performance reported by customers
- Direct feature delivery to Snowflake and BigQuery