Kurve’s patented technology rapidly accelerates the throughput and performance of AI and Machine Learning Models.
Kurve's AI and algorithms meet your data wherever it lives, running across your existing storage/compute infrastructure. Inferring meaning and enabling action from raw tabular data sources.
Our UI surfaces data from across multiple data sources in a single location that is searchable and exportable to execute-ready (SQL) to speed up analytics, AI/ML models, and feature engineering at the speed of thought.
Kurve automatically learns the relationships between datasets down at the column-level and up to the semantic level.
Optimized Analitycs
Kurve accelerates analytics workflows through a centralized source of truth. Reducing analytics costs, time to deliver, and increasing value from analytics teams.
MLOps
Kurve speeds up AI/ML model building by automating data discovery and understanding across multiple data sources. Producing execution ready SQL to develop feature engineering at the speed of thought. Reducing model production costs and increasing model performance.
Improved Rag
LLM outputs are enhanced with Kurve providing RAG with more reliable ground truth about your data. NL2SQL (natural language to SQL) conversion LLMs are enhanced by having a reliable index delivered by Kurve continuously from your data lake house.
Enriched Embeddings
Embeddings in a vector database are enriched by additional context provided through Kurve, resulting in faster lookups.
For MLOps professionals, Data Scientists, Data Engineers, Database Administrators and BI Analysts. Kurve is a tool designed to automate laborious foundational steps in the AI/ML assembly line.
Data Discovery & Feature Engineering should take the least amount of time possible. Our goal is not having you spend your day inside our tool. Kurve is designed to work seamlessly alongside your existing tools and platforms.
“You can’t understand what’s possible with your data estate until you actually know what is in it.”
Kurve delivers this.
You never pay for idle resources - just actual compute time, by the CPU cycle.
You select the Kurve algorithm, the data sources, the CPUs, and the schedule when to run.
Complete end to end control of costs.
