Big Data Startups

Lariat provides data quality monitoring for data engineering teams, detecting data issues before they reach downstream users by tracking metrics across raw data and finished data products.

1 investor

Liva AI collects specialized training data for audio and video models used by AI research labs, addressing gaps in publicly available datasets. The company serves machine learning teams developing speech and video recognition systems.

1 investor

Narrator is a data platform built on the Activity Schema standard that lets data analysts model user journeys and answer analytics questions, with results used in dashboards, story-style analyses, and exports. It targets small data teams, emphasizing faster analysis and reduced warehouse compute costs.

1 investor

ObsessionDB is a real-time data warehouse designed to store and query the large volumes of data generated by software and AI agents, built on a modified fork of ClickHouse to make large datasets queryable at lower cost. It serves developers and companies building agent-based systems.

1 investor

ParaQuery provides data processing tools designed to reduce costs and improve efficiency for data teams. The platform optimizes workloads for popular data warehouses including BigQuery, Snowflake, and Redshift.

1 investor

Pleom is a business intelligence tool that automatically generates insights from company data and produces visualizations without requiring users to learn specialized skills.

1 investor

Sharpe provides quantitative traders with AI-powered tools and market data infrastructure to rapidly develop and deploy trading strategies, combining historical market information with high-performance computing resources.

1 investor

Monad is a security data pipeline platform that normalizes, filters, enriches, and routes security telemetry from any source to optimize SIEM costs and reduce alert noise for security teams.

1 investor

Terark builds a storage engine for databases and data systems that performs direct search on highly compressed data, offering faster read performance and reduced storage costs for big data applications. It positions its technology as an alternative to engines like Google's LevelDB and Facebook's RocksDB.

1 investor

Vortexify is a platform that generates custom operational software for manufacturing and supply chain teams, enabling them to build, deploy, and run data-driven applications without managing infrastructure.

1 investor