Data Engineering Startups

Lume built software to automate customer data integration for engineering teams, using AI to discover schemas, map data, validate quality, and generate code automatically. The company has closed operations.

1 investor

Magma helps companies that build AI agents package and license their agents' interaction data — traces, corrections, and completed workflows — to AI labs, paying those companies a revenue share. It handles onboarding, data mapping, and packaging so agent logs that would otherwise be discarded can be monetized.

1 investor

Markov Studios captures screen recordings and interaction data from real computer use to create datasets that machine learning models can learn from. The company produces labeled data from real workflows in productivity software and video games.

1 investor

Melder is an AI-powered Excel assistant that generates formulas, creates charts and visualizations, and cleans data automatically. It serves business professionals and analysts who work with spreadsheets and financial data.

1 investor

Mica provides AI agents that automatically identify and resolve data quality errors in data pipelines, reducing the need for manual human intervention and lowering operational costs for data-driven organizations.

1 investor

Midplane is a database access control layer that sits in front of PostgreSQL as an MCP server, enforcing query-level policies and data masking before queries execute. It provides audit logging, role-based access controls, and column-level masking for AI agents and applications querying databases.

1 investor

Monosi provides a data observability platform that helps teams monitor and maintain the quality and reliability of their data systems.

1 investor

MovingLake provides real-time API integrations that sync data between enterprise systems like ERPs, CRMs, and data warehouses, with support for event-driven architectures and minimal data drift.

1 investor

Narrator provides a data platform that lets analysts define user journeys and answer business questions through dashboards and exported reports, designed to reduce the time and warehouse costs required for data analysis.

1 investor

Olam Labs builds multiplayer game environments — such as no-limit Texas hold'em, Risk-style conquest, Codenames-style word deduction, and market simulations — to study how AI agents negotiate, socialize, and compete alongside humans. It also runs large-scale internal simulations with hundreds of concurrent agents and publishes notable research runs.

1 investor

Operator.io provides a platform for deploying OpenClaw agents that integrate with thousands of applications including Gmail, Notion, and Stripe, enabling users to delegate routine tasks to an AI assistant.

1 investor

Outerbase provides a platform to democratize access to data across organizations, enabling users to query and interact with their data regardless of their role. The company serves teams and individuals who need on-demand access to databases and data infrastructure.

1 investor

Petrarch operates a marketplace that connects buyers and sellers of specialized datasets and proprietary information.

1 investor

Platypus is a platform that connects and automates data operations and processes across disparate systems and formats, serving both business operators and engineering teams.

1 investor

Polytomic is a data integration platform that provides ETL, Reverse ETL, CDC, and iPaaS capabilities for data teams. It enables users to sync data across databases, data warehouses, and business systems through a centralized interface.

1 investor

Quary provides an in-browser platform for analytics engineering that allows data analysts to develop, test, and deploy data models without leaving their browser, enabling them to work more independently from data engineering teams.

1 investor

Sanifu provides a platform for automating manual data handling tasks like cleaning, validation, reconciliation, and report consolidation across finance, operations, and marketing functions. The system captures and repeats defined workflows to move data from various sources into dashboards and other systems without requiring spreadsheets, scripts, or custom coding.

1 investor

Sarus enables organizations to extract value from data while maintaining privacy protections. The company provides data analysis and optimization capabilities designed for enterprises seeking to leverage data without compromising individual data protection.

1 investor

Satsuma provides infrastructure for developers to extract, transform, and query blockchain data from multiple networks via APIs. The platform addresses the technical challenge of accessing distributed ledger information for web3 application development.

1 investor

SBX Robotics creates synthetic training images for robot computer vision systems using simulation, enabling companies to generate large labeled datasets from minimal seed imagery at a fraction of traditional annotation costs.

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

Sourceress uses machine learning to match job candidates with open roles by defining job requirements, identifying suitable applicants, and contacting them with personalized messages; hiring managers report satisfaction with recommended candidates over 85% of the time.

1 investor

Stackshine provides software discovery and workflow automation for enterprise IT operations, helping organizations manage employee onboarding and offboarding, reduce software costs, and improve security.

1 investor

Streamdal provides code-native data privacy controls embedded directly in application code to detect and prevent personally identifiable information (PII) from being exposed in databases, data streams, or pipelines. The platform offers real-time data validation and privacy enforcement for applications across multiple programming languages.

1 investor