Data Engineering Startups

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.

3 investors

Versori provides data integration software for enterprises to build custom integrations between complex systems. The platform is designed to replace time-consuming custom development and rigid pre-built connectors with an intelligent, cost-effective solution.

3 investors

Whaly provides a data platform with enterprise-grade security and governance features for sales teams and data operations. The platform enables organizations to centralize data, manage access controls, and automate compliance while serving mid-to-large enterprises across industries.

3 investors

Zeit AI builds an autonomous AI system that connects enterprise data sources, prepares data, and converts business questions into operational applications for operators and managers in European companies.

3 investors

Zumo Labs creates synthetic training datasets for computer vision applications including autonomous vehicles, robotics, and security systems, offering an alternative to manual data collection and labeling.

3 investors

Alkera is an AI agent for data teams that automates data pipeline development, testing, and debugging across various data platforms. It provides column-level lineage tracking, end-to-end pipeline generation, and legacy pipeline modernization for enterprises managing complex data stacks.

2 investors

Data Mechanics built a managed data engineering platform running Apache Spark on Kubernetes. The company was acquired by NetApp in 2021 and integrated into the Spot.io portfolio as "Ocean for Apache Spark".

2 investors

Etleap offers an ETL (extract, transform, load) tool for building and maintaining data pipelines, automating most setup and maintenance so that analysts rather than engineers can manage them. It targets enterprise data teams and operates in the data infrastructure category.

2 investors

Evidence is a browser-based IDE for building interactive data dashboards and reports using SQL and markdown, with AI-powered development tools and support for multiple database backends. The platform targets data analysts and developers who need to create publication-quality visualizations and share data products with enterprise-grade security and performance.

2 investors

Hebbian Robotics builds open-source SDKs and data-quality infrastructure for Physical AI data pipelines, helping robotics foundation model labs filter, label, and curate large volumes of egocentric video data. Its tools let data teams write quality checks as Python functions with durable execution, observability, and auditability.

2 investors

Hydra provides analytics query execution for Postgres databases with separated compute resources, automatic scaling, and built-in caching, designed for time series and event data workloads across multiple deployment environments.

2 investors

Kilvin provides a workspace platform and custom software development service for building and deploying internal tools, dashboards, and workflow automation. The company offers both self-service workspace functionality powered by AI agents and managed services where engineers design and build tools tailored to client specifications.

2 investors

LabelFlow develops image-labeling tools and a dataset marketplace to support the creation of computer vision and AI models at scale. It positions itself as a version-control-style platform for visual data.

2 investors

Lamin provides a lineage-native lakehouse platform for biological R&D that enables scientists to query, trace, and validate complex biological datasets across academia, biotech, and pharma. The platform integrates data versioning and cataloging capabilities to close the feedback loop between experimental results and machine learning models.

2 investors

Litmus is a hiring platform that evaluates software engineers through practical assessments aligned with how modern engineering teams actually work, replacing traditional interview processes.

2 investors

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.

2 investors

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.

2 investors

Meteor is an agentic browser that combines traditional browsing functionality with intelligent task automation to execute actions on behalf of users. The product targets users seeking personal assistant-like automation capabilities within a browser environment.

2 investors

Osseus builds a permissioned research brain that connects tools and data across R&D teams to surface past experiments, expert knowledge, and next actions. The platform serves technical and research teams in biotech, manufacturing, and similar knowledge-intensive industries by maintaining continuous memory of how work evolved and preventing repeated efforts.

2 investors

PeerDB provides fast and cost-effective data replication from PostgreSQL to data warehouses including Snowflake, BigQuery, and ClickHouse, as well as to event queues like Kafka and EventHubs. The open-source tool and commercial cloud service enable change data capture and parallel data migration for engineering and data teams.

2 investors

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

2 investors

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.

2 investors

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

2 investors

Versable provides AI-powered data enhancement and cleaning for automotive aftermarket parts listings, helping manufacturers, retailers, and distributors standardize product catalogs and generate market-ready content across multiple platforms.

2 investors