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Top 50 Data Labeling Service in Europe
Discover the top 50 Data Labeling Service startups in Europe. Browse funding data, key metrics, and company insights. Average funding: $12.3M.
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Paris, France
Isahit provides an ethical data labeling platform that utilizes a human-in-the-loop approach to ensure high-quality, bias-free annotations for AI training across various datasets, including computer vision and natural language processing. The platform addresses the need for accurate data labeling while creating meaningful job opportunities in developing countries, thereby promoting social impact.
Zürich, Switzerland
Rapidata offers a platform for large‑scale human annotation and real‑time feedback, enabling AI developers to collect labeled data and evaluate model performance quickly. Its network of annotators across 192 countries provides unbiased, high‑quality labels for tasks such as classification, segmentation, ranking, and RLHF/DPO. The service integrates via API or web UI, delivering fast, cost‑effective insights to accelerate model training and deployment.
Funding: $3.1M
Rough estimate of the amount of funding raised
Funding: $3.1M
Rough estimate of the amount of funding raised
London, United Kingdom
V7 is an AI training data platform that provides high-quality image and video annotations for computer vision models, utilizing AI-assisted labeling tools to enhance accuracy and efficiency. The platform addresses the challenge of slow and error-prone data labeling processes by streamlining workflows and enabling rapid deployment of training data.
Funding: $43.3M
Rough estimate of the amount of funding raised
Radical VenturesTemasek Holdings
Radical VenturesTemasek Holdings
Funding: $43.3M
Rough estimate of the amount of funding raised
Karlsruhe, Germany
understand.ai provides AI-driven data annotation solutions specifically designed for autonomous driving applications. Their automated annotation platform enhances the efficiency and accuracy of large-scale validation projects, addressing the high costs and time constraints associated with manual labeling.
London, United Kingdom
Rabbitt.AI develops reliable generative AI solutions by leveraging enterprise data to create custom large language models and high-quality training datasets. The platform addresses the challenge of inconsistent AI performance by providing precise data annotation and AI-assisted quality checks, ensuring accurate and effective model outputs.
Funding: $2.1M
Rough estimate of the amount of funding raised
TechCurators
TechCurators
Funding: $2.1M
Rough estimate of the amount of funding raised
Paris, France
Kili Technology provides tailored data annotation and evaluation services for large language models, utilizing expert-led project management to streamline the data pipeline. This approach eliminates data bottlenecks, enabling companies to enhance model performance and accelerate AI project deployment.
Funding: $31.9M
Rough estimate of the amount of funding raised
Balderton Capital
Balderton Capital
Funding: $31.9M
Rough estimate of the amount of funding raised
Göteborg, Sweden
Kognic offers a data annotation platform specifically designed for sensor-fusion datasets, enabling efficient management and accurate labeling of complex multi-sensor data. By utilizing an auto-label co-pilot, Kognic reduces annotation time by up to 68%, addressing the high costs and complexities associated with generating and curating representative datasets.
Funding: $42.8M
Rough estimate of the amount of funding raised
Funding: $42.8M
Rough estimate of the amount of funding raised
Paris, France
Phospho provides a data analytics platform for large language model (LLM) applications, enabling product managers to quantify user engagement, application quality, and usage metrics through real-time data integration and analysis. The platform addresses the challenge of understanding user interactions and feedback, allowing businesses to make informed decisions and reduce churn.
Funding: $2.4M
Rough estimate of the amount of funding raised
Elaia
Elaia
Funding: $2.4M
Rough estimate of the amount of funding raised
Barcelona, Spain
Pienso provides a no-code platform for training and deploying customized Large Language Models (LLMs) using both structured and unstructured data, enabling users to categorize, label, and analyze their data efficiently. The solution ensures data privacy by operating in the user's environment, allowing businesses to gain real-time insights while maintaining control over their sensitive information.
Funding: $29.2M
Rough estimate of the amount of funding raised
Latimer Ventures
Latimer Ventures
Funding: $29.2M
Rough estimate of the amount of funding raised
Graz, Austria
Blackshark.ai provides a geospatial platform that generates real-time, photorealistic 3D digital twins of the Earth using satellite and aerial imagery processed through machine learning. This technology enables accurate visualization and analysis of global infrastructure, facilitating applications in urban planning, risk assessment, and simulation without the need for extensive coding expertise.
Funding: $35M
Rough estimate of the amount of funding raised
Funding: $35M
Rough estimate of the amount of funding raised
Toulouse, France
Picsellia provides a complete MLOps platform specifically designed for building, training, monitoring, and deploying computer vision applications. The platform integrates data management, custom labeling tools, experiment tracking, and model monitoring within a unified environment. This allows enterprises to structure visual assets, streamline annotation workflows, and manage the full lifecycle of their deep learning computer vision models efficiently.
Funding: $3.4M
Rough estimate of the amount of funding raised
Axeleo Capital
Axeleo Capital
Funding: $3.4M
Rough estimate of the amount of funding raised
Zürich, Switzerland
Caplena provides a text analysis platform that utilizes collaborative AI to automatically categorize and tag open-ended customer and employee feedback, enabling topic-level sentiment analysis. This technology significantly reduces the time required for data processing, allowing organizations to quickly extract actionable insights from large volumes of qualitative data.
Funding: $4.7M
Rough estimate of the amount of funding raised
Inveready
Inveready
Funding: $4.7M
Rough estimate of the amount of funding raised
Budapest, Hungary
aiMotive provides an end‑to‑end platform that automates sensor data ingestion, AI‑assisted labeling, and photorealistic simulation while delivering modular, ISO‑26262‑aligned perception, planning, and control software for radar‑camera‑only ADAS and automated driving. The integrated cloud‑based NPU emulator enables faster‑than‑real‑time software‑in‑the‑loop testing within CI/CD pipelines, helping OEMs and Tier‑1 suppliers reduce development time and validation costs for L2‑L4 features.
Funding: $20M
Rough estimate of the amount of funding raised
Funding: $20M
Rough estimate of the amount of funding raised
Munich, Germany
RYVER provides diverse synthetic medical images with pixel-level annotations to reduce bias in radiology AI training datasets. This technology enables AI developers to generate high-quality data in minutes, achieving cost savings of 80-90% compared to traditional data acquisition methods.
Funding: $1.4M
Rough estimate of the amount of funding raised
Nina Capital
Nina Capital
Funding: $1.4M
Rough estimate of the amount of funding raised
London, United Kingdom
SKY ENGINE AI provides a Synthetic Data Cloud that generates multimodal synthetic data for training deep learning models in computer vision, significantly reducing the need for real-world image acquisition. This technology enhances model accuracy by up to 4150% and accelerates AI development cycles by up to 3340 times, addressing the challenges of data scarcity and high costs in various industries such as automotive, healthcare, and robotics.
Funding: $9.2M
Rough estimate of the amount of funding raised
Cogito Capital Partners
Cogito Capital Partners
Funding: $9.2M
Rough estimate of the amount of funding raised
Lisbon, Portugal
Defined.ai provides a marketplace for ethically sourced training data, specializing in diverse datasets for speech recognition, natural language processing, and medical image analysis. The company addresses the need for high-quality, bias-free data that complies with ethical and legal standards, enabling organizations to develop AI solutions responsibly and effectively.
Funding: $81.9M
Rough estimate of the amount of funding raised
Funding: $81.9M
Rough estimate of the amount of funding raised
Vienna, Austria
This company offers an AI-powered optical character recognition (OCR) technology that extracts data from images, including barcodes and QR codes, directly on devices. Their solution converts scanned text into editable data without requiring a server connection, enabling offline data extraction for various applications.
Funding: $20M
Rough estimate of the amount of funding raised
Yttrium
Yttrium
Funding: $20M
Rough estimate of the amount of funding raised
Vilnius, Lithuania
Know Your Food is a mobile app that provides detailed insights into food products by analyzing data beyond standard labeling, such as sourcing, nutritional content, and potential allergens. This transparency helps consumers make informed dietary choices and understand the origins and quality of their food.
Founded 2020
Edinburgh, United Kingdom
Malted AI develops custom Small Language Models (SLMs) that are 10-100 times smaller and more efficient than traditional Large Language Models, enabling enterprises to deploy domain-specific AI solutions at a significantly reduced cost. Their distillation technology automates data generation for training SLMs, addressing the inefficiencies and high costs associated with manual data annotation.
Funding: $6.2M
Rough estimate of the amount of funding raised
Hoxton Ventures
Hoxton Ventures
Funding: $6.2M
Rough estimate of the amount of funding raised
Manchester, United Kingdom
Calibrtr provides end‑to‑end AI services for enterprises, designing, building, and operating custom machine‑learning models and data pipelines aligned with specific business KPIs. Their managed MLOps platform handles deployment, real‑time monitoring, drift detection, and ongoing optimization, delivering measurable impact without requiring in‑house AI expertise.
Founded 2024
Schaffhausen, Switzerland
Viso Suite provides an end-to-end computer vision infrastructure that enables enterprises to collect, annotate, train, and deploy AI models for real-world applications. This platform addresses the challenges of managing complex data workflows and scaling AI solutions by offering a unified system that enhances operational efficiency and reduces time-to-value.
Funding: $9.5M
Rough estimate of the amount of funding raised
Accel
Accel
Funding: $9.5M
Rough estimate of the amount of funding raised
Berlin, Germany
SpeedComply provides tailored compliance services for food and drink businesses in Germany, focusing on formulation, labeling, and packaging to ensure adherence to local regulations. By integrating with client teams, SpeedComply accelerates market entry while reducing the costs associated with regulatory compliance.
Founded 2024
Moscow, Russia
Jetlex utilizes artificial intelligence to automatically extract data from various document formats and input the information into structured databases. This technology reduces manual data entry errors and accelerates data processing, enhancing operational efficiency for businesses.
Founded 2018
Paris, France
Mindee provides an AI-driven platform for precise data extraction from various document types, significantly reducing manual data entry errors by up to 30%. The solution enables businesses to automate complex workflows, enhancing operational efficiency and cutting turnaround times by 57%.
Funding: $23.3M
Rough estimate of the amount of funding raised
AGORANOVBpifranceNotable Capital
AGORANOVBpifranceNotable Capital
Funding: $23.3M
Rough estimate of the amount of funding raised
Saarbrücken, Germany
Natif.ai provides an intelligent document processing platform that utilizes AI and deep learning to convert unstructured documents into structured data, enabling precise data extraction and automated classification. This technology addresses the inefficiencies and errors associated with manual document handling, significantly improving processing speed and accuracy for businesses.
Funding: $5.5M
Rough estimate of the amount of funding raised
redalpine
redalpine
Funding: $5.5M
Rough estimate of the amount of funding raised
Norderstedt, Germany
ScaleHub provides a hybrid platform that uses AI for document classification and data extraction combined with a secure, on‑demand crowdsourced workforce for verification. The solution delivers near‑real‑time, privacy‑compliant processing of high‑volume documents—such as prescriptions, tax forms, and mailroom items—while achieving over 99% accuracy and reducing costs by more than 30%. It enables enterprises to instantly scale capacity without permanent staff, handling spikes from tens of thousands to millions of forms.
Funding: $8M
Rough estimate of the amount of funding raised
DN Capital
DN Capital
Funding: $8M
Rough estimate of the amount of funding raised
London, United Kingdom
Nexus FrontierTech provides modular plug-and-play automation solutions powered by its proprietary AI platform, Podder, which specializes in data extraction and management. This technology accelerates enterprise decision-making by enabling organizations to efficiently process and analyze diverse data sets, enhancing operational accuracy and speed.
Funding: $6.1M
Rough estimate of the amount of funding raised
Global FinTech Hackcelerator
Global FinTech Hackcelerator
Funding: $6.1M
Rough estimate of the amount of funding raised
Berlin, Germany
Explosion develops developer tools such as spaCy and Prodigy for natural language processing, machine learning, and data annotation, enabling efficient text analysis and model training. Their solutions address the challenges of data labeling and model deployment, facilitating the creation of robust AI applications across various industries.
Funding: $9M
Rough estimate of the amount of funding raised
SignalFire
SignalFire
Funding: $9M
Rough estimate of the amount of funding raised
Zug, Switzerland
The startup offers a data intelligence and automation platform that enables organizations to manage unstructured data effectively by identifying and eliminating redundant and outdated information. This approach significantly reduces infrastructure costs while providing insights into data state and availability, thereby mitigating data risks and enhancing operational efficiency.
Funding: $13M
Rough estimate of the amount of funding raised
Funding: $13M
Rough estimate of the amount of funding raised
Brussels, Belgium
Segments.ai provides a data labeling platform designed for computer vision engineers working with robotics and autonomous vehicle data. The platform specializes in simultaneous multi-sensor annotation, enabling consistent and accurate labeling across 2D images and 3D point clouds. Key features include efficient 3D cuboid projection, ML-powered tracking, and advanced image segmentation tools to accelerate ground truth generation.
Funding: $1M
Rough estimate of the amount of funding raised
Volta Ventures
Volta Ventures
Funding: $1M
Rough estimate of the amount of funding raised
Bucharest, Romania
Artsys offers an edge‑automation portfolio that combines laser marking, collaborative robots, vision systems, robotic cells, and labeling equipment into modular, turnkey solutions for manufacturers. Its middleware platform connects these devices to existing MES/ERP systems, enabling real‑time monitoring, data collection, and low‑code orchestration to boost throughput, reduce defects, and improve traceability.
London, United Kingdom
Tuba.AI is a no-code platform that enables users to develop AI computer vision applications by providing tools for automatic image labeling, model training, and deployment without requiring coding skills. This solution addresses the challenge of accessibility in AI development, allowing businesses to efficiently implement computer vision technology tailored to their specific needs.
Funding: $27.7K
Rough estimate of the amount of funding raised
Funding: $27.7K
Rough estimate of the amount of funding raised
Poli, France
AI Verse provides a self-service platform that generates high-quality, fully labeled synthetic image datasets using procedural technology for training computer vision applications. This solution addresses the challenges of acquiring real-world data by enabling users to customize scene parameters and produce diverse datasets quickly and efficiently.
Funding: $3M
Rough estimate of the amount of funding raised
Turenne Capital
Turenne Capital
Funding: $3M
Rough estimate of the amount of funding raised
Tallinn, Estonia
Co-one offers a data-centric platform that combines AI and human expertise to provide model evaluation solutions for generative AI, focusing on uncertainty assessment and continuous learning. Their customizable APIs and data annotation services enhance the performance and accuracy of AI models, enabling enterprises to effectively manage complex data.
Funding: $980K
Rough estimate of the amount of funding raised
Funding: $980K
Rough estimate of the amount of funding raised
Zürich, Switzerland
Lightly provides a data curation platform that utilizes self-supervised learning and active learning techniques to optimize the selection of training data for machine learning models. By reducing data redundancy and bias, Lightly enables companies to achieve up to 92% lower labeling costs and improve model accuracy by 19%.
Funding: $4.2M
Rough estimate of the amount of funding raised
Funding: $4.2M
Rough estimate of the amount of funding raised
Paris, France
Galeio offers foundation models for processing complex visual data like satellite imagery and radar, enabling faster AI development with reduced manual labeling. Their locally deployable solutions integrate with existing infrastructure, providing secure and adaptable analytics for sectors such as energy and environmental monitoring.
Baarn, Netherlands
Modat provides a specialized Internet Search Index Solution and On-Demand Scanning Services that utilize machine learning to identify and analyze malicious infrastructures in real time. By delivering contextualized data at scale, Modat enhances the decision-making capabilities of security teams, enabling them to detect and respond to cyber threats more effectively.
Brussels, Belgium
DATA SWEEP is an AI-driven platform that automates the data collection process by providing ready-to-use datasets, dataset cleaning, and merging capabilities. It enables researchers to efficiently access reliable data, allowing them to focus on analysis and insights rather than time-consuming data processing tasks.
Sissach, Switzerland
Parashift provides an Intelligent Document Processing platform that utilizes Document Swarm Learning® and One Touch Learning® to automate the extraction and classification of data from over 400 document types. This technology significantly reduces the time spent on manual document processing, enabling organizations to enhance operational efficiency and accuracy while maintaining compliance with data security standards.
Metz, France
The startup offers an environmental footprint analysis platform that enables fashion brands to monitor and score the environmental impact of their products throughout the supply chain. This tool facilitates compliance with mandatory environmental labeling requirements, allowing marketers to quantify and communicate the sustainability of their offerings.
Funding: $1M
Rough estimate of the amount of funding raised
Funding: $1M
Rough estimate of the amount of funding raised
Paris, France
Tryhuman provides a managed marketplace of vetted human annotators for image, text, audio, and video labeling, offering an end‑to‑end workflow that includes task design, quality assurance, and secure data handling. The platform integrates via API/SDK into existing machine‑learning pipelines and supplies real‑time analytics on progress, cost, and accuracy, enabling AI teams to obtain high‑quality training data at scale while reducing turnaround time and expense.
Berlin, Germany
Hasty provides a computer vision annotation and model development platform integrated into CloudFactory’s AI Data Platform, enabling manufacturers and agricultural companies to enhance their products with vision AI capabilities. This integration streamlines AI-driven workflows, improving the efficiency and accuracy of data processing for high-value industries.
Intel Ignite
Laç, Poland
Alphamoon provides an AI-based platform for automated document processing, utilizing OCR technology to classify, extract, and manage data from various document types, including invoices and identity documents. This solution streamlines workflows for businesses by significantly reducing the time spent on manual data entry and document organization.
Funding: $2.2M
Rough estimate of the amount of funding raised
Sunfish Partners
Sunfish Partners
Funding: $2.2M
Rough estimate of the amount of funding raised
London, United Kingdom
The startup has developed an artificial intelligence platform that utilizes computer vision and natural language processing to extract data from scans, images, and machine-readable text in any language. This technology enables businesses to automate back-office tasks and process documents accurately within minutes, eliminating the need for template creation or coding.
Funding: $660K
Rough estimate of the amount of funding raised
AI Seed
AI Seed
Funding: $660K
Rough estimate of the amount of funding raised
London, United Kingdom
KAPTO AI provides Intelligent Document Processing to fully automate end-to-end business workflows rooted in document understanding. The platform autonomously analyzes various input formats to categorize data, extract necessary information, and flag discrepancies without human intervention. This SaaS solution reduces manual allocation to repetitive tasks, improving process accuracy and allowing focus on high-value activities.
Funding: $885.9K
Rough estimate of the amount of funding raised
Funding: $885.9K
Rough estimate of the amount of funding raised
Witten, Germany
ekko provides a hardware-independent SaaS platform for the plug-and-play digitization of shopfloor processes. This solution integrates standard hardware like Pick-by-Light and ESL systems seamlessly into existing IT architectures via an open REST API. The platform enables configurable automation, reducing manual work steps and improving operational efficiency across manufacturing and logistics environments.
Funding: $2.3M
Rough estimate of the amount of funding raised
Funding: $2.3M
Rough estimate of the amount of funding raised
Bucharest, Romania
medDARE provides secured and anonymized medical image and video datasets, along with data curation services, to support healthcare AI projects. The company addresses the need for high-quality, compliant medical data by leveraging a network of hospital sites and a team of experienced professionals to ensure data integrity and regulatory adherence.
Vienna, Austria
Another Earth provides an AI‑driven simulation platform that generates fully annotated, photorealistic multispectral satellite imagery for land, water, and infrastructure. By procedurally creating unlimited variations and consistent temporal sequences, it supplies unbiased synthetic datasets that accelerate geospatial AI model training and enable scenario testing for monitoring, prediction, and decision‑making across industries such as mining and environmental monitoring.
Funding: $1.1M
Rough estimate of the amount of funding raised
Funding: $1.1M
Rough estimate of the amount of funding raised
Berlin, Germany
Talonic AI automates data management and analytics by integrating with existing data sources and utilizing artificial intelligence to generate insights and spreadsheets without manual input. This technology eliminates time-consuming data entry and reduces errors, enabling businesses to enhance productivity and decision-making efficiency.
Munich, Germany
This platform provides a straightforward software solution for wineries to generate legally compliant EU E-Labels for their wine products. Users can quickly upload analysis data and select ingredients to automatically create the required nutritional information and QR codes. The service ensures long-term online availability of the E-Labels and supports automatic translation for various EU markets.
Funding: $2.2M
Rough estimate of the amount of funding raised
Funding: $2.2M
Rough estimate of the amount of funding raised