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Top 50 Data Labeling Service - Series A
Discover the top 50 Data Labeling Service startups at Series A. Browse funding data, key metrics, and company insights. Average funding: $19.8M.
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Rapidata
Rapidata is a data processing platform that utilizes crowd intelligence to provide human-verified data labeling and processing services, enabling businesses to efficiently transform large datasets into actionable insights. By leveraging a global network of annotators across 192 countries, the platform ensures accurate and unbiased labeling tailored to specific regional preferences, significantly reducing the time and cost associated with data preparation.
Funding: $10M+
Rough estimate of the amount of funding raised
Kiva AI
Kiva AI provides scalable data labeling and annotation services, utilizing human feedback to enhance the quality of AI model training. By employing a diverse pool of vetted experts across various fields, Kiva ensures precise and reliable input, addressing the critical need for high-quality data in AI development.
Funding: $5M+
Rough estimate of the amount of funding raised
DefinedCrowd
The company provides an on‑demand data annotation platform that lets machine‑learning engineers upload audio, text, or image assets via a web UI or API and receive labeled data in standard formats ready for training pipelines. A global pool of vetted contributors performs task‑specific labeling, augmented by AI‑driven pre‑labeling and multi‑pass quality assurance, while role‑based access controls and encryption ensure compliance.
Funding: $10M+
Rough estimate of the amount of funding raised
Surge AI
Surge AI provides a data labeling platform that utilizes human feedback to enhance the training of large language models (LLMs). By delivering high-quality labeled data, Surge AI enables organizations to improve the accuracy and performance of their NLP applications.
Funding: $20M+
Rough estimate of the amount of funding raised
HumanSignal
HumanSignal provides a data labeling platform that combines automation and human oversight to prepare training data, fine-tune large language models, and evaluate AI outputs. This solution enhances model accuracy and efficiency while ensuring compliance and data security across various use cases and data types.
Sapien
Sapien provides custom data collection and labeling services for AI training, utilizing a decentralized workforce and a gamified platform to ensure high accuracy and scalability. The company addresses the challenge of obtaining quality training data for large language models by offering real-time human feedback and tailored annotation solutions across diverse industries.
Funding: $10M+
Rough estimate of the amount of funding raised
Datasaur
Datasaur provides a customized platform for data labeling, utilizing automation to enhance the efficiency of natural language processing (NLP) projects by up to 9.6 times. The company develops tailored large language models (LLMs) that address specific organizational data challenges, significantly reducing project costs by up to 70%.
Pareto.AI
Pareto.AI is a talent-first platform that connects AI companies with the top 0.01% of expert-vetted data labelers to provide high-quality training data for AI and LLM models. By offering same-day access to specialized teams and precise data labeling, the platform addresses the need for reliable and efficient data collection in AI development.
Funding: $5M+
Rough estimate of the amount of funding raised
Refuel.AI
Refuel.AI provides a platform that utilizes large language models (LLMs) to automate data labeling, cleaning, and enrichment for unstructured data, achieving over 95% accuracy. The solution significantly reduces engineering time, enabling enterprises to process millions of data points in hours rather than weeks.
Centaur Labs
Centaur Labs provides a medical AI platform that utilizes a global network of expert annotators for precise data labeling across various modalities, including text, audio, and imaging. This approach addresses the challenge of slow and inconsistent data annotation by ensuring high-quality labels through automated quality checks and performance metrics.
V7
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: $20M+
Rough estimate of the amount of funding raised
Kognic
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: $20M+
Rough estimate of the amount of funding raised
Perle AI
Perle AI provides an expert-in-the-loop data annotation and training platform that links vetted domain specialists with enterprise AI pipelines for multi-modal models. The modular workflow supports data acquisition, labeling, versioning, bias auditing, drift detection, and RLHF, delivering real-time visibility, audit trails, and continuous model refinement. By handling data management complexities, it enables AI teams in technology, healthcare, legal, finance, and research to scale high-quality, compliant training data.
Funding: $5M+
Rough estimate of the amount of funding raised
Watchful
Watchful provides a data-centric AI development platform that automates the labeling, classification, and validation of datasets for natural language processing and large language models. By enabling domain experts to control the training process, Watchful accelerates AI model development by 10-100 times compared to traditional methods.
Funding: $5M+
Rough estimate of the amount of funding raised
Kriptos
Kriptos utilizes AI algorithms to automatically analyze, classify, and label sensitive data, ensuring compliance with data protection policies. This technology enables organizations to manage access and usage of their critical information, reducing the risk of data breaches and enhancing overall cybersecurity posture.
Daivergent
The startup has developed an online crowd-working platform that connects enterprise clients with skilled individuals on the autism spectrum for tasks such as web research and data management. This platform enables companies to efficiently fulfill their data-labeling needs while providing meaningful employment opportunities for autistic workers.
Funding: $5M+
Rough estimate of the amount of funding raised
Kili Technology
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: $20M+
Rough estimate of the amount of funding raised
Encord
Encord is an AI data development platform that enables computer vision and multimodal AI teams to manage, curate, and annotate diverse data types, including images, videos, and documents, all in one place. By transforming unstructured data into high-quality training datasets, Encord enhances AI model performance and accelerates labeling processes, resulting in significant improvements in accuracy and efficiency.
Dataloop AI
DataLoops provides a data management and annotation platform that automates the preprocessing and curation of unstructured visual data, enabling the rapid generation of machine-readable datasets. This solution enhances the efficiency of AI application development by streamlining data pipelines and integrating human feedback for improved accuracy.
Funding: $20M+
Rough estimate of the amount of funding raised
Rendered.ai
Rendered.ai provides a platform for generating physics-based synthetic datasets tailored for computer vision applications, enabling the creation of accurately labeled data for rare events and edge cases that are difficult to capture with real sensors. This technology addresses the challenges of data scarcity and labeling accuracy, facilitating the development and training of AI and machine learning models across various industries.
Funding: $5M+
Rough estimate of the amount of funding raised
Pienso
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: $20M+
Rough estimate of the amount of funding raised
Outlier AI
Outlier AI connects AI development companies with a global network of domain experts for specialized data annotation and model evaluation. The platform facilitates remote, flexible work, enabling experts to improve AI model accuracy through tasks like rating AI outputs and evaluating multi-modal data.
Funding: $20M+
Rough estimate of the amount of funding raised
Voxel51
Voxel51 provides the FiftyOne platform, which enables machine learning and computer vision teams to efficiently curate, visualize, and manage large datasets while automating the identification of annotation errors. This technology enhances model performance by ensuring high-quality data is readily available for training and evaluation, streamlining the development of visual AI applications.
Coactive AI
Coactive AI is a machine learning platform that automates metadata generation for unstructured image and video data, achieving 95% accuracy without manual tagging. This technology enhances content discoverability and optimizes media management systems, enabling businesses to unlock the value of their digital archives.
Funding: $20M+
Rough estimate of the amount of funding raised
Teleskope
The startup offers a data security platform that classifies both structured and unstructured data, identifying personal and sensitive information to ensure compliance with regulations like GDPR and CCPA. By providing a real-time catalog of data assets and customizable detection rules, organizations can effectively manage their data security and privacy posture.
Cleanlab
Cleanlab automates data error detection and correction using AI-powered algorithms to enhance the quality of datasets for machine learning and analytics. This technology addresses issues such as label noise, outliers, and data drift, significantly reducing the time and cost associated with data management while improving model performance.
Funding: $20M+
Rough estimate of the amount of funding raised
aiMotive
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
Chooch
The startup offers a visual recognition platform that autonomously processes diverse visual data, including infrared and X-ray images, while accurately tagging objects of interest. This technology enhances operational efficiency and ensures high-quality results for clients across various industries.
Funding: $20M+
Rough estimate of the amount of funding raised
Cognaize
Cognaize automates the extraction, annotation, and validation of unstructured financial data using hybrid intelligence that combines AI with human expertise. This technology reduces manual processing tasks, enabling financial service companies to enhance compliance, improve risk management, and focus on strategic revenue-generating activities.
Funding: $10M+
Rough estimate of the amount of funding raised
Datagen
Datagen Technologies develops simulated data technology that generates scalable, bias-free datasets with automatic annotation capabilities. This technology addresses the challenges of data scarcity and bias in machine learning, enabling more accurate and reliable model training.
Funding: $50M+
Rough estimate of the amount of funding raised
ActiveNav
This company offers a data privacy and governance platform that automates content discovery, compliance, and tagging across various data repositories. Their software helps organizations maintain data privacy and gain better visibility for improved data access, storage, and security in the cloud.
Funding: $5M+
Rough estimate of the amount of funding raised
Raiinmaker
Raiinmaker is a decentralized platform that enables users to validate and tag AI-generated content, earning $Coiin rewards for their contributions. This approach addresses the need for high-quality, verified data to train AI models, enhancing the integrity and performance of AI systems.
Funding: $10M+
Rough estimate of the amount of funding raised
viso.ai
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.
Affinda
This company offers a document automation platform that uses AI to classify, validate, and extract information from unstructured documents. By automating certificate processing, the platform eliminates manual data entry, reducing errors and costs for businesses.
Funding: $10M+
Rough estimate of the amount of funding raised
ScaleHub
The startup offers a crowdsourcing platform that leverages artificial intelligence for cloud-based data extraction and document processing. It connects businesses with global public and private crowd communities, enabling scalable document automation for shared service centers and business process outsourcers.
Funding: $5M+
Rough estimate of the amount of funding raised
Lang.ai
Lang.ai is a language understanding platform that automates the tagging of support conversations and repetitive actions by leveraging Snowflake data to generate actionable insights. This technology addresses the inefficiencies in data processing and analysis, enabling businesses to enhance customer interactions and drive revenue growth.
Funding: $10M+
Rough estimate of the amount of funding raised
Klimato
Klimato provides food businesses with carbon footprint calculators and sustainability reporting tools that enable precise measurement and labeling of the environmental impact of recipes. This technology helps companies reduce their carbon emissions and enhance transparency, ultimately driving profitability through climate-friendly menu options.
Funding: $5M+
Rough estimate of the amount of funding raised
1touch.io
1touch.io provides a sensitive data intelligence platform that utilizes supervised AI to achieve 98.6% accuracy in structured data and 100% accuracy in unstructured data across various environments, including on-premises and multi-cloud systems. The platform enables organizations to identify and protect sensitive information in real-time, addressing the challenge of unknown data exposure and compliance with privacy regulations.
Funding: $20M+
Rough estimate of the amount of funding raised
Gori AI
The startup offers a supply chain management platform that utilizes artificial intelligence to optimize the printing and shipping of postal service labels at competitive rates globally. This technology enables enterprise clients to achieve lower shipping costs while ensuring efficient information flow across their operations.
Funding: $10M+
Rough estimate of the amount of funding raised
Argilla
Argilla offers an open-source, AI-driven platform that enables collaboration between AI engineers and domain experts to create high-quality datasets for natural language processing. The platform automates data management tasks, facilitating efficient fine-tuning and evaluation of language models while ensuring data integrity and transparency.
Funding: $5M+
Rough estimate of the amount of funding raised
Mindtech Global Limited
The startup develops a behavioral simulator that automates the collection and curation of training data for AI computer vision applications, significantly reducing the time required for model preparation. Its platform enables the deployment of production-ready AI systems across various sectors, including retail, healthcare, and smart cities, by enhancing the understanding of human interactions.
Funding: $10M+
Rough estimate of the amount of funding raised
Secuvy
Secuvy is a cloud-native data intelligence platform that utilizes self-learning AI to discover, classify, and correlate sensitive data across structured and unstructured environments, ensuring compliance with global privacy regulations. The platform automates data security and privacy workflows, significantly reducing operational costs and minimizing risks associated with data breaches and compliance violations.
Funding: $5M+
Rough estimate of the amount of funding raised
Dasera
Dasera is a Data Security and Privacy Management (DSPM) platform that automates the discovery, classification, and governance of structured and unstructured data across on-premises, cloud, and hybrid environments. By providing precise visibility and control over data access and usage, Dasera minimizes the risks associated with data breaches and regulatory non-compliance.
Funding: $20M+
Rough estimate of the amount of funding raised
Lemonilo
Lemonilo manufactures snack, noodle, and ready‑to‑eat products reformulated with low‑glycemic, high‑fiber, plant‑based ingredients, using low‑temperature extrusion and high‑pressure processing to retain nutrients and extend shelf life. The company distributes these affordable, healthier FMCG items through modern trade and e‑commerce channels, providing QR‑code labeling for transparent nutrition information.
Funding: $20M+
Rough estimate of the amount of funding raised
Prompt AI
Prompt AI provides a platform that utilizes computer vision technology to transform visual inputs into a structured, searchable database. This enables users to efficiently organize and retrieve information from images, addressing the challenge of managing unstructured visual data.
Funding: $5M+
Rough estimate of the amount of funding raised
Better Trucks
This startup provides package delivery services for online retail companies by utilizing a strategically-placed warehouse network for sorting and labeling packages. Their system enables businesses to optimize dispatch schedules and delivery routes, resulting in reduced operational costs and improved capacity management.
Funding: $20M+
Rough estimate of the amount of funding raised
Syncell
Syncell develops the Microscoop® platform, which utilizes automated photo-biotinylation for high-precision microscopy-guided proteomic discovery at cellular and subcellular levels. This technology enables the unbiased identification of protein constituents in tissue samples, addressing the limitations of traditional proximity labeling and mass spectrometry methods in understanding disease-associated protein interactions.
Funding: $20M+
Rough estimate of the amount of funding raised
Visual Layer
Visual Layer provides a visual data management platform that utilizes a CPU-only graph engine to index and analyze large datasets of images and videos, enabling efficient organization and insight extraction. The platform automates data curation, reducing the time spent on manual processes by up to 90% and improving model performance by over 50% through high-quality, curated visual datasets.
Malted AI
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: $5M+
Rough estimate of the amount of funding raised
Mindee
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%.