Top 50 Data Labeling Service - Late Stage

Labelbox operates a data training platform that utilizes AI-assisted labeling and a global network of experts to provide high-quality data curation and evaluation for machine learning applications. This platform addresses the challenge of efficiently managing large-scale data labeling and evaluation, enabling businesses to accelerate model development and improve AI performance.

Clarifai offers an end-to-end AI lifecycle platform that automates data labeling, model training, and deployment, enabling organizations to build and operationalize AI applications efficiently. By standardizing workflows and optimizing compute resources, the platform reduces development time and costs, allowing enterprises to scale AI solutions rapidly.

Snorkel Flow is an AI data development platform that enables data scientists to programmatically label and annotate large datasets, significantly reducing the time required for data preparation. By leveraging domain knowledge and automated techniques, the platform enhances the accuracy and efficiency of training data for specialized AI applications in fields like bioinformatics and natural language processing.

SuperAnnotate is an AI data platform that integrates dataset creation, curation, and model evaluation into a single workflow, enabling users to build and fine-tune high-quality models efficiently. The platform addresses the challenges of data annotation and model performance assessment by providing customizable tools and access to a global marketplace of trained annotation teams.

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.

Roboflow provides a platform for developers to manage image data and streamline the process of training and deploying computer vision models. By offering tools for dataset annotation, preprocessing, and one-click model training, it simplifies the complexities of computer vision projects, enabling faster development and deployment.

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.

Ripcord utilizes robotics and AI to digitize and classify both paper and digital documents, extracting and enriching data for easy access and automation. This process addresses the inefficiency of managing unstructured data, enabling organizations to streamline operations and enhance decision-making with accurate, readily available information.

Nansen is a blockchain analytics platform that utilizes wallet labeling and on-chain data querying to provide crypto investors with actionable insights and real-time alerts on market movements. By enabling users to identify significant wallet activities and trends across multiple blockchains, Nansen helps investors make informed decisions and mitigate risks in their portfolios.

DatologyAI develops automated data curation tools that utilize modality-agnostic algorithms to identify and eliminate redundant and noisy data points without requiring labels. This technology enables organizations to optimize their deep learning model training, significantly improving performance while reducing computational costs.

Parsable.ai provides a RESTful API that extracts structured data from PDFs, scanned images, DOCX, HTML, and other office files using AI‑enhanced OCR and transformer‑based NLP. Users define extraction templates through a low‑code UI or programmatically via the API, receiving results in JSON, XML, or CSV and integrating with cloud storage, webhooks, or message queues. The service includes enterprise‑grade security, audit logging, and a monitoring dashboard to automate data entry for finance, real‑estate, and HR processes.

The startup develops data management software that utilizes artificial intelligence and machine learning to automate the identification, categorization, and storage of investment documents. This technology reduces manual data entry and latency, enhancing the efficiency of managing alternative investment data for businesses.

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.

Twelve Labs provides APIs that utilize state-of-the-art video foundation models to generate rich video embeddings, enabling businesses to perform precise scene searches and generate contextual summaries from extensive video libraries. This technology addresses the inefficiencies of manual video tagging and the limitations of traditional transcript methods by allowing users to quickly locate specific moments and derive meaningful insights from video content.

BigID provides a cloud-native platform that utilizes machine learning for data discovery, classification, and security across hybrid environments. The solution enables organizations to manage sensitive data, ensure regulatory compliance, and mitigate risks associated with data privacy and security breaches.

Provides an AI-powered Data Security Posture Management (DSPM) platform that automatically discovers, classifies, and monitors sensitive data across cloud environments, including SaaS, IaaS, and on-premises systems. It mitigates risks by enforcing least privilege access, detecting policy violations, and preventing data breaches through continuous monitoring and contextual threat analysis.

Provides an enterprise-scale Intelligent Document Processing (IDP) platform, CMR+, that uses AI to automate the extraction and organization of data from structured and unstructured documents, including handwritten notes, images, and tables. By reducing manual processing time and improving data accuracy, it enables organizations in industries like banking, insurance, and supply chain to streamline operations and make data-driven decisions.

Flatfile provides a data onboarding platform that utilizes a JavaScript snippet to import, map, and normalize customer data from spreadsheets into software applications. This technology reduces the time and cost associated with manual data cleanup, ensuring high-quality, validated data for seamless integration into business systems.

Hyperscience is an intelligent document-processing platform that utilizes machine learning to automate the extraction and validation of data from various document types, achieving over 96% accuracy and 99% automation. The platform addresses the inefficiencies in manual document processing, enabling enterprises to significantly reduce turnaround times and operational costs.

Concentric AI offers a Data Security Governance Platform that utilizes autonomous data discovery, classification, and risk monitoring to protect sensitive information across various data sources. The platform addresses the challenges of identifying and safeguarding personally identifiable information, personal health information, payment card information, and intellectual property, ensuring compliance with relevant regulations.

Flatfile (Obvious) provides an AI‑driven data preparation platform that automates extraction, schema mapping, cleaning, transformation, and validation of enterprise files from any source. The system combines a smart extractor, semantic AI mapping, real‑time validation with AutoFix, and natural‑language bulk edits, while offering both no‑code configuration and extensible SDKs in a secure, collaborative workspace. It is aimed at data onboarding teams and system integrators building pipelines for ERP systems such as NetSuite and Workday.

Artifica.io utilizes artificial intelligence for product data analysis, focusing on accurate categorization and content optimization in e-commerce. This technology enhances listing accuracy, improves SEO visibility, and reduces operational efforts, ultimately increasing sales and customer satisfaction.

Anonos provides the Data Embassy platform, a policy‑as‑code engine that encodes GDPR, CCPA and other regulations into machine‑readable policies and enforces them automatically on data wherever it resides—on‑prem, public cloud, or partner sites. The platform applies protection at ingestion, transformation, and export, supports cross‑border residency routing, AI data provenance, and on‑demand synthetic or masked test data, while logging all actions to an immutable audit trail accessible via API. It enables regulated enterprises to share and analyze sensitive data faster without compromising compliance.

Scandit provides an AI‑driven Smart Data Capture Platform that adds barcode, ID and shelf‑intelligence scanning to any mobile or web application via cross‑platform SDKs or a no‑code Express app. The solution runs on standard smartphones, tablets and wearables, delivering real‑time image processing, authenticity validation and cloud‑based analytics to automate frontline workflows for retail, logistics, healthcare and travel enterprises. It includes enterprise‑grade security, high accuracy and integration hooks for ERP, WMS and CRM systems.

The startup offers a machine learning-based data platform that integrates and verifies data from thousands of sources, including business names, addresses, and operational hours. This platform provides companies with accurate records essential for analyzing human movement patterns and making informed decisions.

Provides a platform for building, deploying, and scaling computer vision models tailored to specific industry tasks, such as object detection and optical character recognition. By integrating with tools like Snowflake, it enables organizations to perform visual AI tasks directly on their data without moving it, reducing deployment time by 80% and supporting over 1 billion annual image inferences with 99.99% uptime.

Nightfall is a cloud data protection platform that utilizes an AI-native detection engine to accurately identify and remediate sensitive data across various applications and environments. It addresses the risk of data leaks and compliance violations by providing real-time visibility and automated remediation for personally identifiable information (PII), personal health information (PHI), and other critical data types.

Unstructured is an enterprise ETL tool that extracts and transforms complex unstructured data from various formats into clean, AI-friendly JSON files for integration with large language models. This platform addresses the challenge of utilizing the majority of enterprise data, which exists in difficult-to-use formats, by enabling data scientists to focus on modeling and analysis rather than data cleaning.

Dataminr provides an AI-driven platform that ingests and analyzes over one million public data streams—including news, social media, sensor feeds, and dark web sources—to deliver real‑time alerts on physical, cyber, and operational threats. Its sector‑specific products and API integrations enable security, risk, and emergency teams to prioritize and act on high‑impact events within existing workflows. The cloud‑native service includes encryption, role‑based access, and continuous model updates to meet enterprise compliance standards.

Periodic Labs provides autonomous laboratory platforms that conduct high‑throughput, multi‑modal experiments and capture large, structured datasets for accelerated material discovery. Their reinforcement‑learning AI scientists analyze the data to generate and rank candidate materials, experimental protocols, and performance forecasts, accessible through an API or web dashboard for industrial R&D and academic labs.

Unsupervised is an automated analytics platform that employs AI-powered data agents to analyze complex datasets and generate actionable insights, answers, and predictions. By continuously learning from connected data sources, it significantly reduces the time spent on manual data preparation, enabling organizations to uncover hidden value and improve decision-making efficiency.

Etched.ai provides a platform for optimizing machine learning models by connecting companies with a community of ML experts for fine-tuning and validation. This allows businesses to improve model performance and accuracy through crowdsourced expertise.

Cyera is an AI-driven data security platform that provides enterprises with real-time visibility into their data landscape, identifying sensitive data, access points, and associated risks. This enables organizations to mitigate data security risks, ensure compliance, and enhance their incident response capabilities.

Gretel is a multimodal synthetic data platform that utilizes generative AI and privacy-enhancing technologies to create artificial datasets that mirror the statistical properties of real data. This enables developers to train and validate AI models while maintaining data privacy and accelerating access to high-quality data.

Atlan is an active metadata platform that consolidates and enriches metadata from various data sources, enabling data teams to visualize column-level lineage and implement role-based access controls. This platform addresses the challenge of data discovery and governance by providing a centralized control plane for trusted, AI-ready data, enhancing compliance and user adoption across organizations.

Upstage develops AI tools that automate repetitive tasks and enhance productivity through advanced document processing and key information extraction. Their technology provides decision support across various industries by enabling efficient data retrieval and analysis, reducing manual workload and improving operational efficiency.

Explorium provides a data science platform that utilizes augmented data discovery and feature engineering to deliver high-quality, proprietary data signals for sales and marketing teams. This technology enables businesses to identify and prioritize the most relevant leads, significantly improving conversion rates and reducing data acquisition costs.

Anomalo provides automated AI-driven data quality monitoring for enterprise data warehouses, utilizing unsupervised machine learning to detect anomalies and validate data integrity without requiring code. This solution addresses the issue of unreliable data by enabling rapid identification and resolution of data quality problems, ensuring accurate and trustworthy insights for business operations.

BioAge provides a cloud‑based platform that generates multi‑omics biomarkers to quantify an individual’s biological age and predict health‑span trajectories. The service integrates genomics, transcriptomics, proteomics and metabolomics data with machine‑learning models, delivering calibrated age scores via a HIPAA‑compliant API and web dashboard for use by clinicians and pharmaceutical trial teams to personalize interventions and stratify study cohorts.

The startup provides a straightforward tool for collecting and organizing data from API endpoints, enabling users to efficiently manage their data flow. This solution addresses the challenge of data fragmentation by simplifying the integration and accessibility of diverse API data sources.

Tastewise provides a GenAI‑powered consumer intelligence platform that aggregates and normalizes over a trillion daily food‑and‑beverage data points from social media, point‑of‑sale, menu databases, and market research. The platform delivers trend forecasts, demand models, and AI‑generated product concepts and packaging mock‑ups within 48 hours, offering role‑based dashboards and an open API for integration with enterprise tools. This enables CPG and food‑service brands to accelerate product development, reduce primary research spend, and align launches with current consumer demand.

Ataccama is an AI-powered enterprise platform that integrates data quality, master data management, and metadata management to enhance data governance. The platform enables organizations to maintain accurate and consistent data across systems, improving decision-making and operational efficiency.

DotData is an end-to-end data science automation platform that utilizes AI and machine learning to extract actionable insights from complex, multi-source data sets in minutes. It enables organizations to identify key performance drivers and enhance predictive model accuracy without requiring specialized coding skills.

The startup offers privacy management software that integrates data subject request handling, data mapping automation, and universal consent management into a centralized DataCommand Center. This solution enables businesses to maintain compliance with data security regulations while ensuring visibility and control over their data across various cloud environments.

Instabase is a platform that automates the extraction and analysis of unstructured data from various document types, enabling businesses to generate actionable insights and streamline workflows. By connecting applications without moving data, it addresses inefficiencies in data processing and enhances operational productivity across industries such as finance, healthcare, and public services.

Cyberhaven provides a data lineage technology that traces the flow of sensitive information across systems, enabling organizations to understand data movement and prevent unauthorized exfiltration. By combining data loss prevention, insider risk management, and cloud data security, Cyberhaven effectively mitigates insider threats and protects critical data in real-time.

Aetion Generate utilizes generative AI to produce privacy-preserving synthetic datasets from real-world and clinical data, enabling organizations to share and analyze sensitive information without compromising privacy. This technology addresses the challenge of accessing and utilizing valuable data while mitigating re-identification risks and enhancing dataset completeness for improved insights.

Privacera provides a unified data access and governance platform that automates the creation and enforcement of security policies across diverse data environments, ensuring compliance with regulations like GDPR and HIPAA. The platform enables organizations to discover, protect, and monitor sensitive data while streamlining access for authorized users, significantly reducing onboarding time and compliance risks.

The startup provides data enrichment and advanced analytics to help brands and agencies optimize their digital marketing strategies and control customer acquisition costs. By leveraging data-driven insights, the company enables businesses to enhance sales performance and improve funnel efficiency.

The startup offers a continuous service experience management platform that utilizes data extraction techniques to analyze both structured and unstructured data. This approach prevents technical support escalations and enhances customer satisfaction, operational efficiency, and product quality for businesses.