Top 50 Data Annotation Platform - Late Stage

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.

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.

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.

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.

Scale offers a full‑stack platform that supplies high‑quality annotated data, RLHF pipelines, and automated red‑team evaluations to turn advanced AI models into reliable, production‑ready systems. Its Generative AI Data Engine and agentic solutions framework enable large enterprises and government agencies to build, deploy, and continuously monitor AI applications with built‑in safety, compliance, and performance controls.

SmarterX provides specialized AI models that ingest, enrich, normalize, and structure product data from sources such as PDFs, labels, and data sheets, delivering accurate ingredient, hazard, and regulatory information for retail catalogs. The platform combines large‑language‑model intelligence with expert‑curated rules and a human‑in‑the‑loop verification layer to ensure compliance while reducing classification costs by up to 50×. Integrated data can be exported to ERP, PLM, or compliance systems, helping retailers manage safe handling, shipping, storage, and disposal at scale.

The startup offers an enterprise platform that leverages artificial intelligence to analyze market trends and internal operations, enabling businesses to make data-driven decisions. By providing actionable insights, the platform enhances operational efficiency and supports scalable growth in dynamic environments.

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.

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.

Encord provides a multimodal data layer infrastructure for training and deploying physical AI systems across various modalities like video, LiDAR, and sensor fusion. The platform supports the entire AI lifecycle, from data collection and automated labeling to dataset curation and post-training model alignment. This unified solution enables AI teams to manage and scale complex data workflows for robotics, autonomous vehicles, and generative AI applications.

Ocrolus is an AI-driven document automation platform that utilizes machine learning and human validation to analyze financial documents, enhancing accuracy in data extraction and risk management. The platform addresses the challenges of manual document review and fraud detection in the digital lending ecosystem, enabling faster and more reliable financial decision-making.

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.

The startup offers a technical recruiting and data analytics platform that standardizes and enhances the searchability of personnel profiles across various sectors, including sales, marketing, and talent acquisition. By providing data-driven insights, the platform enables organizations to efficiently identify and resolve identity discrepancies in recruiting and market research processes.

The startup develops business release management software that integrates with any git-based version control system to facilitate metadata comparison, deployment annotation, and issue analysis. This technology enables clients to efficiently track, test, and deploy changes while minimizing the risk of unwanted alterations.

Hebbia is an AI platform that synthesizes large volumes of data into actionable insights, enhancing decision-making processes across various sectors such as finance and legal. By automating complex workflows and document analysis, Hebbia enables firms to significantly increase efficiency, saving hundreds of hours in manual work and improving accuracy in critical tasks.

Mendel is an AI platform that combines large language models with a clinical hypergraph to enable physician-level cognitive reasoning for analyzing structured and unstructured clinical data. It enhances clinical data workflows by providing accurate cohort retrieval and chart review, ensuring outputs are explainable and grounded in a coherent patient journey.

Carbon Arc provides a consumption‑based intelligence platform that maps fragmented data sources into a unified ontology, delivering clean, ratable, decision‑ready inputs for analytics and investment teams. By structuring raw data into a coherent intelligence layer, it eliminates extensive data wrangling, legal, and compliance work, allowing organizations to query and analyze petabyte‑scale data across transactions, web traffic, and brand metrics on a usage‑based pricing model.

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.

TetraScience provides a cloud-based platform that replatforms and engineers scientific data, enabling biopharmaceutical companies to automate lab data management and analytics. This approach addresses the inefficiencies of siloed data, resulting in a 10x increase in scientist productivity and a 60% reduction in time to market for drug discovery.

Shapetx provides a cloud‑based platform that automates the ingestion, validation, and enrichment of high‑volume transaction data from multiple sources. It normalizes disparate formats, applies rule‑based and AI‑driven checks to flag anomalies, and enriches records with external reference data, delivering clean data via APIs or bulk exports. The solution includes audit trails, role‑based access controls, and compliance reporting to reduce manual effort and operational costs for financial services and enterprise customers.

DataSnipper offers an AI-powered intelligent automation platform that integrates with Excel to extract, cross-reference, and verify financial data, significantly reducing the time spent on repetitive audit tasks. By eliminating up to 90% of menial tasks, the platform enhances productivity and collaboration for audit and finance teams, allowing them to focus on high-value activities.

Provides an AI-powered dental platform that detects oral diseases with high precision, educates patients using annotated imaging, and automates insurance claim submissions and reviews. By reducing administrative workload by 90% and accelerating claim decisions to five times faster, it improves efficiency for dentists, insurers, and dental service organizations while enhancing patient care and outcomes.

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.

ElementaryML provides an end‑to‑end AI stack for factory visual inspection that eliminates the need for manual image labeling and vision expertise. Its VisionStream™ solution captures live production images, auto‑trains deep‑learning models in seconds, and runs real‑time defect detection at up to 1,000 parts per minute on rugged edge hardware, with a no‑code cloud interface for configuration, analytics, and PLC integration.

Dovetail is an AI-driven insights platform that transforms customer interactions, such as calls and feedback, into actionable insights through automated analysis. This technology centralizes customer knowledge, enabling organizations to make data-informed decisions and enhance their product strategies without extensive manual effort.

Introhive offers an AI-powered Client Intelligence Platform that automates the capture and enrichment of client data, providing actionable insights into relationship networks. This technology addresses the challenges of fragmented client information and manual data entry, enabling B2B enterprises to enhance lead generation, improve win rates, and increase productivity.

This company provides a unified context engineering platform that transforms enterprise data into specialized AI agents. The platform enables users to build and deploy expert AI agents capable of reasoning over technical documentation and institutional knowledge for complex tasks. It accelerates AI development, reduces time-to-production, and delivers accurate, verifiable outputs for production environments.

Yurts is a Generative AI integration platform that enables organizations to access and interact with their data through context-aware search and chat functionalities, ensuring high-quality, attributed outputs. The platform addresses the challenges of data silos and operational inefficiencies by providing secure, real-time insights and automated workflows tailored for enterprise and government use.

Propelo provides an AI‑driven analytics platform that automatically ingests, processes, and visualizes unstructured data from multiple sources. Using NLP and machine‑learning models, it extracts entities, trends, and forecasts, delivering interactive dashboards, real‑time alerts, and API access to help enterprises quickly turn raw data into actionable insights.

Parsable.ai provides an API‑driven platform that automatically extracts structured data from unstructured documents such as PDFs, DOCX, and HTML. Users upload files via a web UI or API, define extraction rules with customizable templates, and receive the parsed information in JSON, XML, CSV or other formats, enabling enterprises to automate data entry, reduce errors, and integrate document data into downstream systems.

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 an autonomous big data analytics platform that utilizes declarative configurations and automation to manage cloud infrastructure and optimize data pipelines. This technology reduces maintenance efforts throughout the data lifecycle, enabling business managers to initiate projects and make informed decisions with ease.

Fathom offers an AI-powered medical coding automation platform that can process millions of charts daily with over 90% accuracy, significantly reducing coding costs by up to 50%. The platform addresses staffing challenges and accelerates coding turnaround times, ensuring reliable and secure operations for healthcare providers.

Flatfile offers an AI‑powered data migration platform that automates extraction, mapping, transformation, and validation of incoming files, turning unstructured uploads into structured workbooks ready for production systems. Its Smart Extractor and AI mapping engine provide high‑accuracy auto‑mapping and plain‑English transformation prompts, while collaborative workspaces and enterprise‑grade security enable non‑technical teams to onboard data quickly and safely.

Enable Medicine provides a cloud‑based platform that consolidates multimodal biological data—such as single‑cell, spatial, omics, imaging, and clinical metadata—into a unified atlas. Using proprietary AI/ML methods, including graph neural networks and spatial deep learning, the platform generates interpretable insights for target identification, biomarker discovery, patient stratification, and trial design, helping biopharma and academic researchers accelerate therapeutic development.

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.

The startup offers a machine-learning community platform that facilitates collaboration on models, datasets, and applications, enabling users to create and discover machine-learning projects. By providing paid computing resources and enterprise systems, the platform enhances the efficiency of open-source development, allowing users to contribute to and advance the field of machine learning.

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.

Hyperplane AI is a data intelligence platform that enables financial institutions to train and deploy self-supervised deep-learning models on first-party data, enhancing decision-making across various business domains such as risk and marketing. By providing hyper-personalized customer experiences, Hyperplane addresses the challenge of understanding individual customer needs and preferences in the financial sector.

ChapsVision provides AI‑driven platforms that enable enterprises and government agencies to search, analyze, and act on large, heterogeneous data sets in real time using semantic search, NLP, and domain‑specific analytics. Their suite includes customer‑engagement tools that integrate CRM, marketing automation, and merchandising, as well as sovereign AI applications for risk management, fraud detection, and secure multilingual translation.

Atropos Health develops a cloud-based Evidence Platform that converts electronic medical record data into high-quality Real-World Evidence, enabling healthcare organizations to make data-driven clinical decisions. This platform addresses the issue of insufficient evidence backing medical decisions, significantly reducing the time and resources required to generate actionable insights for patient care and research.

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.

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.

Rossum is an AI-based cloud document processing platform that automates the ingestion, validation, and communication of transactional documents across various formats. By utilizing proprietary machine learning algorithms, it enhances data accuracy and compliance while significantly reducing manual workload and processing time.

H1 provides a health data platform that utilizes AI-enabled analytics to connect life sciences companies with healthcare professionals, enhancing clinical trial design and patient access. The platform addresses the challenge of identifying suitable investigators and optimizing diversity in clinical trials by delivering precise data insights and performance metrics.

Adarga Vantage is an AI platform that utilizes natural language processing and network science to analyze large volumes of unstructured data, enabling users to extract actionable intelligence quickly. It addresses the challenge of slow and inefficient data analysis by providing timely insights from both in-house and open-source information, significantly reducing research time from weeks to hours.

TwelveLabs provides a video intelligence platform and API that uses multimodal AI to search, analyze, and embed insights from video content. Their technology enables users to pinpoint exact moments, generate text summaries, and create vector embeddings across large video libraries. This unlocks deeper understanding and automation capabilities for workflows in media, advertising, and security sectors.

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.