AI Data Platform Companies for Data Labeling and Vector DBs

Airbyte is an open-source data integration platform that helps data teams replicate data from over 600 source applications, databases, and APIs to various destinations, including Snowflake, BigQuery, and Amazon Redshift. Founded in January 2020 and headquartered in San Francisco, California, Airbyte has grown to approximately 139 employees and achieved a valuation of $1.5 billion in 2021. The platform specializes in ELT/ETL data pipeline automation, offering both batch replication and change data capture. Users can choose between a free, self-hosted open-source version and a fully managed cloud service with transparent pricing. Airbyte features a user-friendly interface and integrates with modern data tools like dbt and Airflow. Its product suite includes Airbyte Data Replication, Airbyte Cloud, and the recently launched Airbyte Agents, which support AI infrastructure for querying external data. With a strong community of over 25,000 users and 900 contributors, Airbyte is positioned as the open-source ELT standard, catering to B2B and SaaS companies seeking flexible data integration solutions.

Alteryx, Inc. is a computer software company based in Irvine, California, founded in 1997. The company specializes in an AI and data analytics platform that supports enterprise analytics and self-service data science. Alteryx aims to empower analytics for all by automating data engineering, analytics, reporting, machine learning, and data science processes, making these capabilities accessible without requiring specialized engineering skills. With over 8,000 customers globally and more than $1 billion in annual recurring revenue, Alteryx is a significant player in the data technology market. The company offers a comprehensive suite of services, including data engineering, analytics, machine learning, and various solution suites like Designer Cloud and Intelligence Suite. Its flagship products include the Alteryx Analytics Automation Platform, Alteryx Designer, and Alteryx Server, which facilitate the automation of data workflows and collaboration. Alteryx serves a wide range of industries, including retail, financial services, healthcare, and manufacturing, supporting approximately 150,000 users through its community.

Appen Limited is a global leader in creating high-quality, human-annotated datasets for artificial intelligence (AI) and machine learning (ML) systems. Founded in 1996 in Sydney, Australia, Appen has grown into a publicly traded multinational company, operating on the Australian Securities Exchange under the ticker APX. The company combines a vast network of over 1 million skilled contributors with advanced AI-assisted data annotation platforms to deliver precise and diverse training data. Appen offers a wide range of services, including data collection, annotation, model evaluation, and AI automation solutions. Their expertise spans various data types, such as text, speech, images, and video, supporting industries like technology, automotive, finance, healthcare, and government. With a global presence and offices in multiple countries, Appen is dedicated to providing tailored data solutions that meet the specific needs of its clients, ensuring the successful development and deployment of innovative AI products.

Arize AI is an enterprise software company based in Berkeley, California, founded in 2020. The company specializes in AI observability and LLM evaluation, providing tools that help teams monitor, debug, and enhance artificial intelligence systems in production. Arize AI operates on a SaaS model and offers two main products: Arize AX, an enterprise platform for comprehensive observability of generative AI and machine learning models, and Arize Phoenix, an open-source tool for vendor-agnostic tracing and evaluation. The company's mission is to make AI work for people by promoting transparency and reliability in AI systems. Arize AI serves AI engineering teams, developers, and enterprises, particularly in the United States and Europe, focusing on complex applications like chatbots and computer vision models. With a commitment to compliance and ethical AI practices, Arize AI aims to ensure that AI systems are effective and continuously improving through real-time analytics.

Arthur AI is a centralized enterprise platform designed for monitoring, evaluating, and governing AI systems at scale. Founded in 2018, the company aims to make AI transparent, equitable, and observable for organizations managing complex systems. With over $42 million raised in Series B funding, Arthur AI focuses on ensuring AI reliability, security, and performance throughout the entire lifecycle from development to deployment. The platform offers a unified AI Delivery Engine that enables AI teams to test, monitor, and improve their systems. Key services include proactive monitoring for data drift and bias, an explainability engine for model predictions, and governance workflows to maintain oversight. Arthur AI supports a wide range of AI technologies, including Large Language Models, computer vision, and natural language processing. Its solutions cater to AI-driven organizations of all sizes, from startups to Fortune 100 companies, and are utilized across various industries, including healthcare, social media, and finance.

Atlan is a San Francisco-based software company founded in 2019 by Prukalpa Sankar and Varun Banka. The company provides an active metadata platform that serves as the context layer for AI, helping enterprise data teams work effectively with complex data ecosystems. Atlan's mission is to democratize data access by creating a unified layer that connects people, data, and systems, making data usable, trustworthy, and AI-ready. The platform integrates with over 80 tools, offering features such as active metadata management, data lineage and governance, and an AI context engine. This allows teams to visualize data flow, track ownership, and improve data reliability. Atlan has grown to employ between 201 and 500 people and has a valuation of approximately $1.2 billion following significant funding rounds. The company serves over 300 enterprise customers globally, including major Fortune 500 companies and financial institutions, and has offices in New York and Singapore.

Bigeye is a data observability platform founded in 2019 by former Uber data leaders Kyle Kirwan and Egor Gryaznov. Headquartered in South San Francisco, California, the company operates as a remote-first organization and is backed by investors such as Sequoia Capital, Coatue, and Alteryx. Bigeye focuses on improving the reliability, quality, and trust of data used for analytics, reporting, and machine learning. The platform offers a unified solution that includes automated data quality monitoring, end-to-end data lineage, incident management, and AI trust and governance features. These capabilities help data teams proactively identify issues, analyze data lineage, manage incidents, and ensure high-quality data for AI applications. Bigeye targets large enterprises with complex data needs, serving a diverse clientele that includes organizations like USAA, Zoom, Hertz, Cisco, and Instacart.

Chroma is an AI-native, open-source data infrastructure company that specializes in vector databases for large language model (LLM) applications. The company aims to make knowledge and skills easily accessible for AI, providing a foundational layer for retrieval-augmented generation (RAG). Chroma's core product is an open-source vector database that allows developers to store, search, and retrieve embeddings with metadata, bridging unstructured data and AI models. Chroma offers a range of services, including Chroma Cloud, a fully managed serverless version of its database, and enterprise solutions that provide advanced features and dedicated support. The company also fosters a global community of developers through open-source support, offering documentation and collaborative platforms. Chroma's technology is designed to be fast and scalable, with capabilities for embedding storage, advanced retrieval, and integration of state and memory into AI applications. The company is committed to transparency and security, ensuring a robust environment for AI development.

Cleanlab is a San Francisco-based enterprise AI reliability platform founded in 2021. The company focuses on making AI safe to trust by automatically detecting and fixing data errors, ensuring that AI outputs are accurate, safe, and compliant. Cleanlab serves over 100 Fortune-500 companies across various industries, including healthcare, financial services, e-commerce, and technology. The company offers a data curation and reliability platform with two main components. Cleanlab Studio is a no-code platform that uses AI to identify and resolve issues in image, text, and tabular datasets, improving model accuracy significantly. The Trustworthy Language Model (TLM) tool detects hallucinations in large language models and provides trustworthiness scores for outputs, ensuring production-ready AI agents. Cleanlab's mission is to enhance the reliability of AI models and agents, making them more effective for enterprise applications.

Cloudera, Inc. is a prominent American technology company focused on enterprise data management, analytics, and artificial intelligence. Founded in 2008 by engineers from major tech firms, Cloudera has evolved from a Silicon Valley startup to a global enterprise headquartered in Santa Clara, California. The company serves clients in approximately 100 countries, helping organizations transform complex data into actionable insights. Cloudera offers a comprehensive suite of subscription-based and professional services that support the entire data lifecycle. Its products include a hybrid platform for data, analytics, and AI, featuring solutions like Cloudera DataFlow for real-time data processing, Cloudera Data Science Workbench for collaborative data science projects, and Cloudera Data Warehouse for scalable analytics. The company also provides cloud services that enable customers to run data analytics and AI applications efficiently. With a commitment to innovation and security, Cloudera empowers businesses across various industries to harness the power of their data.

Comet Holding AG, founded in 1948, is a Swiss technology company based in Flamatt, Switzerland. It specializes in X-ray and radio frequency (RF) technologies, serving various sectors including semiconductor manufacturing, medical imaging, industrial processes, and space exploration. With a global workforce of over 1,700 employees across ten countries, Comet focuses on software engineering, data analysis, and physics at its headquarters. The company has a rich history of innovation, starting with the production of X-ray tubes for medical use. Over the decades, Comet expanded its offerings to include vacuum capacitors and advanced X-ray systems. Its product lineup features X-ray modules, generators, and detectors for non-destructive testing and medical imaging, as well as RF components for semiconductor processes. Comet collaborates with partners like Snowflake to enhance data solutions for scientists and supports semiconductor manufacturers and CT scanner producers worldwide.

Couchbase, Inc. is a public software company based in San Jose, California, with additional offices in cities like Austin, Bengaluru, and London. Founded in 2009, Couchbase specializes in NoSQL cloud database solutions and offers a unified, AI-ready developer data platform for mission-critical applications across various environments, including cloud, on-premises, mobile, and edge. The company’s primary products include Couchbase Server, a distributed NoSQL database optimized for interactive applications, and Couchbase Capella, a fully-managed Database-as-a-Service (DBaaS). They also provide Couchbase Mobile & Edge, which features Couchbase Lite for mobile apps, and an Operational Data Platform for AI that supports production AI agents. Couchbase serves a diverse range of industries, including financial services, healthcare, and telecommunications, and counts notable clients like AOL, Cisco, and LinkedIn among its users.

Dataloop AI is an Israeli company founded in 2017, specializing in data infrastructure for artificial intelligence. Headquartered in Herzliya, Tel-Aviv District, the company focuses on providing a comprehensive AI stack for managing the entire AI development lifecycle, particularly for unstructured and multimodal data. Dataloop AI was acquired by Dell Technologies in 2025 for $120 million, marking a significant milestone in its growth. The company offers a SaaS platform designed for AI/ML project lifecycle management, featuring tools for data management, annotation, pipeline automation, and AI orchestration. Its platform supports no-code and low-code workflows, allowing teams to build and deploy AI models efficiently. Dataloop AI serves enterprise customers across various sectors, including autonomous driving, agriculture technology, and government agencies, focusing on applications that require advanced visual recognition and data management capabilities.

Deepchecks is an enterprise-grade software company based in Tel Aviv, Israel, founded in 2019 by Philip Tannor and Shir Chorev. The company focuses on machine learning validation and monitoring, providing tools to ensure the reliability and safety of AI systems from research through production. Deepchecks operates in the B2B High Tech sector, specifically within AI Infrastructure and MLOps, and has raised $14 million in seed funding as of June 2023. The company offers a comprehensive SaaS platform and an open-source testing framework for continuous validation of AI systems. Key offerings include tools for evaluating Large Language Models (LLMs), automated performance monitoring, and a commercial product called Deepchecks Hub for debugging and data integrity checks. Deepchecks serves global enterprises in regulated industries such as healthcare, finance, and pharmaceuticals, helping organizations maintain control over their machine learning systems and deliver high-quality applications efficiently.

Defined.ai is a global technology company based in Seattle, Washington, specializing in ethical AI training data. Founded in 2015 by Dr. Daniela Braga, it operates the world's largest AI data marketplace, allowing enterprises to buy, sell, or commission high-quality datasets for artificial intelligence development. The company focuses on providing secure, bias-free, and compliant data to help organizations build and deploy responsible AI models. Defined.ai offers a range of services, including an AI data marketplace for off-the-shelf and custom datasets, project-specific data creation through crowdsourcing, and a platform called Neevo for data labeling and evaluation. The company serves a diverse clientele, including Fortune 500 companies and government organizations, across various sectors such as healthcare, finance, and telecommunications. With a commitment to ethical data sourcing, Defined.ai ensures that all data is copyright-clear and compliant with legal standards, supporting the development of fair and inclusive AI systems.

Denodo is a software company founded in 1999 and headquartered in Palo Alto, California. It specializes in data virtualization, providing the Denodo Platform, a leading logical data management solution. This platform enables real-time access to AI-ready and business-ready data without the need for data replication or movement. Denodo's mission is to create active context from distributed enterprise data, ensuring that AI systems and business users have unified access to all data sources. The company serves a diverse range of B2B clients across over 30 industries, including financial services, healthcare, government, and telecommunications. Denodo offers various support services, including training and consulting, to enhance the use of its platform. With a focus on data governance and security, Denodo helps organizations achieve business agility and significant ROI by providing a unified virtual data layer that meets strategic information needs.

Domo, Inc. is a cloud-native software company based in American Fork, Utah. Founded in 2010, it specializes in artificial intelligence, business intelligence, and data visualization. Domo offers a subscription-based Software-as-a-Service (SaaS) platform that provides real-time access to business data, enabling decision-makers to operate with minimal IT involvement. The core service is the Business Cloud platform, which allows organizations to connect, prepare, and analyze data from various systems. This platform features user-friendly dashboards and applications that facilitate collaboration and efficient decision-making across all levels of an organization. Domo's AI and Data Products platform includes the Domo.AI solution, designed to simplify data access and enhance user adoption. Domo serves a diverse range of industries, including media, telecommunications, retail, technology, and financial services. The company operates globally, with a significant presence in the United States, which accounts for a large portion of its revenue. As a public company listed on NASDAQ under the ticker DOMO, Domo reported approximately $317.5 million in revenue for FY2024 and employs around 888 people.

Dremio is an innovative data platform known as the Agentic Lakehouse, designed to enhance AI and analytical workloads across enterprise data. It is the only Iceberg-native platform managed by AI agents, enabling self-service SQL analytics on cloud data lakes without the need for data movement to proprietary warehouses. Dremio combines an Intelligent Query Engine, AI Semantic Layer, and Open Catalog powered by Apache Polaris, offering features like federated data access and unstructured data processing. Founded in 2015 and headquartered in Santa Clara, California, Dremio has raised $407 million in venture funding and reached a valuation of $2 billion in January 2022. The company has developed technologies such as Apache Arrow and co-created Apache Polaris, building its lakehouse on Apache Iceberg. Dremio serves a diverse range of clients, including major enterprises like Shell, TD Bank, and Microsoft, and operates in the B2B SaaS space, focusing on Business Intelligence, Big Data, Machine Learning, and Data Management.

DuckDB is an analytical database management system. It is simple, feature-rich, fast, extensible, and comes with the permissive MIT open-source license. "DuckDB", "DuckLake" and the DuckDB logo are registered trademarks of the DuckDB Foundation.

Encord is an AI-native data infrastructure company that provides a comprehensive platform for managing unstructured data. Founded in 2020 by Eric Landau and Ulrik Stig Hansen, the company is headquartered in San Francisco, California, with additional offices in New York and London. Encord has raised $110 million in funding and is valued at $550 million. The company specializes in transforming messy, multimodal data into production-ready systems for applications in humanoid robots, autonomous vehicles, and smart infrastructure. Encord's offerings include a multimodal AI data platform, tools for data curation and management, an active learning platform for automating annotation, and collaborative annotation tools. Their platform is compliant with various security standards, making it suitable for sensitive sectors. Encord serves over 300 AI teams across industries such as healthcare, aerospace, and technology, with notable clients including Toyota, Skydio, and Stanford Medicine.

Evidently AI is an open-source platform that provides tools for evaluating, testing, and monitoring machine learning models and large language models in production. Founded in 2020 by Elena Samuylova and Emeli Dral, the company is headquartered in San Francisco and has a distributed team. It aims to establish an open-source standard for machine learning observability, helping teams identify issues such as model degradation and data drift. The core offering of Evidently AI is a modular open-source Python library that supports the entire lifecycle of ML model evaluation, testing, and monitoring. Key features include reports for data and model quality analysis, automated test suites for pipeline validation, and a monitoring dashboard that tracks metrics over time. The platform also includes capabilities for LLM observability, such as AI risk assessment and compliance dashboards. Evidently AI serves a variety of B2B clients across sectors like e-commerce, FinTech, and retail, with notable use cases including demand forecasting and marketing personalization.

Feast is an open-source feature store designed for machine learning, providing structured data to AI and large language model applications at scale. It helps teams manage production ML systems by defining, validating, and serving features throughout the AI/ML workflow. Launched in 2018 through a collaboration between Gojek and Google Cloud, Feast addresses the challenges of feature engineering duplication across multiple ML teams. The platform consists of two main components: an Offline Store for historical feature extraction and an Online Store for low-latency feature serving in production. Feast acts as a central hub for feature data and metadata, supporting various functions such as transformation, storage, serving, monitoring, and feature registry. It is particularly beneficial for ML platform and MLOps teams, including data engineers, software engineers, machine learning engineers, and data scientists, by enhancing collaboration and streamlining the productionization of real-time models.

Featureform is an MLOps company based in San Francisco, California, that specializes in an open-source virtual feature store. Founded in 2019, the company aims to streamline the creation, management, and deployment of machine learning features. Its platform addresses challenges in ML operations, such as fragmented data workflows and training-serving inconsistencies, making features a key component of the machine learning process. The flagship product is a centralized repository that allows data scientists to define, manage, and serve features with built-in versioning and lineage tracking. Featureform also offers a Python framework for orchestrating data infrastructure and integrates seamlessly with various cloud data platforms and processing engines. In 2024, Featureform was acquired by Redis, enhancing its capabilities by combining its feature store with Redis's real-time data platform. This partnership aims to improve data delivery for intelligent systems across various industries, including technology, finance, healthcare, and retail.

Fiddler AI is an enterprise software company based in Palo Alto, California, founded in 2018. The company offers an AI Observability and Security platform that serves as the industry's first Control Plane for AI Agents. Fiddler's mission is to provide trust, visibility, and insights for enterprises by ensuring AI decisions are ethical and explainable. The platform includes features for real-time monitoring of machine learning and large language model systems, providing explanations for model predictions, and ensuring safety and compliance in AI outputs. Fiddler AI targets large enterprises and regulated industries, including financial services, government, and healthcare, helping organizations manage risk and maintain compliance. The company has raised approximately $99 million in funding, with a focus on building reliable and transparent AI agents.