Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.
LlamaIndex is a developer of a flexible data framework that facilitates the integration of custom data sources with large language models (LLMs). The company's central interface toolkit enables businesses to connect unstructured, structured, or semi-structured data, allowing for the creation of robust end-user applications. By providing a simple solution for augmenting LLM applications with external data, LlamaIndex empowers organizations to leverage their unique data assets effectively.
Whether it is recommending videos to watch on TikTok, things to buy on Amazon, or recommending jobs to apply for on LinkedIn, recommendation engines are the drivers of the modern digital economy. However, the technology to power these recommendations has only been available to a select few big tech companies so far. We, at Fennel AI, are an ex-Facebook/Google team that’s on a mission to enable all the companies in the world to harness this technology and build delightful products for their customers.
Gable is a B2B data infrastructure SaaS that offers a platform for collaboration to write and execute data contracts. Gable supports communication between data providers and consumers using data contracts, assisting companies to increase data quality at scale.
Twelve Labs specializes in a multimodal artificial intelligence platform designed to enhance video understanding across various applications. The platform enables businesses and developers to analyze video content by integrating visual and auditory data, facilitating the creation of intelligent video applications. It offers APIs for functions such as searching, generating, and classifying video content, allowing users to deploy solutions on any cloud, customize models, and fine-tune with their own data. Twelve Labs serves diverse industries, including technology, media, entertainment, and security, empowering clients to harness complex video information for a range of downstream tasks.
SuperAnnotate is a leading platform focused on creating high-quality training datasets for applications in generative AI, computer vision, and natural language processing. The company provides advanced tools for annotating and automating machine learning pipelines, which include features for data curation, quality assurance, and orchestration. Additionally, SuperAnnotate offers an integrated workforce marketplace to facilitate collaboration on various annotation projects, including images, videos, text, and lidar data. By streamlining the process of compiling, organizing, and annotating data, SuperAnnotate enables machine learning teams to develop accurate datasets and successful machine learning models more efficiently.
Galileo.ai is an AI platform that specializes in developing, testing, monitoring, and securing AI applications. It offers a data intelligence platform that enhances machine learning by analyzing unlabeled data to automatically identify error patterns and data gaps within models. This capability allows clients to improve operational efficiencies, reduce costs, and address data biases across various sectors, including healthcare, financial services, and insurance. Through its innovative solutions, Galileo.ai aims to advance the effectiveness of AI technologies in diverse industries.
Braintrust offers an AI stack to simplify the process from evaluations to data management, ensuring seamless integration into any business. Braintrust simplifies the evaluation process by facilitating easy scoring, logging, and visualization of outputs. Users can investigate failures, monitor performance trends, and address queries like identifying regressions or assessing new models. The platform offers a Prompt Playground, allowing users to compare multiple prompts, benchmarks, and input/output pairs across runs, enabling both ephemeral tinkering and experiment evaluation on large datasets. In Continuous Integration, Braintrust seamlessly integrates into workflows, enabling progress tracking on the main branch and automatic comparison of new experiments with live versions before deployment. With a focus on Datasets, the platform enables the effortless capture of rated examples from staging and production, incorporating them into versioned "golden" datasets stored in the cloud. This ensures the evolution of datasets without jeopardizing evaluations dependent on them.
Voyage AI builds best-in-class embedding models and rerankers that boost the quality and efficiency of unstructured data search and retrieval in retrieval augmented generation (RAG). Built by world-class researchers, Voyage AI outperforms in all dimensions — accuracy, latency, and costs — while providing flexible deployment options and licensing. Voyage AI offers domain-specific models tailored to fields such as code, finance, and law, delivering superior results. Voyage AI also offers customized solutions and provides bespoke models to meet unique business needs.
Cube Dev, Inc. is a San Francisco-based company that specializes in designing and developing an open-source analytical API platform. The company's offerings include tools for building user interfaces, analytical API servers, and support for modern data stores. Their flagship product, Cube Cloud, serves as a semantic layer that helps organizations manage and optimize their analytics workflows by unifying business logic, centralizing governance and security, and enhancing query performance. Cube Cloud is equipped to handle significant data volumes and provides built-in security, allowing clients to efficiently fetch data rather than relying on pre-built visualizations. Established in 2016, Cube Dev aims to empower businesses to build both internal business intelligence tools and customer-facing analytics capabilities.
Fireworks AI provides a generative AI platform as a service, focusing on the rapid iteration of product development while minimizing operational costs. The platform enables users to run, fine-tune, and share large language models (LLMs), facilitating collaboration and enhancing the ability to solve product-related challenges. By leveraging its technology, developers and businesses can accelerate their growth and improve scalability through efficient and effective product innovation.
Unstructured is a developer of an open-source data transformation platform that simplifies the process of converting raw data from various sources, such as PDFs and Microsoft Office documents, into formats suitable for retrieval-augmented generation (RAG) applications. The platform supports over 25 file types and offers integration capabilities with third-party services like SharePoint and S3. By utilizing open-source libraries and application programming interfaces, Unstructured allows clients to create custom preprocessing pipelines tailored for machine learning tasks. This capability enhances the accessibility of human-generated information for large language models (LLMs) and facilitates seamless data extraction and integration into AI workflows, ultimately enabling organizations to maximize the value of their documents.
Mistral AI is a company focused on developing advanced artificial intelligence solutions, particularly in the realm of open-source models. It specializes in creating customizable and compute-efficient large language models that facilitate a range of applications, including natural language processing and complex problem-solving. Mistral AI aims to foster safe artificial general intelligence that benefits all users, allowing businesses and organizations to harness AI technology without the burden of building and maintaining their own models. Through a community-driven development approach, Mistral AI seeks to enhance efficiency, innovation, and decision-making for its clients.
Entrada recognizes the transformative impact of data on business agility and innovation. Founded to empower Databricks users to unlock their data's full potential, Entrada offers expert services in modernizing data platforms to drive business objectives and monetization of data-centric services. As a trusted partner, Entrada is dedicated to ensuring businesses can fully harness their data for great decision-making and excellent customer experiences.
Glean develops AI-based search engine software that facilitates access to enterprise data, enabling employees to efficiently find information and generate answers. Its primary product, Workplace Search, serves as an enterprise search platform that integrates with various internal data sources, allowing users to obtain relevant search results from multiple applications based on specific keywords. By employing advanced search techniques, retrieval augmented generation, and large language models, Glean's platform delivers personalized answers that are contextually grounded, enhancing productivity and information retrieval within organizations.
Einblick is a visual data computing platform that enables organizations to analyze historical data, forecast future trends, and make informed data-driven decisions. The platform merges traditional data science notebooks with modern collaborative tools, offering a graphical interface that facilitates interactive model building and deployment. This touch-enabled environment allows data scientists to efficiently create high-performance models, which can be seamlessly shared with decision-makers for enhanced collaboration. Einblick's diverse clientele includes notable entities such as a prominent luxury German car manufacturer, DARPA, and a major internet service provider, showcasing its broad applicability across various industries.
Anomalo is a developer of an artificial intelligence-based data validation tool that helps organizations continuously inspect and validate the data entering their warehouses. The company’s solution automatically detects and explains issues in enterprise data, facilitating a seamless connection to data warehouses. By employing automated machine learning technology, Anomalo enables companies to validate and document their data with minimal configuration, eliminating the need for users to write any code. This approach streamlines the data validation process, enhancing data integrity and reliability for enterprises.
Mistral AI is a company focused on developing advanced artificial intelligence solutions, particularly in the realm of open-source models. It specializes in creating customizable and compute-efficient large language models that facilitate a range of applications, including natural language processing and complex problem-solving. Mistral AI aims to foster safe artificial general intelligence that benefits all users, allowing businesses and organizations to harness AI technology without the burden of building and maintaining their own models. Through a community-driven development approach, Mistral AI seeks to enhance efficiency, innovation, and decision-making for its clients.
Arcion is a cloud-native data mobility platform that specializes in creating high-performance, real-time data pipelines. The platform enables autonomous migration and cloud-neutral database replication, facilitating seamless database updates to streaming data pipelines. Arcion provides businesses with a consistent, real-time view of customer data and assets across various applications and business units. This capability helps organizations reduce migration and licensing costs while enhancing the productivity of their engineering teams. By eliminating the need for code, Arcion simplifies the data migration process, making it accessible to a broader range of users.
Prophecy.io offers a data transformation copilot that assists users in developing, deploying, and monitoring data pipelines across cloud platforms. The platform integrates AI and a visual interface to enhance productivity for various data users, enabling them to manage complex data workflows with ease.
Cleanlab develops a data-centric artificial intelligence platform aimed at enhancing the quality of datasets for businesses. The platform manages the entire data quality and data-centric AI pipeline within a single framework, facilitating analytics and machine learning tasks. It assists companies in diagnosing and rectifying data issues, thereby improving the integrity of their datasets. Cleanlab’s services include support for data-centric machine learning operations and clean labels, along with enterprise software-as-a-service products tailored for data scientists and engineers. This comprehensive approach enables clients to enhance their data quality and produce more reliable machine learning models.
We are an innovative AI-driven digital pathology company, dedicated to shaping the future of diagnostics and research, with a mission to empower accurate diagnoses and elevate patient care globally.
Neon is a cloud-native, fully managed Postgres as a service. By separating storage from computing, Neon offers autoscaling, branching, and bottomless storage to give developers a simple, reliable, and powerful experience. Neon aims to provide a highly performant and cost-effective database infrastructure by leveraging cloud-native technologies and innovative architectural features.
Hightouch is a customer data platform that specializes in synchronizing data between various marketing and operational tools. It enables businesses to connect their existing data warehouses with applications such as customer relationship management systems, email marketing platforms, and advertising networks. By facilitating direct data access without duplication, Hightouch helps organizations maintain data integrity and security while leveraging their data for personalized marketing campaigns. The platform features a user-friendly interface that simplifies data integration and management, allowing businesses to create customer segments, explore data, and automate workflows. This functionality supports companies in optimizing their marketing strategies and improving customer engagement.
MosaicML specializes in developing software infrastructure and algorithms aimed at enhancing the efficiency of training large language models and neural networks. The company focuses on employing algorithmic techniques, such as sparsity and network pruning, to optimize the training process. By doing so, MosaicML enables users to train large-scale artificial intelligence models more efficiently and cost-effectively within their secure environments, utilizing their proprietary data. This approach not only improves training speed and model quality but also reduces overall costs associated with model development.
Lovelytics is a data and analytics consulting firm that specializes in transforming data into actionable insights for organizations. The company offers a range of services, including data advisory, enterprise data environment design and implementation, data science and machine learning, data visualization, and training. By collaborating closely with clients, Lovelytics aims to enhance their data ecosystems, fostering self-sufficiency and enabling organizations to achieve meaningful business outcomes. Through its focus on hands-on enablement, Lovelytics creates sustainable value for its clients, helping them better understand and utilize their data.
Catalyst Software Corporation, now part of Totango, specializes in developing a customer success platform designed to enhance the customer experience and reduce churn for businesses. Its Software-as-a-Service (SaaS) platform provides a range of tools, including analytics, insights, and workflow automation, which help organizations manage customer interactions effectively. Key features include product usage tracking, a task manager that consolidates various communications, and a review mode for logging customer interactions in Salesforce. The platform also offers comprehensive customer profiles, playbooks, campaigns, and account segmentation. By integrating with other SaaS services, Catalyst creates a unified dashboard that facilitates customer satisfaction measurement and business growth. Incorporated in 2016 and headquartered in New York, Catalyst aims to empower teams to identify and leverage opportunities for expansion and upselling, ultimately driving recurring revenue growth.
Immuta, Inc. develops a data security platform that helps organizations manage data security, privacy, and access control. The platform offers automated data governance features, including sensitive data discovery, classification, and the ability to author security and access control policies without coding. It enables self-service access to data while providing visibility into data usage. Immuta's solution is utilized by a diverse range of sectors, including finance, healthcare, government, and manufacturing, for purposes such as cloud migration, regulatory compliance, and secure collaboration. Founded in 2015 and headquartered in Boston, Massachusetts, Immuta has established itself as a trusted partner for Fortune 500 companies and government agencies worldwide.
Okera Inc. operates a data management platform that enhances secure data access and governance across hybrid and multi-cloud environments. Its flagship product, the Okera Active Data Access Platform, simplifies the provisioning, accessing, governing, and auditing of data, thereby ensuring data protection while facilitating faster access. The platform features tools for data lake security, privacy compliance, auditing, and sensitive data management, allowing organizations to establish appropriate data access controls that adapt to the evolving data privacy landscape. Okera's no-code visual policy engine enables users to automatically discover and audit data lakes, create access policies, and enforce fine-grained access, empowering data teams to leverage their data for innovation and growth. Founded in 2016 and headquartered in San Francisco, California, Okera also has an office in Seattle, Washington.
Perplexity is an innovative search engine platform that leverages artificial intelligence, specifically integrating large language models with traditional search functionalities. Utilizing advanced natural language processing and generative AI technologies, Perplexity aims to deliver conversational and contextually relevant responses to user inquiries. The platform is designed to merge the capabilities of conventional search engines with interactive AI assistance, enhancing the user experience. Additionally, Perplexity promotes an open-source environment that facilitates skill development and knowledge acquisition in software development, making its tools accessible to a broader audience. This approach positions Perplexity as a key player in the evolution of AI-driven search technologies.
Matillion Ltd. specializes in developing cloud data integration software solutions aimed at helping organizations optimize their data usage. The company offers a range of products, including Matillion ETL for Amazon Redshift and Snowflake, which facilitate the extraction, loading, and transformation of structured and semi-structured data in cloud environments. Additionally, Matillion Data Loader allows users to seamlessly integrate data from various sources into their cloud data warehouses. The Matillion Business Intelligence tool provides self-service reporting and analytics capabilities, while Matillion Exchange serves as a marketplace for users to share and download ETL jobs. Matillion's solutions cater to a diverse clientele, including Fortune 500 companies and mid-sized enterprises across the United Kingdom, the United States, and EMEA. Founded in 2010 and headquartered in Manchester, the company also has offices in New York, Denver, and Seattle.
DataJoy is a developer of a revenue intelligence platform that integrates various organizational data to enhance revenue growth. By employing machine learning algorithms, the platform unifies data from marketing, sales, product, and finance, providing valuable insights for future projections and performance tracking. This functionality allows companies to detect anomalies in key performance indicators, ultimately facilitating faster growth in annual recurring revenue. DataJoy aims to help businesses build a repeatable and profitable revenue model by leveraging data-driven insights.
Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.
Cortex Labs specializes in providing a cloud-native model serving infrastructure tailored for machine learning engineering teams. The company has developed a serverless computing platform that supports large-scale machine learning projects, enabling the creation of computer vision applications and APIs that can be seamlessly integrated into various software applications. Its platform facilitates both real-time and batch inference workloads, allowing for efficient and scalable deployment of machine learning models. Additionally, Cortex Labs focuses on streamlining and standardizing workflows, which aids engineering teams in deploying natural language processing and other machine learning applications effectively in production environments.
Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.
Dbt Labs is a developer of an open-source analytics engineering tool aimed at empowering data analysts to create and share organizational knowledge. Founded in 2016 and headquartered in Philadelphia, Pennsylvania, the company provides a platform that enables users with SQL expertise to develop data transformation workflows efficiently. Its transformation workflow tool supports collaborative deployment of analytics code, adhering to software engineering practices such as modularity, portability, and thorough documentation. By facilitating data modeling, Dbt Labs helps teams streamline their analytics processes and enhance their data-driven decision-making capabilities.
Arcion is a cloud-native data mobility platform that specializes in creating high-performance, real-time data pipelines. The platform enables autonomous migration and cloud-neutral database replication, facilitating seamless database updates to streaming data pipelines. Arcion provides businesses with a consistent, real-time view of customer data and assets across various applications and business units. This capability helps organizations reduce migration and licensing costs while enhancing the productivity of their engineering teams. By eliminating the need for code, Arcion simplifies the data migration process, making it accessible to a broader range of users.
Revelate operates a data fulfillment platform that facilitates data sharing and commercialization for its clients. The platform streamlines the process for data teams, allowing them to distribute data according to consumer needs, both internally and externally. By integrating seamlessly into existing data ecosystems, Revelate enables organizations to prepare, package, and distribute data efficiently from any source to any recipient.
Hunters is a cybersecurity company that specializes in developing an artificial intelligence-based platform for detecting and responding to cyber threats. Founded in 2018 and headquartered in Tel Aviv, Israel, the company offers its solution, Hunters.AI, which autonomously identifies cyberattacks that may evade traditional security measures across various IT environments, including cloud and network systems. Hunters.AI integrates diverse security telemetry and intelligence, enriching threat signals with detailed tactics, techniques, and procedures to enhance detection capabilities. By utilizing machine learning and cloud-based analytics, the platform correlates threat patterns and generates high-fidelity attack narratives, enabling cybersecurity teams to respond swiftly and effectively to potential breaches.
Labelbox, Inc. is a company that operates an artificial intelligence-based platform focused on data labeling and management services. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to efficiently create, manage, and maintain datasets for machine learning applications. Its platform features a visual workflow interface, annotation tools, and quality control functionalities, which help businesses reduce model development times and enhance the capabilities of their data science teams. Used by numerous Fortune 500 companies such as Walmart, Procter & Gamble, Genentech, and Adobe, Labelbox supports teams in leveraging advances in generative AI and large language models by providing the right balance of human supervision and automation. The company is backed by prominent investors, including SoftBank and Andreessen Horowitz.
8080 Labs is the maker of bamboolib, a popular UI-based data science tool that enables fast and easy data exploration and transformation with a matter of clicks, not code.
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