Databricks

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.

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.

Koantek is an IT consulting firm specializing in data-driven solutions. It assists businesses in maximizing their data and AI investments by providing advisory and implementation services in data strategy, migration, engineering, advanced analytics, and cloud infrastructure automation. By simplifying data complexities, Koantek helps clients accelerate business growth.

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 specializes in creating state-of-the-art embedding models and rerankers, designed to enhance the quality, efficiency, and accuracy of unstructured data search and retrieval, particularly in retrieval-augmented generation (RAG) systems. Their solutions, developed by leading researchers, outperform competitors in terms of precision, speed, and cost-effectiveness, and offer flexible deployment options. Voyage AI caters to specific industries like finance, law, and healthcare, providing domain-specific models and custom solutions to meet unique business needs.

XponentL Data is a technology company that specializes in data and artificial intelligence (AI) platforms. Its core business is to streamline the process of data-driven decision-making by automating data collection, preparation, and analysis. The company's platform bridges the gap between data producers and consumers, delivering data products that offer insights, fuel AI, and capture value. This enables businesses to extract knowledge from their data and make more informed decisions, ultimately increasing productivity and fostering creativity.

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.

Lilac AI provides data science tools for improving the quality of data for generative AI applications and language models (LLMs).

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.

Adaptive ML is a technology company that specializes in developing a Large Language Model (LLM) platform. This platform enables businesses to train and deploy language models, with a unique feature of incorporating user feedback to enhance model performance. By leveraging company data, user interactions, and feedback, Adaptive ML's platform generates AI models that continuously learn and improve, helping businesses achieve superior performance without requiring expertise in complex techniques like reinforcement learning.

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.

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.

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, AI, and analytics consulting company that specializes in transforming data into actionable insights for leading organizations. The firm offers a range of services, including data advisory, enterprise data environment design and implementation, data science and machine learning, data visualization, and training. By partnering with clients, Lovelytics focuses on enhancing self-sufficiency and hands-on enablement, ultimately driving business outcomes and creating sustainable value. Through its expertise, the company aims to help clients optimize and modernize their data ecosystems, ensuring they can better understand and leverage their data for strategic decision-making.

Perplexity is an artificial intelligence-based search engine platform that combines large language models with traditional search engines. It leverages natural language processing and generative AI technologies to deliver conversational responses to user queries, aiming to enhance the search experience beyond standard results. The platform is designed to facilitate the development of safe and beneficial artificial general intelligence, offering an open-source environment accessible to the public. This allows clients to acquire skills and knowledge in software development, positioning Perplexity as a bridge between conventional search capabilities and advanced AI-driven assistance.

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.

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.