Samsung NEXT

Foundation EGI is a technology company that develops artificial intelligence and large language model (LLM) tools for enterprises in design and manufacturing. Its platform aims to streamline and accelerate all stages of the product development cycle, from design and research to production and documentation. By leveraging LLM, advanced AI, and computer graphics, the company helps engineers enhance product quality, boost productivity, and reduce costs throughout the design and manufacturing process.

Ceramic is an AI company that specializes in streamlining the process of training artificial intelligence models for businesses. Their platform optimizes data processing and supports long-context training across various cluster sizes, making AI model training faster and more cost-effective. This enables enterprises to efficiently build and fine-tune their own generative AI models.

Ceramic is an AI company that specializes in streamlining the process of training artificial intelligence models for businesses. Their platform optimizes data processing and supports long-context training across various cluster sizes, making AI model training faster and more cost-effective. This enables enterprises to efficiently build and fine-tune their own generative AI models.

Ammo is a developer of personalized AI agents, a modular embedding space that connects AI agents to generate value.

Music AI is a software company specializing in artificial intelligence solutions for music and audio technology. It offers musicians and producers a suite of AI tools including audio separation, pitch/chord detection, metronome, tempo changer, and mastering.

Primus provides AI-powered intelligence in the Web3. It connects Web2 data to Web3, providing AI models with verified inputs while protecting user privacy. It enables DeFi, decentralized healthcare, and Web3 social applications to harness the predictive potential of AI while maintaining data integrity.

Fiddler Labs, Inc. is a company that specializes in developing an artificial intelligence platform designed to help businesses analyze, manage, and deploy their machine learning models effectively. Founded in 2018 and headquartered in Palo Alto, California, Fiddler offers an Explainable AI Engine that promotes transparency and understanding in AI solutions. This platform allows users across data science, product, and business teams to comprehend, validate, and manage their AI implementations, ensuring that these systems deliver reliable and trustworthy experiences for end-users. By providing statistical metrics, performance monitoring, and centralized controls, Fiddler aims to make AI more accessible and trustworthy for enterprises, ultimately unlocking the complexities of AI and enhancing user confidence in its applications.

Centaur Labs provides a platform for expert data annotation services, specializing in medical, scientific, and other complex datasets. It leverages a global network of tens of thousands of students and professionals to deliver accurate and scalable solutions.

Superb AI is an end-to-end training data platform that automates data preparation at scale, enabling teams to label, manage, curate, and deliver training data for computer vision projects. Founded in 2018 by data scientists, academics, and ML engineers, the company focuses on simplifying the creation and iteration of datasets, making data labeling and curation faster, more accurate, and repeatable. The platform provides data annotation, data curation, model training, and deployment tools to accelerate the development and deployment of computer vision applications, helping organizations reduce time and resource needs for building high-quality datasets and improving model readiness across projects of varying sizes.

AIDIN ROBOTICS is a developer of AI-driven sensors and robotic systems.

Ceramic is an AI company that specializes in streamlining the process of training artificial intelligence models for businesses. Their platform optimizes data processing and supports long-context training across various cluster sizes, making AI model training faster and more cost-effective. This enables enterprises to efficiently build and fine-tune their own generative AI models.

Sahara AI is a technology company that develops a decentralized blockchain platform for open and collaborative artificial intelligence development. Its platform enables businesses to deploy autonomous AI securely and privately, while allowing cross-agent communication, knowledge transfer, and capitalization. This fosters a collaborative environment where businesses can own, monetize, and scale their proprietary knowledge.

Vectara offers a generative AI platform for embedding AI features into applications. Its serverless Retrieval Augmented Generation API enables businesses to integrate conversational AI and question-answering securely, with minimal hallucination, explainable results, and real-time updatability.

Combine All Models for Faster, Cheaper, and Better Responses Than Any Single Model

Activeloop is a technology company that specializes in providing a distributed cloud computing platform designed for building and scaling data pipelines for machine learning applications. Its flagship product, Deep Lake, is a database optimized for artificial intelligence, particularly for deep learning and large language model (LLM) applications. Deep Lake offers a unique storage format that accommodates various data types, including embeddings, audio, text, videos, images, and annotations. The platform features capabilities for querying, vector search, data streaming during model training, and comprehensive data versioning and lineage management. Deep Lake is designed to handle data of any size in a serverless environment, facilitating seamless integration with popular tools such as LangChain and Weights & Biases. The platform is utilized by notable organizations, including Bayer Radiology and Matterport. Founded by a team with backgrounds from prestigious institutions such as Princeton and Stanford, Activeloop has garnered support from Y Combinator, positioning itself as a key player in the machine learning and AI data management landscape.

Sahara AI is a technology company that develops a decentralized blockchain platform for open and collaborative artificial intelligence development. Its platform enables businesses to deploy autonomous AI securely and privately, while allowing cross-agent communication, knowledge transfer, and capitalization. This fosters a collaborative environment where businesses can own, monetize, and scale their proprietary knowledge.

Bria is a company specializing in visual generative AI. It offers a platform for AI teams with full access to source code and model weights trained on licensed data. Their Visual Creation API Suite includes over 30 specialized APIs for tasks like image generation and editing. Bria also provides tailored services for brand-specific AI models, product imagery consistency, and scalable marketing campaigns.

SqueezeBits develops a platform that facilitates the design, training, and deployment of compressed neural networks. It employs advanced techniques such as quantization, pruning, knowledge distillation, and AutoML to compress AI models, enabling clients to build energy-efficient, lightweight, and fast deep learning models across diverse hardware platforms.

Leonardo AI provides a suite of generative tools designed for creating high-quality visual assets across various domains. Their platform supports creators, teams, and developers in producing images, graphics, and videos efficiently and collaboratively.

Liquid AI is a technology company that develops artificial intelligence solutions for various applications. It focuses on creating tools for data analysis and decision-making processes. Liquid AI serves industries such as finance, healthcare, and logistics.

Lasso Security is a pioneering cybersecurity company specializing in protecting large language models (LLMs) and generative AI technologies. It develops comprehensive solutions to safeguard businesses utilizing these innovative AI tools, addressing the evolving threats and challenges in this rapidly advancing field.

Twelve Labs offers a platform that empowers businesses and developers to analyze and interpret video content through multiple modalities like visual and auditory data. This enables the creation of intelligent video applications across industries such as technology, media, entertainment, and security.

AI21 Labs is an Israeli artificial intelligence company that develops generative AI and large language models along with tools to understand and generate natural language. Founded in 2017 and based in Tel Aviv-Yafo, it provides AI-based writing and reading assistance that understands context and meaning, including a writing companion that can rephrase text to convey the intended message and generate summaries. The company's tools help users read more efficiently, analyze and visualize complex knowledge structures, and apply deep learning and NLP to transform writing and comprehension for businesses and individuals.

Irreverent Labs designs and develops games where all characters are AI-powered non-player characters. The company creates artificially intelligent games that combine machine learning, engaging gameplay, and blockchain technology, aiming to deliver experiences with long-term depth and entertainment. By integrating AI-driven NPCs, Irreverent Labs seeks to redefine interaction in games and enable evolving content across years of play.

Inworld AI is an AI framework powering massive consumer applications. Inworld is funded by VCs including Lightspeed, Stanford University, Kleiner Perkins, Founders Fund, Section 32, M12, Intel Capital, CRV, Bitkraft, and Meta, as well as a team of all-star angels including corporate executives, top VC funds' partners, scouts, and industry veterans.

Kind Humanoid develops intelligent humanoid robots powered by AI and large language models. These robots assist humans in various tasks, helping businesses optimize operations and automate processes.

Integral AI develops robotic technology that generates universal agents and multimodal interfaces. It offers energy-efficient interactive world models to amplify human creativity, enabling clients to create digital and real-world agents, perform complex planning, and dynamically interact with devices.

MosaicML is a company focused on creating an efficient infrastructure for training large language models and improving the overall efficiency of neural networks. It develops software and artificial intelligence training algorithms that enhance the training process by utilizing algorithmic techniques such as sparsity and network pruning. These innovations allow users to effectively and securely train large-scale AI models on their proprietary data, while also optimizing for speed, quality, and cost. MosaicML aims to streamline the machine learning model recomposition process, making it easier for organizations to harness the power of AI in their operations.

DynamoFL empowers enterprises to deploy Gen AI solutions in a safe, private, and compliant manner. Our tools offer a scalable and efficient solution for defense against adversarial AI threats, ensuring the integrity and security of ML models throughout their lifecycle. Our suite of proactive AI model defense solutions can be deployed to both identify and remediate security and robustness risks in Generative AI systems. We enable organizations to deploy state-of-the-art LLMs on substantially cheaper hardware, even including CPU resources.

Quantum Machines specializes in developing control systems for quantum computers. They create innovative software, hardware, and electronics, merging classical engineering with quantum computing technology. The company's expertise spans algorithmics, digital signal processing, RF microwave engineering, machine learning, and quantum physics.

DataGen Technologies, founded in 2018 and based in Tel Aviv, Israel, specializes in developing simulated data technology that is scalable, bias-free, and automatically annotated. The company focuses on creating hyper-photorealistic imagery and utilizes advanced algorithms to generate high-variance datasets. This technology allows clients to efficiently simulate large-scale data tailored to their specific needs and requirements, helping to enhance data-driven decision-making and analysis across various industries.

Aporia develops an AI control and observability platform for machine learning production, providing customizable safeguards to manage risks such as hallucinations, biases, inappropriate outputs, prompt injection attacks, data leakage, policy violations, and off-topic or toxic content. The platform enables real-time monitoring and guardrails to ensure AI systems operate reliably and ethically. Its Aporia Labs team of AI and cybersecurity specialists continuously researches methods to detect and mitigate hallucinations and prompt attacks, supporting trust and security in deployed AI applications.

Classiq Technologies develops a comprehensive quantum software platform that provides an integrated environment for designing, optimizing, analyzing, and executing quantum algorithms. The platform includes an IDE, compiler and operating system to deliver a single entry point into quantum computing, bridging algorithm design to execution. It features a low-code development environment that automates quantum programming, enabling a broader range of talent, including those with backgrounds in AI, ML, and linear algebra, to work with quantum hardware without deep specialization. The company collaborates with hardware providers, high-performance computing systems and quantum simulators to enable execution across various architectures. Classiq focuses on accelerating the creation of complex quantum algorithms and broadening access to quantum computing for developers and researchers.

SceneCraft is a developer of a model development platform designed to enhance the training of machine learning models. The platform employs intelligent data augmentation techniques to enrich existing training datasets with augmented, synthetic, and unlabeled data. This approach enables clients to build more accurate models more efficiently, reducing the need for extensive labeling and accelerating the overall model training process. By leveraging advanced methods such as self-supervised learning, SceneCraft's technology improves performance on challenging data classes and helps mitigate biases, allowing for optimal model performance with minimal parameter tuning.

Wonder Dynamics is a media-tech startup based in Los Angeles, California, co-founded by Tye Sheridan and Nikola Todorovic. The company specializes in developing AI technology to enhance storytelling, particularly focusing on creating an AI production tool that enables independent filmmakers to achieve high-quality visual effects typically associated with big-budget productions at a significantly lower cost. Their technology also allows viewers to engage in AI-powered conversations with characters in TV shows or movies, thereby enhancing the viewing experience.

OpenWeb Ltd., established in 2012 with offices in New York and Tel Aviv, operates an online social network platform that empowers users to build and manage their own communities. The company enables media companies to regain control of audience conversations by hosting them on their own platforms, reducing dependence on external networks. OpenWeb's platform uses AI and machine learning to foster healthy dialogue, decrease toxicity, and create engaged communities. It serves over 700 top-tier publishers and hosts around 100 million active users monthly. The company offers tools for publishers to curate conversations, drive loyalty, and gain insights from first-party data. For advertisers, OpenWeb provides conversation-based advertising options within its marketplace, targeting addressable audiences in brand-safe environments.

Deci AI Ltd. is a Givatayim, Israel-based company founded in 2019 that specializes in deep learning technology. It has developed an end-to-end deep learning acceleration platform designed to enhance the performance of AI models across various environments, including cloud, edge, and mobile. The platform allows AI developers to build, optimize, and deploy models more efficiently, achieving inference performance improvements of 3x to 15x while maintaining accuracy. Central to Deci's offering is its Automated Neural Architecture Construction (AutoNAC) technology, which optimizes model architectures for specific hardware, resulting in significant reductions in compute costs and development cycles. Deci's innovations have been recognized in the industry, including achieving notable performance benchmarks. The company's mission is to empower AI developers to create advanced AI solutions for complex challenges.

CAST AI Group, Inc. is a technology company that specializes in multi-cloud management, particularly through its advanced Kubernetes automation platform. Founded in 2019 and based in Sunny Isles Beach, Florida, CAST AI enables users to optimize their cloud infrastructure by dynamically adjusting compute capacity based on demand across multiple cloud providers. The platform employs machine learning algorithms to analyze and optimize clusters in real time, leading to significant cost reductions—often over 50%—for customers utilizing major cloud services such as AWS, Azure, and GCP. In addition to cost savings, CAST AI enhances performance, security, and overall productivity for DevOps and engineering teams by ensuring efficient resource allocation and application deployment across different cloud environments.

Founded in 2019, Metrika is a software company based in Cambridge, Massachusetts. It offers a real-time dynamic risk management platform tailored for digital assets and blockchain protocols, providing advanced compliance and risk frameworks to enable financial institutions to confidently navigate the digital finance landscape.

Founded in 2019, Marpipe is a New York-based martech company that develops an AI-driven platform for automated creative testing. Its solution generates and tests various creative variables to help brands and agencies make data-driven decisions.

Quantum Machines specializes in developing control systems for quantum computers. They create innovative software, hardware, and electronics, merging classical engineering with quantum computing technology. The company's expertise spans algorithmics, digital signal processing, RF microwave engineering, machine learning, and quantum physics.

Multiverse Labs is a decentralized AI ecosystem that supports early-stage technology companies. It develops an artificial intelligence-powered multi-metaverse platform that enables resource sharing and the integration of decentralized applications. The platform functions as a resource marketplace for blockchain technology, software, and information technology services, allowing companies, organizations, and governments to build and launch customized metaverse ecosystems. Through its offerings, Multiverse Labs helps clients engage with customers, create new jobs, and advance digital living within the evolving landscape of decentralized digital experiences.

Einblick is a visual data computing platform that enhances organizations' ability to analyze data, forecast outcomes, and make informed decisions. The platform uniquely integrates the computational capabilities of traditional data science notebooks with modern canvas-based collaboration tools, creating a user-friendly graphical environment for building and deploying models. This touch-enabled interface allows data scientists to efficiently construct high-performance models and present them interactively to decision-makers. Einblick's clientele includes prominent organizations such as a major German luxury car brand, DARPA, and a significant internet service provider, highlighting its diverse application across various industries.

Anodot is a SaaS-based autonomous analytics company offering an automated business analytics and anomaly detection platform. The platform continuously collects and analyzes data to identify outliers and abnormal patterns, automatically isolating issues and correlating signals across multiple parameters in real time to eliminate insight latency and support rapid business decisions. It serves data-driven sectors such as eCommerce, fintech, adtech, telecommunications, IoT, and gaming, and is distributed through a global network of resellers. Founded in 2014, Anodot is headquartered in Ra'anana, Israel, with offices in London and Sydney.

DiscreetAI is a developer of a decentralized machine learning platform focused on privacy-preserving technologies for mobile, web, and server applications. The company creates open-source developer tools that facilitate machine learning while ensuring data privacy, security, and compliance. By enabling training on decentralized datasets, DiscreetAI allows organizations to leverage larger data pools without compromising sensitive information. This approach is particularly beneficial for Fortune 500 companies that face real-world challenges involving private data. The platform's architecture ensures that data remains on its host, thus enhancing the feasibility of training models without centralization, and supports the development of secure online marketplaces for big data transactions.

Brodmann17 Ltd, founded in 2016 and headquartered in Hod Hasharon, Israel, specializes in developing advanced computer-vision technology aimed at enhancing safety in mobility. The company focuses on creating an architecture code for applications such as pedestrian and face detection, leveraging deep learning neural networks to efficiently extract information from video feeds. This technology significantly reduces computing power needs, making artificial intelligence more accessible across various sectors, including mass-market passenger vehicles and micro-mobility solutions. Brodmann17’s patented perception software is scalable and hardware-agnostic, allowing seamless integration across different platforms, from low-power edge devices to cloud environments. The company's innovative approach has attracted considerable attention from high-profile players in the technology and automotive sectors, receiving backing from prominent venture capital firms and leading corporations.

Juvo Mobile Inc. is focused on creating financial identities for creditworthy individuals who are often excluded from traditional financial systems. Founded in 2014 and headquartered in San Francisco, with additional offices in São Paulo, Singapore, and Miami, Juvo collaborates with mobile network operators to leverage its proprietary Identity Scoring technology. This technology utilizes data science, machine learning, and game mechanics to develop identity-based relationships with prepaid users, thereby facilitating access to mobile financial services that were previously unattainable. By transforming subscriber consumption with real-time credit, Juvo aims to deepen connections between mobile operators and their subscribers, ultimately enhancing their ability to provide essential financial services. The company is privately held and supported by prominent figures in technology, mobile, and finance.

BentoML is an AI platform that enables the development, deployment, and orchestration of scalable machine learning and AI systems. It provides an inference platform that supports on-premises and cloud deployments, allowing teams to ship models to production as prediction services and to iterate quickly while reducing cost and operational risk. The platform supports serving a wide range of models, including large language models and embeddings, and accommodates complex pipelines. It is used across industries such as finance, healthcare, and manufacturing to improve efficiency and cost effectiveness.

BlazingSQL, Inc. develops an open-source, GPU-accelerated SQL engine designed to improve database management and query execution. The company offers BlazingSQL Notebooks, a cloud-based platform that provides users with a managed Jupyter environment equipped with a CUDA GPU and pre-installed, GPU-accelerated Python packages. This platform enables efficient querying of various file formats, including CSV, JSON, Apache Parquet, and Apache ORC, by leveraging Apache Arrow to run queries directly in GPU memory. Established in 2015 and headquartered in San Francisco, California, with an additional office in Lima, Peru, BlazingSQL aims to deliver fast and user-friendly database solutions that enhance performance and simplify setup for users.

Vidrovr develops multimodal computer vision and machine learning systems to index, tag, and understand video content. Its platform enables users to search videos with precision, retrieve specific clips, and integrate them directly into content management systems.

Covariant is a developer of artificial intelligence for robotics, focused on creating the Covariant Brain, a universal AI system that empowers robots to perceive, reason, and interact with their environment. The company specializes in AI-based robotics and software, facilitating the deployment of robotics across various operations. Covariant's technology employs advanced techniques such as deep imitation learning, deep reinforcement learning, and meta-learning, allowing users to program robots intuitively. By using a virtual reality headset, clients can guide robots through tasks, simplifying the process of integrating robotics into their workflows.

Vidrovr develops multimodal computer vision and machine learning systems to index, tag, and understand video content. Its platform enables users to search videos with precision, retrieve specific clips, and integrate them directly into content management systems.

Juvo Mobile Inc. is focused on creating financial identities for creditworthy individuals who are often excluded from traditional financial systems. Founded in 2014 and headquartered in San Francisco, with additional offices in São Paulo, Singapore, and Miami, Juvo collaborates with mobile network operators to leverage its proprietary Identity Scoring technology. This technology utilizes data science, machine learning, and game mechanics to develop identity-based relationships with prepaid users, thereby facilitating access to mobile financial services that were previously unattainable. By transforming subscriber consumption with real-time credit, Juvo aims to deepen connections between mobile operators and their subscribers, ultimately enhancing their ability to provide essential financial services. The company is privately held and supported by prominent figures in technology, mobile, and finance.

Vicarious is an artificial intelligence company that utilizes the principles of neuro and cognitive science to create general intelligence for robots. Founded in 2010 by Dr. Dileep George and D. Scott Phoenix, Vicarious develops technology that mimics the functions of the human brain, aiming to achieve human-level intelligence in areas such as vision, language, and motor control. The company's algorithmic architecture focuses on visual perception challenges, including recognition, segmentation, and scene parsing. This innovative approach enables robot manufacturers to design robots that exhibit advanced intelligence and enhanced task efficiency, positioning Vicarious as a leader in the advancement of intelligent robotic systems.

Brodmann17 Ltd, founded in 2016 and headquartered in Hod Hasharon, Israel, specializes in developing advanced computer-vision technology aimed at enhancing safety in mobility. The company focuses on creating an architecture code for applications such as pedestrian and face detection, leveraging deep learning neural networks to efficiently extract information from video feeds. This technology significantly reduces computing power needs, making artificial intelligence more accessible across various sectors, including mass-market passenger vehicles and micro-mobility solutions. Brodmann17’s patented perception software is scalable and hardware-agnostic, allowing seamless integration across different platforms, from low-power edge devices to cloud environments. The company's innovative approach has attracted considerable attention from high-profile players in the technology and automotive sectors, receiving backing from prominent venture capital firms and leading corporations.

Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.

Gyroscope is a provider of developer-friendly tools designed to enhance user engagement and revenue for companies, particularly in the gaming sector. It leverages advanced machine learning and systems programming techniques to create intuitive, efficient tools that empower developers to build applications that learn from user behavior. Gyroscope aims to simplify the development of sophisticated artificial intelligence applications, allowing developers to create personalized and adaptive gaming experiences without requiring specialized expertise in data science or growth strategies. By focusing on usability and performance, Gyroscope facilitates the creation of applications that actively respond to user preferences, ultimately increasing user retention and satisfaction.

FloydHub is a Platform-as-a-Service designed for training and deploying deep learning models in the cloud. The platform simplifies the process of initiating machine learning projects, allowing users to start within 30 seconds. FloydHub provides the necessary infrastructure, enabling teams to focus on their core challenges rather than technical setup. It offers customizable CPU and GPU environments tailored for deep learning, along with features that automatically save projects and databases through cloud interactions. The platform includes a web dashboard that facilitates tracking, monitoring, editing, and sharing project progress, which enhances collaboration among team members and boosts productivity through effective performance reviews and project planning.

Vicarious is an artificial intelligence company that utilizes the principles of neuro and cognitive science to create general intelligence for robots. Founded in 2010 by Dr. Dileep George and D. Scott Phoenix, Vicarious develops technology that mimics the functions of the human brain, aiming to achieve human-level intelligence in areas such as vision, language, and motor control. The company's algorithmic architecture focuses on visual perception challenges, including recognition, segmentation, and scene parsing. This innovative approach enables robot manufacturers to design robots that exhibit advanced intelligence and enhanced task efficiency, positioning Vicarious as a leader in the advancement of intelligent robotic systems.

Cognitive Networks, founded in 2008 and based in San Francisco, California, collaborates with television set manufacturers to enhance viewer engagement and interactivity in TV programming. The company's Automatic Content Recognition (ACR) platform allows Smart TVs to recognize the content being displayed, facilitating transactions, information requests, and personalized viewing experiences. By connecting content providers and advertisers with audiences in a more meaningful way, Cognitive Networks aims to transform traditional television into a more interactive medium.

Kngine, Inc. is an intelligent assistant and answer engine that provides users with direct answers to their inquiries. Founded in 2008 and headquartered in San Mateo, California, with an engineering office in Cairo, Egypt, Kngine is designed for developers and businesses to create smart applications. Its platform incorporates advanced natural language understanding and utilizes deep learning, big data, and knowledge-based approaches to deliver accurate responses. Kngine’s technology extracts factual information from web content to enhance its knowledge graph, allowing it to comprehend and process user questions effectively. The platform is capable of automating customer service, powering voice interfaces, and enhancing enterprise search functionality, ensuring that users receive meaningful results. Kngine also offers a beta application for iOS and Android devices, further extending its accessibility. As of 2017, Kngine operates as a subsidiary of Samsung Research America, Inc.

Classiq Technologies develops a comprehensive quantum software platform that provides an integrated environment for designing, optimizing, analyzing, and executing quantum algorithms. The platform includes an IDE, compiler and operating system to deliver a single entry point into quantum computing, bridging algorithm design to execution. It features a low-code development environment that automates quantum programming, enabling a broader range of talent, including those with backgrounds in AI, ML, and linear algebra, to work with quantum hardware without deep specialization. The company collaborates with hardware providers, high-performance computing systems and quantum simulators to enable execution across various architectures. Classiq focuses on accelerating the creation of complex quantum algorithms and broadening access to quantum computing for developers and researchers.

Traceloop specializes in monitoring the performance of large language models (LLMs) in production environments. It offers automated benchmarks, drift detection, real-time alerts, and gradual rollout capabilities to help AI developers and engineering teams ensure reliable deployment of changes to prompts and model configurations.