Seldon

Seldon is an MLOps platform that helps enterprises deploy, monitor, and manage machine learning models at scale. It provides a range of features to help organizations accelerate model deployment, optimize infrastructure resource allocation, and manage models and risk. Seldon is trusted by the world's leading MLOps teams and has been used to install and manage over 10 million ML models. With Seldon, organizations can reduce deployment time from months to minutes, increase efficiency, and reduce infrastructure and cloud costs.

Baseten is a machine learning infrastructure that provides a unified platform for data scientists and engineers to build, train, and deploy machine learning models. It offers a range of features to simplify the ML lifecycle, including data preparation, model training, and deployment. Baseten also provides a marketplace of pre-built models and components that can be used to accelerate the development of ML applications.

Comet ML is an extensible, fully customizable machine learning platform that aims to move ML forward by supporting productivity, reproducibility, and collaboration. It integrates with existing infrastructure and tools to manage, visualize, and optimize models from training runs to production monitoring. Users can track and compare training runs, create a model registry, and monitor models in production all in one platform. Comet's platform can be run on any infrastructure, enabling users to reshape their ML workflow and bring their existing software and data stack.

Striveworks is an AI application that offers a Machine Learning Operations Platform designed to help organizations build, deploy, maintain, monitor, and audit machine learning models efficiently. It provides features such as rapid model deployment, data and model auditability, low-code interface, flexible deployment options, and operationalizing AI data science with real returns. Striveworks aims to accelerate the ML lifecycle, save time and money in model creation, and enable non-experts to leverage AI for data-driven decisions.

PredictModel is an AI tool that specializes in creating custom Machine Learning models tailored to meet unique requirements. The platform offers a comprehensive three-step process, including generating synthetic data, training ML models, and deploying them to AWS. PredictModel helps businesses streamline processes, improve customer segmentation, enhance client interaction, and boost overall business performance. The tool maximizes accuracy through customized synthetic data generation and saves time and money by providing expert ML engineers. With a focus on automated lead prioritization, fraud detection, cost optimization, and planning, PredictModel aims to stay ahead of the curve in the ML industry.

Censius is an AI Observability Platform for Enterprise ML Teams. It provides end-to-end visibility of structured and unstructured production models, enabling proactive model management and continuous delivery of reliable ML. Key features include model monitoring, explainability, and analytics.

DataRobot is an AI tool that provides product documentation for users. It offers a comprehensive platform for leveraging AI and machine learning to automate and optimize various processes. With DataRobot, users can build, deploy, and manage machine learning models efficiently, enabling data-driven decision-making across different industries.

madebymachines is an AI tool designed to assist users in various stages of the machine learning workflow, from data preparation to model development. The tool offers services such as data collection, data labeling, model training, hyperparameter tuning, and transfer learning. With a user-friendly interface and efficient algorithms, madebymachines aims to streamline the process of building machine learning models for both beginners and experienced users.

Arthur is an industry-leading MLOps platform that simplifies deployment, monitoring, and management of traditional and generative AI models. It ensures scalability, security, compliance, and efficient enterprise use. Arthur's turnkey solutions enable companies to integrate the latest generative AI technologies into their operations, making informed, data-driven decisions. The platform offers open-source evaluation products, model-agnostic monitoring, deployment with leading data science tools, and model risk management capabilities. It emphasizes collaboration, security, and compliance with industry standards.

Datacog is an AI application that offers a comprehensive solution for efficient data warehouse management, application integration, and machine learning. It enables organizations to leverage the complete capabilities of their data assets through intuitive data organization and model training features. With zero configuration, instant deployment, scalability, and real-time monitoring, Datacog simplifies model training and streamlines decision-making. Join the ranks of industry leaders who have harnessed the power of organized data and automation with Datacog.

UbiOps is an AI infrastructure platform that helps teams quickly run their AI & ML workloads as reliable and secure microservices. It offers powerful AI model serving and orchestration with unmatched simplicity, speed, and scale. UbiOps allows users to deploy models and functions in minutes, manage AI workloads from a single control plane, integrate easily with tools like PyTorch and TensorFlow, and ensure security and compliance by design. The platform supports hybrid and multi-cloud workload orchestration, rapid adaptive scaling, and modular applications with unique workflow management system.

FriendliAI is a generative AI infrastructure company that offers efficient, fast, and reliable generative AI inference solutions for production. Their cutting-edge technologies enable groundbreaking performance improvements, cost savings, and lower latency. FriendliAI provides a platform for building and serving compound AI systems, deploying custom models effortlessly, and monitoring and debugging model performance. The application guarantees consistent results regardless of the model used and offers seamless data integration for real-time knowledge enhancement. With a focus on security, scalability, and performance optimization, FriendliAI empowers businesses to scale with ease.

Articul8 is a GenAI platform designed to bring order to chaos by enabling users to build sophisticated enterprise applications using their expertise. It offers features such as autonomous decision-making, automated data intelligence, and a library of specialized models. The platform aims to provide faster time to ROI, improved accuracy, and precision, along with rich semantic understanding of data. Articul8 is engineered for regulated industries and offers observability, traceability, and auditability at every step.

Cerebium is a serverless AI infrastructure platform that allows teams to build, test, and deploy AI applications quickly and efficiently. With a focus on speed, performance, and cost optimization, Cerebium offers a range of features and tools to simplify the development and deployment of AI projects. The platform ensures high reliability, security, and compliance while providing real-time logging, cost tracking, and observability tools. Cerebium also offers GPU variety and effortless autoscaling to meet the diverse needs of developers and businesses.

Anycores is an AI tool designed to optimize the performance of deep neural networks and reduce the cost of running AI models in the cloud. It offers a platform that provides automated solutions for tuning and inference consultation, optimized networks zoo, and platform for reducing AI model cost. Anycores focuses on faster execution, reducing inference time over 10x times, and footprint reduction during model deployment. It is device agnostic, supporting Nvidia, AMD GPUs, Intel, ARM, AMD CPUs, servers, and edge devices. The tool aims to provide highly optimized, low footprint networks tailored to specific deployment scenarios.

Dynamiq is an operating platform for GenAI applications that enables users to build compliant GenAI applications in their own infrastructure. It offers a comprehensive suite of features including rapid prototyping, testing, deployment, observability, and model fine-tuning. The platform helps streamline the development cycle of AI applications and provides tools for workflow automations, knowledge base management, and collaboration. Dynamiq is designed to optimize productivity, reduce AI adoption costs, and empower organizations to establish AI ahead of schedule.

Qubinets is a cloud data environment solutions platform that provides building blocks for building big data, AI, web, and mobile environments. It is an open-source, no lock-in, secured, and private platform that can be used on any cloud, including AWS, Digital Ocean, Google Cloud, and Microsoft Azure. Qubinets makes it easy to plan, build, and run data environments, and it streamlines and saves time and money by reducing the grunt work in setup and provisioning.

Weights & Biases is a machine learning platform that helps data scientists and engineers build, train, and deploy machine learning models. It provides a central location to track and manage all of your machine learning projects, and it offers a variety of tools to help you collaborate with others and share your work.

Anyscale is a company that provides a scalable compute platform for AI and Python applications. Their platform includes a serverless API for serving and fine-tuning open LLMs, a private cloud solution for data privacy and governance, and an open source framework for training, batch, and real-time workloads. Anyscale's platform is used by companies such as OpenAI, Uber, and Spotify to power their AI workloads.

OpenPlayground is a cloud-based platform that provides access to a variety of AI tools and resources. It allows users to train and deploy machine learning models, access pre-trained models, and collaborate on AI projects. OpenPlayground is designed to make AI more accessible and easier to use for everyone, from beginners to experienced data scientists.

Seldon is an MLOps platform that helps enterprises deploy, monitor, and manage machine learning models at scale. It provides a range of features to help organizations accelerate model deployment, optimize infrastructure resource allocation, and manage models and risk. Seldon is trusted by the world's leading MLOps teams and has been used to install and manage over 10 million ML models. With Seldon, organizations can reduce deployment time from months to minutes, increase efficiency, and reduce infrastructure and cloud costs.

ConsciousML is a blog that provides in-depth and beginner-friendly content on machine learning, data engineering, and productivity. The blog covers a wide range of topics, including ML model deployment, data pipelines, deep work, data engineering, and more. The articles are written by experts in the field and are designed to help readers learn about the latest trends and best practices in machine learning and data engineering.

Arize AI is an AI Observability & LLM Evaluation Platform that helps you monitor, troubleshoot, and evaluate your machine learning models. With Arize, you can catch model issues, troubleshoot root causes, and continuously improve performance. Arize is used by top AI companies to surface, resolve, and improve their models.

Microsoft Azure is a cloud computing service that offers a wide range of products and solutions for businesses and developers. It provides services such as databases, analytics, compute, containers, hybrid cloud, AI, application development, and more. Azure aims to help organizations innovate, modernize, and scale their operations by leveraging the power of the cloud. With a focus on flexibility, performance, and security, Azure is designed to support a variety of workloads and use cases across different industries.

Granica is an AI tool designed for data compression and optimization, enabling users to transform petabytes of data into terabytes through self-optimizing, lossless compression. It works seamlessly across various data platforms like Iceberg, Delta, Trino, Spark, Snowflake, BigQuery, and Databricks, offering significant cost savings and improved query performance. Granica is trusted by data and AI leaders globally for its ability to reduce data bloat, speed up queries, and enhance data lake optimization. The tool is built for structured AI, providing transparent deployment, continuous adaptation, hands-off orchestration, and trusted controls for data security and compliance.

OpenAIValue is an AI-powered platform offering Digital Developers™, customizable developers powered by the advanced GPT-4 model. The platform provides a cost-effective alternative to traditional Java developers, with capabilities such as 24/7 work, continuous delivery, seamless scaling in the cloud, and customizable experiences. Users can pre-order teams of Digital Developers™ and receive a Digital Designer™ for free. OpenAIValue aims to revolutionize software development processes by leveraging AI technology.

Render is a platform that simplifies the deployment and scaling of web applications and services. It provides a seamless experience for developers to launch their applications quickly and efficiently. With Render, users can easily manage their infrastructure, monitor performance, and ensure high availability of their applications. The platform offers a range of features to streamline the deployment process and optimize the performance of web applications.

Heroku is a cloud platform that lets companies build, deliver, monitor, and scale apps. It simplifies the process of deploying applications by providing a seamless experience for developers. With Heroku, developers can focus on writing code without worrying about infrastructure management. The platform supports various programming languages and frameworks, making it versatile for different types of applications.

Heroku is a cloud platform that enables developers to build, deliver, monitor, and scale applications quickly and easily. It supports multiple programming languages and provides a seamless deployment process. With Heroku, developers can focus on coding without worrying about infrastructure management.

Salad is a distributed GPU cloud platform that offers fully managed and massively scalable services for AI applications. It provides the lowest priced AI transcription in the market, with features like image generation, voice AI, computer vision, data collection, and batch processing. Salad democratizes cloud computing by leveraging consumer GPUs to deliver cost-effective AI/ML inference at scale. The platform is trusted by hundreds of machine learning and data science teams for its affordability, scalability, and ease of deployment.

Modal is a high-performance cloud platform designed for developers, AI data, and ML teams. It offers a serverless environment for running generative AI models, large-scale batch jobs, job queues, and more. With Modal, users can bring their own code and leverage the platform's optimized container file system for fast cold boots and seamless autoscaling. The platform is engineered for large-scale workloads, allowing users to scale to hundreds of GPUs, pay only for what they use, and deploy functions to the cloud in seconds without the need for YAML or Dockerfiles. Modal also provides features for job scheduling, web endpoints, observability, and security compliance.

Koxy AI is an AI-powered serverless back-end platform that allows users to build globally distributed, fast, secure, and scalable back-ends with no code required. It offers features such as live logs, smart errors handling, integration with over 80,000 AI models, and more. Koxy AI is designed to help users focus on building the best service possible without wasting time on security and latency concerns. It provides a No-SQL JSON-based database, real-time data synchronization, cloud functions, and a drag-and-drop builder for API flows.

SarvaHit AI is an AI consulting firm that specializes in providing AI solutions for businesses. They offer services such as custom code automation solutions, personalized AI assistant deployment, advanced model integration and deployment, custom use case analysis, and knowledge sharing and training. The company aims to empower businesses by leveraging the power of artificial intelligence to enhance efficiency, decision-making, and value creation.

Cerebium is a serverless AI infrastructure platform that allows teams to build, test, and deploy AI applications quickly and efficiently. With a focus on speed, performance, and cost optimization, Cerebium offers a range of features and tools to simplify the development and deployment of AI projects. The platform ensures high reliability, security, and compliance while providing real-time logging, cost tracking, and observability tools. Cerebium also offers GPU variety and effortless autoscaling to meet the diverse needs of developers and businesses.

IBM is a leading technology company that offers a wide range of AI and machine learning solutions to help businesses innovate and grow. From AI models to cloud services, IBM provides cutting-edge technology to address various business challenges. The company also focuses on AI ethics and offers training programs to enhance skills in cybersecurity and data analytics. With a strong emphasis on research and development, IBM continues to push the boundaries of technology to solve real-world problems and drive digital transformation across industries.

GPUX is a cloud platform that provides access to GPUs for running AI workloads. It offers a variety of features to make it easy to deploy and run AI models, including a user-friendly interface, pre-built templates, and support for a variety of programming languages. GPUX is also committed to providing a sustainable and ethical platform, and it has partnered with organizations such as the Climate Leadership Council to reduce its carbon footprint.

PoplarML is a platform that enables the deployment of production-ready, scalable ML systems with minimal engineering effort. It offers one-click deploys, real-time inference, and framework agnostic support. With PoplarML, users can seamlessly deploy ML models using a CLI tool to a fleet of GPUs and invoke their models through a REST API endpoint. The platform supports Tensorflow, Pytorch, and JAX models.

Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform from Amazon that provides a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. With AWS, you can use as much or as little of its services as you need, and scale up or down as required with only a few minutes notice. AWS has a global network of regions and availability zones, so you can deploy your applications and data in the locations that are optimal for you.

Qubinets is a cloud data environment solutions platform that provides building blocks for building big data, AI, web, and mobile environments. It is an open-source, no lock-in, secured, and private platform that can be used on any cloud, including AWS, Digital Ocean, Google Cloud, and Microsoft Azure. Qubinets makes it easy to plan, build, and run data environments, and it streamlines and saves time and money by reducing the grunt work in setup and provisioning.

Codimite is an AI-assisted offshore development company that provides a range of services to help businesses accelerate their software development, reduce costs, and drive innovation. Codimite's team of experienced engineers and project managers use AI-powered tools and technologies to deliver exceptional results for their clients. The company's services include AI-assisted software development, cloud modernization, and data and artificial intelligence solutions.

LogicMonitor is a cloud-based infrastructure monitoring platform that provides real-time insights and automation for comprehensive, seamless monitoring with agentless architecture. It offers a unified platform for monitoring infrastructure, applications, and business services, with advanced features for hybrid observability. LogicMonitor's AI-driven capabilities simplify complex IT ecosystems, accelerate incident response, and empower organizations to thrive in the digital landscape.

Google Cloud is a suite of cloud computing services that runs on the same infrastructure as Google. Its services include computing, storage, networking, databases, machine learning, and more. Google Cloud is designed to make it easy for businesses to develop and deploy applications in the cloud. It offers a variety of tools and services to help businesses with everything from building and deploying applications to managing their infrastructure. Google Cloud is also committed to sustainability, and it has a number of programs in place to reduce its environmental impact.

Kin + Carta is a global digital transformation consultancy that helps organizations embrace digital change through data, cloud, and experience design. The company's services include data and AI, cloud and platforms, experience and product design, managed services, and strategy and innovation. Kin + Carta has a team of over 2000 experts who work with clients in a variety of industries, including automotive, financial services, healthcare, and retail.

Simplilearn is an online bootcamp and certification platform that offers courses in various fields, including AI and machine learning, project management, cyber security, cloud computing, and data science. The platform partners with leading universities and companies to provide industry-relevant training and certification programs. Simplilearn's courses are designed to help learners develop job-ready skills and advance their careers.

Seldon is an MLOps platform that helps enterprises deploy, monitor, and manage machine learning models at scale. It provides a range of features to help organizations accelerate model deployment, optimize infrastructure resource allocation, and manage models and risk. Seldon is trusted by the world's leading MLOps teams and has been used to install and manage over 10 million ML models. With Seldon, organizations can reduce deployment time from months to minutes, increase efficiency, and reduce infrastructure and cloud costs.

The Microsoft Tech Community is an online forum where users can connect with experts and peers to find answers, ask questions, build skills, and accelerate their digital transformation with the Microsoft Cloud. It offers a variety of resources, including discussions, blogs, events, and learning materials, on a wide range of topics related to Microsoft products and technologies.

Voximplant is a cloud communications platform that provides a range of tools and services for businesses to build and scale their communications solutions. The platform includes a variety of features such as voice, video, messaging, natural language processing, and SIP trunking. Voximplant also offers a no-code drag-and-drop contact center solution called Voximplant Kit, which is designed to help businesses improve customer experience and automate processes. Voximplant is used by millions of users worldwide and is trusted by companies such as Airbnb, Uber, and Salesforce.