C3 AI Suite Alternatives

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection.

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven.

Commerce Layer is a composable ecommerce platform with native multi-market capability. Our services power enterprise-grade ecommerce to any frontend - websites, mobile apps, IoT devices, voice-activated assistants, or any JAMstack architecture. Our developer-first approach underlines the wide range of developer tools - from our high-performance APIs to our micro frontend applications that operate from the client-side - making things easier for developers building composable commerce stores. Build unique, blazing fast ecommerce websites without worrying about servers and security. Use Jekyll, Next.js, Hugo, Gatsby, Nuxt.js or any of the 200+ available SSGs to build a static website. Give your content editors a best of breed headless CMS like Contentful, DatoCMS, Prismic, GraphCMS, Forestry, or any of the 100+ options that you can choose from. Seamlessy integrate prices, inventory, checkout, and customer accounts through the API.

Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure. We’ve intentionally designed Cloud Run to make developers more productive - you get to focus on writing your code, using your favorite language, and Cloud Run takes care of operating your service. Fully managed compute platform for deploying and scaling containerized applications quickly and securely. Write code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more). Abstract away all infrastructure management for a simple developer experience. Build applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. Cloud Run only charges you for the exact resources you use. Cloud Run makes app development & deployment simpler.

Rayven is an easy-to-use SaaS platform for solving business' interoperability, real-time data + app development challenges without replacing legacy technologies, adding risk, or long development cycles. iPaaS, Data, IoT, Workflow Automation, Analytics, BI, AI, App Development + PaaS all rolled into one; Rayven simplifies the complexity of system integration, real-time data analysis + custom app development - empowering you to tackle any real-world business challenge and solve it, simply. Rayven enables you to: - Integrate Anything-to-Everything - Build Workflows + Applications, Fast - Add custom AI + Automation Anywhere Easy-to-use, universally compatible + infinitely scalable; Rayven streamlines your technology stack, is affordable for every business, and turbocharges your existing technologies to deliver on the full potential of real-time decision-making (via human or AI).

Union.ai is an award-winning, Flyte-based data and ML orchestrator for scalable, reproducible ML pipelines. With Union.ai, you can write your code locally and easily deploy pipelines to remote Kubernetes clusters. “Flyte’s scalability, data lineage, and caching capabilities enable us to train hundreds of models on petabytes of geospatial data, giving us an edge in our business.” — Arno, CTO at Blackshark.ai “With Flyte, we want to give the power back to biologists. We want to stand up something that they can play around with different parameters for their models because not every … parameter is fixed. We want to make sure we are giving them the power to run the analyses.” — Krishna Yeramsetty, Principal Data Scientist at Infinome “Flyte plays a vital role as a key component of Gojek's ML Platform by providing exactly that." — Pradithya Aria Pura, Principal Engineer at Goj

Microsoft's Azure is a cloud computing platform that allows for rapid and secure application development, testing and management. Azure. Invent with purpose. Turn ideas into solutions with more than 100 services to build, deploy, and manage applications—in the cloud, on-premises, and at the edge—using the tools and frameworks of your choice. Continuous innovation from Microsoft supports your development today, and your product visions for tomorrow. With a commitment to open source, and support for all languages and frameworks, build how you want, and deploy where you want to. On-premises, in the cloud, and at the edge—we’ll meet you where you are. Integrate and manage your environments with services designed for hybrid cloud. Get security from the ground up, backed by a team of experts, and proactive compliance trusted by enterprises, governments, and startups. The cloud you can trust, with the numbers to prove it.

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. Traditional ML development is a complex, expensive, iterative process made even harder because there are no integrated tools for the entire machine learning workflow. You need to stitch together tools and workflows, which is time-consuming and error-prone. SageMaker solves this challenge by providing all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost. Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps. SageMaker Studio gives you complete access, control, and visibility into each step required.

Whether you're looking for compute power, database storage, content delivery, or other functionality, AWS has the services to help you build sophisticated applications with increased flexibility, scalability and reliability. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. AWS has significantly more services, and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. This makes it faster, easier, and more cost effective to move your existing applications to the cloud.

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

With Bosch IoT Suite you can create abstract representations of real-world assets or devices in the cloud. These digital twins comprise all the capabilities and aspects of their physical counterparts. By storing and updating the data, properties, and relationships of an asset and providing notifications of all relevant changes they allow you to keep the real and digital worlds in sync.

AI Cloud is a new approach built for the demands, challenges and opportunities of AI today. A single system of record, accelerating the delivery of AI to production for every organization. All users collaborate in a unified environment built for continuous optimization across the entire AI lifecycle. The AI Catalog enables seamlessly finding, sharing, tagging, and reusing data, helping to speed time to production and increase collaboration. The catalog provides easy access to the data needed to answer a business problem while ensuring security, compliance, and consistency. If your database is protected by a network policy that only allows connections from specific IP addresses, contact Support for a list of addresses that an administrator must add to your network policy (whitelist).

Profet AI’s end-to-end No-Code AutoML Platform is manufacturers’ Virtual Data Scientist. It empowers industry domain/IT experts to rapidly build high-quality prediction models and deploy Industrial AI applications to solve their everyday production and digitalization challenges. Profet AI AutoML Platform is widely adopted by world's leading customers across industries, including the world's leading EMS, Semi-OSAT, PCB, IC design House, display panel and materials solution providers. We leverage industry leading companies' successful cases to benefit our customers to implement AI within one week.

OPUS is a leading industrial no-code AI platform that allows users to model processes and equipment to identify opportunities for optimization and predictive maintenance. Without any programming or coding experience teams can analyze their data, predict future performance, identify opportunities to reduce power consumption, improve productivity, and make adjustments to settings which can drastically improve operational outcomes. Dive deeper into your asset's data than ever before. Discover unexpected correlations that existed unnoticed, and root cause analysis into individual components so you can focus your efforts. Improve safety, compliance and environmental outcomes through artificial intelligence predictive insights, allowing you to plan interventions and make informed business decisions. With rapid deployment & AI model results in just minutes, you can unleash the power of your operational data and experience ROI. Optimize your entire facility, plant or worksite.

Integrate, manage, secure, and analyze all of your enterprise data. Organizations have data. Lots of it. Structured data like log files, spreadsheets, and tables. Unstructured data like emails, documents, images, and videos. This data is typically stored in disconnected systems, where it rapidly diversifies in type, increases in volume, and becomes more difficult to use every day. The people who rely on this data don't think in terms of rows, columns, or raw text. They think in terms of their organization's mission and the challenges they face. They need a way to ask questions about their data and receive answers in a language they understand. Enter the Palantir Gotham Platform. Palantir Gotham integrates and transforms data, regardless of type or volume, into a single, coherent data asset. As data flows into the platform, it is enriched and mapped into meaningfully defined objects — people, places, things, and events — and the relationships that connect them.

With Digital Twin & Data Explorer, AI Solutions Builder and Automation of Production features, the Wizata Platform empowers the manufacturing industry to drive its digital transformation and facilitates the development of AI solutions from proof of concept to real-time production recommendations for a complete loop process control through AI. This open architecture platform (SaaS– Software as a Service) acts as an orchestrator of your different assets (machines, sensors, AI, cloud, edge,) and ensures you gather and explore easily your data that stays under your sole control. Control resources invested into AI experiments step by step and prioritize your projects depending on how your AI solutions solve your business pains and improve production processes, their return of investment and according to data science best practices in metallurgy that we developed since 4 years around the world.

Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.

Use our platform to build AI products, train, fine tune and deploy models on the cloud without worrying about infrastructure, cost management, scaling, and other technical headaches. Train, fine tune and deploy models with prebuilt, fully customizable, modular components. Focus on the science and not the engineering. A Lightning component organizes code to run on the cloud, manage its own infrastructure, cloud costs, and more. 50+ optimizations to lower cloud costs and deliver AI in weeks not months. Get enterprise-grade control with consumer-level simplicity to optimize performance, reduce cost, and lower risk. Go beyond a demo. Launch the next GPT startup, diffusion startup, or cloud SaaS ML service in days not months.

PredictSense is an end-to-end Machine Learning platform powered by AutoML to create AI-powered analytical solutions. Fuel the new technological revolution of tomorrow by accelerating machine intelligence. AI is key to unlocking value from enterprise data investments. PredictSense enables businesses to monetize critical data infrastructure and technology investments by creating AI driven advanced analytical solutions rapidly. Empower data science and business teams with advanced capabilities to quickly build and deploy robust technology solutions at scale. Easily integrate AI into the current product ecosystem and fast track GTM for new AI solutions. Incur huge savings in cost, time and effort by building complex ML models in AutoML. PredictSense democratizes AI for every individual in the organization and creates a simple, user-friendly collaboration platform to seamlessly manage critical ML deployments.

Watsonx is our upcoming enterprise-ready AI and data platform designed to multiply the impact of AI across your business. The platform comprises three powerful components: the watsonx.ai studio for new foundation models, generative AI and machine learning; the watsonx.data fit-for-purpose store for the flexibility of a data lake and the performance of a data warehouse; plus the watsonx.governance toolkit, to enable AI workflows that are built with responsibility, transparency and explainability. Watsonx is our enterprise-ready AI and data platform designed to multiply the impact of AI across your business. The platform comprises three powerful products: the watsonx.ai studio for new foundation models, generative AI and machine learning; the watsonx.data fit-for-purpose data store, built on an open lakehouse architecture; and the watsonx.governance toolkit, to accelerate AI workflows that are built with responsibility, transparency and explainability.

Daria’s advanced automated features allow users to quickly and easily build predictive models, significantly cutting back on days and weeks of iterative work associated with the traditional machine learning process. Remove financial and technological barriers to build AI systems from scratch for enterprises. Streamline and expedite workflows by lifting weeks of iterative work through automated machine learning for data experts. Get hands-on experience in machine learning with an intuitive GUI for data science beginners. Daria provides various data transformation functions to conveniently construct multiple feature sets. Daria automatically explores through millions of possible combinations of algorithms, modeling techniques and hyperparameters to select the best predictive model. Predictive models built with Daria can be deployed straight to production with a single line of code via Daria’s RESTful API.

Apprenda Cloud Platform empowers enterprise IT to create a Kubernetes-enabled shared service on the infrastructures of their choice and offer it to developers across business units. ACP supports your entire custom application portfolio. Rapidly build, deploy, run, and manage cloud-native, microservices, and container-based .NET and Java applications or modernize traditional workloads. ACP gives your developers self-service access to the tools they need to rapidly build applications, while IT operators can very easily orchestrate the environments and workflows. Enterprise IT becomes a true service provider. ACP is a single platform spanning your multiple data- centers and clouds. Run ACP on-premise or consume it as a managed service on the public cloud; both with the assurance of complete infrastructure independence. ACP enables policy-driven control over all of your application workloads' infrastructure utilization and DevOps processes.

Design and deliver apps in a snap with a service that allows the subject matter experts, and IT developers, to visually build and deploy process-driven, application solutions. Visually model and create a process-driven application in weeks rather than months using a web UI. With webMethods AgileApps Cloud, there’s no code generation or file-based compilation—just an enjoyable and empowering app dev experience. Subject matter experts—the people who know their area best—can create situational and case management applications. They can change processes, business rules, e-forms, reports and dashboards, and connect with Facebook or Twitter®. They can collaborate with team members and access information from any mobile device. Subscribe to webMethods AgileApps Cloud and start building your situational, process-driven application today. You don’t have to worry about hardware and maintenance costs when you use our software-as-a-service in the cloud.

Tatsoft’s FactoryStudio gives you the tools to rapidly design powerful and secure industrial applications! Features: real-time data modeling, data logging, MQTT broker/client/spB, audit trail, alarms & events, visual SQL query database gateway, high-performance smart displays, HTML5 dashboards, WPF drawing tools, iOS app, trends & annotations, reporting & more! You can program scripts in C#, VB.NET, JavaScript and Python. With ZERO install on the client side, and only 2 minutes install server side, you can be up and building performance improving applications in no time! Includes dozens of built-in native protocol drivers to PLCs, DCSs, and support for other industry standards, like OPC and MQTT. Need a driver we don’t have yet? We also have a toolkit for protocol driver development! FactoryStudio can act as your data hub for everything in your industrial ecosystem: your link between IT and OT, your real-time devices, and your SQL data sources with easy data-binding

Make AI a trusted part of your business. Build better, deploy faster, and audit easily with the flexibility of a cloud-native platform and the power to deploy anywhere. Easily import models and search cataloged models from across your organization. Save time by annotating data rapidly with model-in-the-loop hinting. Understand the full provenance of your data, models, workflows, and inferences. Deploy models where you need them, including for edge and IoT use cases. Getting valuable insights from your data is not just for data scientists. With Chariot’s low-code interface, meaningful collaboration can take place across teams. Train models rapidly using your organization's production data. Deploy models with one click and monitor models in production at scale.

Build and deploy deep learning models for custom use cases. Our automated machine learning process allows customers to create powerful AI solutions built on our best-in-class models and tailored to the specific challenges they face. Digital platforms can quickly create models specifically made to fit their guidelines and needs. Build large language models for specialized use cases such as customer and technical support bots. Create image classification models to better understand image libraries for search, organization, and more.

RapidMiner is reinventing enterprise AI so that anyone has the power to positively shape the future. We’re doing this by enabling ‘data loving’ people of all skill levels, across the enterprise, to rapidly create and operate AI solutions to drive immediate business impact. We offer an end-to-end platform that unifies data prep, machine learning, and model operations with a user experience that provides depth for data scientists and simplifies complex tasks for everyone else. Our Center of Excellence methodology and the RapidMiner Academy ensures customers are successful, no matter their experience or resource levels. Simplify operations, no matter how complex models are, or how they were created. Deploy, evaluate, compare, monitor, manage and swap any model. Solve your business issues faster with sharper insights and predictive models, no one understands the business problem like you do.

Train and serve large AI models at scale with a single command. Point to your S3 bucket and go. We handle the rest, orchestration, efficiency, node failures, and infrastructure. Simple and scalable. MosaicML enables you to easily train and deploy large AI models on your data, in your secure environment. Stay on the cutting edge with our latest recipes, techniques, and foundation models. Developed and rigorously tested by our research team. With a few simple steps, deploy inside your private cloud. Your data and models never leave your firewalls. Start in one cloud, and continue on another, without skipping a beat. Own the model that's trained on your own data. Introspect and better explain the model decisions. Filter the content and data based on your business needs. Seamlessly integrate with your existing data pipelines, experiment trackers, and other tools. We are fully interoperable, cloud-agnostic, and enterprise proved.

The Xilinx’s AI development platform for AI inference on Xilinx hardware platforms consists of optimized IP, tools, libraries, models, and example designs. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Xilinx FPGA and ACAP. Supports mainstream frameworks and the latest models capable of diverse deep learning tasks. Provides a comprehensive set of pre-optimized models that are ready to deploy on Xilinx devices. You can find the closest model and start re-training for your applications! Provides a powerful open source quantizer that supports pruned and unpruned model quantization, calibration, and fine tuning. The AI profiler provides layer by layer analysis to help with bottlenecks. The AI library offers open source high-level C++ and Python APIs for maximum portability from edge to cloud. Efficient and scalable IP cores can be customized to meet your needs of many different applications.

Developing AI solutions requires an engineering approach that is resilient, open and repeatable to ensure necessary quality and agility is achieved. Until today these efforts are missing the foundation to address these challenges amid a sea of point tools and fast changing models and data. Collaborative developer platform for automating development and control of AI applications across multiple personas. Derive hyper-detailed customer profiles from enterprise data to predict behaviors in real-time and at scale. Generate AI-powered models designed to continuously learn and achieve clearly defined business outcomes. Enables organizations to explain and prove compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform addresses enterprise AI use cases through modular platform offerings. Our customers consume and leverage its capabilities as microservices within their enterprise AI initiatives.

Empower your ML teams to deliver robust and performant AI models by auto-diagnosing and improving your data and models. The only platform that can auto-diagnose data and models, empowering ML teams to deliver robust and performant AI models faster. Covering camera noise, sign stickers, shadows, and others. Confirmed with real-world images on which the model systematically fails. While improving model accuracy by 0.2%. Our mission is to change the way the next generation of AI systems is built. If we are to use AI in our businesses, at doctor’s offices, on our roads, or in our homes, we need to build AI systems that companies and users can trust. We are leading AI professors and researchers from ETH Zurich with broad expertise in formal methods, symbolic reasoning, and machine learning. We started LatticeFlow with the goal of building the world’s first platform that enables companies to deliver robust AI models that work reliably in the wild.

Creating responsible AI is a business problem, not just a tech problem. We solve for the whole problem by bringing teams together onto one platform to mitigate risk, leverage your full potential, and turn intention into action. Uniting every stage of your AI/ML journey with cloud-based governance applications. GovernML is the kickstarter you need to bring good AI/ML systems into the world. We bring user-friendly workflows that document the lifecycle of your AI journey on one platform. That’s good news for your risk mitigation and your bottom line. Monitaur provides cloud-based governance applications that track your AI/ML models from policy to proof. We are SOC 2 Type II-certified to enhance your AI governance and deliver bespoke solutions on a single unifying platform. GovernML brings responsible AI/ML systems into the world. Get scalable, user-friendly workflows that document the lifecycle of your AI journey on one platform.

IBM Watson OpenScale is an enterprise-scale environment for AI-powered applications that provides businesses with visibility into how AI is created and used, and how ROI is delivered. IBM Watson OpenScale is an enterprise-scale environment for AI-powered applications that provides companies with visibility into how AI is created and used, and how ROI is delivered at the business level. Create and develop trusted AI using the IDE of your choice and power your business and support teams with data insights into how AI affects business results. Capture payload data and deployment output to monitor the ongoing health of business applications through operations dashboards, alerts, and access to open data warehouse for custom reporting. Automatically detects when artificial intelligence systems deliver the wrong results at run time, based on business-determined fairness attributes. Mitigate bias through smart recommendations of new data for new model training.

AI today is blocked by lack of labeled data, not models. Unblock AI with the first data-centric AI development platform powered by a programmatic approach. Snorkel AI is leading the shift from model-centric to data-centric AI development with its unique programmatic approach. Save time and costs by replacing manual labeling with rapid, programmatic labeling. Adapt to changing data or business goals by quickly changing code, not manually re-labeling entire datasets. Develop and deploy high-quality AI models via rapid, guided iteration on the part that matters–the training data. Version and audit data like code, leading to more responsive and ethical deployments. Incorporate subject matter experts' knowledge by collaborating around a common interface, the data needed to train models. Reduce risk and meet compliance by labeling programmatically and keeping data in-house, not shipping to external annotators.

Delineate offers an easy-to-use platform for generating machine learning-driven predictive models for a range of purposes. Enrich your CRM data with churn predictions, sales forecasts, and even build data products for your customers and team, just to name a few. With Delineate you can access data-driven insights to improve decision-making with ease. The platform caters to founders, revenue teams, product managers, executives, and data enthusiasts. Try Delineate and unleash your data's full potential.

The single development environment for the entire data science workflow. Natively analyze your data with a reduction in context switching between services. Data to training at scale. Build and train models 5X faster, compared to traditional notebooks. Scale-up model development with simple connectivity to Vertex AI services. Simplified access to data and in-notebook access to machine learning with BigQuery, Dataproc, Spark, and Vertex AI integration. Take advantage of the power of infinite computing with Vertex AI training for experimentation and prototyping, to go from data to training at scale. Using Vertex AI Workbench you can implement your training, and deployment workflows on Vertex AI from one place. A Jupyter-based fully managed, scalable, enterprise-ready compute infrastructure with security controls and user management capabilities. Explore data and train ML models with easy connections to Google Cloud's big data solutions.

vishwa.ai is an AutoOps platform for AI and ML use cases. It provides expert prompt delivery, fine-tuning, and monitoring of Large Language Models (LLMs). Features: Expert Prompt Delivery: Tailored prompts for various applications. Create no-code LLM Apps: Build LLM workflows in no time with our drag-n-drop UI Advanced Fine-Tuning: Customization of AI models. LLM Monitoring: Comprehensive oversight of model performance. Integration and Security Cloud Integration: Supports Google Cloud, AWS, Azure. Secure LLM Integration: Safe connection with LLM providers. Automated Observability: For efficient LLM management. Managed Self-Hosting: Dedicated hosting solutions. Access Control and Audits: Ensuring secure and compliant operations.

Every step of the machine learning and computer vision workflow is made simple and fast within one no-code platform. Sense allows anyone to build and deploy AI IoT solutions to any cloud, the edge or on-premise. Learn how Sense provides simplicity, consistency and transparency to AI/ML teams with enough power and depth for ML engineers yet easy enough to use for subject matter experts. Sense Data Annotation optimizes the success of your machine learning models with the fastest, easiest way to label video and image data for high-quality training dataset creation. The Sense platform offers one-touch labeling integration for continuous machine learning at the edge for simplified management of all your AI solutions.

Accelerate the end-to-end machine learning lifecycle. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.

Macaw is an enterprise grade platform optimized for building and transforming applications for digital age. Macaw provides an unique approach to modernize traditional applications to utilize containers and microservices technologies. It also offers a turn-key approach for enterprises to design, develop, build, publish, run and operate microservices based application in a holistic manner irrespective of the underlying infrastructure and clouds. Macaw is meant for enterprises looking to accelerate their modernization journey with hybrid-cloud strategy and cloud native applications. Thanks to its many built-in foundational services ,turnkey operational capabilities and kubernetes integration. Macaw provides the necessary run time environment, services and tools to build, deploy and manage Microservices based application. It provides various built-in and readily usable core application services like database, security, messaging, load-balancing for accelerated development and turn-key ops.

Cloud Foundry makes it faster and easier to build, test, deploy and scale applications, providing a choice of clouds, developer frameworks, and application services. It is an open source project and is available through a variety of private cloud distributions and public cloud instances. Cloud Foundry has a container-based architecture that runs apps in any programming language. Deploy apps to CF using your existing tools and with zero modification to the code. Instantiate, deploy, and manage high-availability Kubernetes clusters with CF BOSH on any cloud. By decoupling applications from infrastructure, you can make individual decisions about where to host workloads – on premise, in public clouds, or in managed infrastructures – and move those workloads as necessary in minutes, with no changes to the app.

Build enterprise apps much faster on the Salesforce Platform, a single, unified ecosystem of tools and services that empowers developers to quickly build and deploy solid, secure, and scalable cloud applications. With Salesforce Platform, developers can customize their CRM solution with myLightning; engage employees with AI-powered apps, add security and compliance controls, and engage customers. Prices for Salesform Platform starts at $25 per user per month.

Build the web and cloud applications you need on your terms while using the many languages we support. Simplify the management of your applications with cloud services while ensuring high availability. Scale your environment automatically based on demand and reduce costs. Automate operating system and application updates to increase security. Take advantage of integrated health monitoring and load balancing. Focus on your application, not the underlying cloud infrastructure. Highly available and massively scalable platform for your applications and APIs. Accelerated application deployment. Autoscaling of your cloud environment to optimize costs and improve performance. Integrated health monitoring and load balancing with dashboards and real-time alerts. Excellent development experience using the Azure SDK, which integrates seamlessly with Visual Studio. Build and deploy powerful web and cloud applications and services in minutes with Azure Cloud Services.

Cloud Foundry ensures that the build and deploy aspects of coding remain carefully coordinated with any attached services — resulting in quick, consistent and reliable iterating of applications. As an industry-standard platform as a service (PaaS), Cloud Foundry ensures the fastest, easiest and most reliable deployment of cloud-native applications. IBM offers the Cloud Foundry PaaS in several hosting models, allowing you to customize your PaaS experience and balance a range of considerations, including price, deployment speed and security. Cloud Foundry includes runtimes for Java, Node.js, PHP, Python, Ruby, ASP.NET, Tomcat, Swift and Go. Community build packs are also available. Combined with DevOps services, the application runtimes enable a delivery pipeline that automates much of the iterative development process.

The flexibility and control you need to build innovative digital experiences. Eliminate the need to build, manage, and maintain core infrastructure. Create an instant application clone for every Git branch to rapidly update, test, and deploy new features to production. Benefit from automated deployments, stable environments, and a consistent development workflow—without managing infrastructure. Develop on a single, global, secured cloud infrastructure, and solve multiple customer needs across different industries and geographies. Build amazing websites and web apps in the languages and frameworks of your choice. Deploy a complex architecture with a single click, get a secure, fully built, managed infrastructure, in seconds. Innovate faster because all the services you need are included—1 website or 1,000, get up and running quickly. Focus on solving customer challenges, not on operating infrastructure.

Cerebro is a cutting-edge generative AI platform designed for enterprises. This versatile multi-model platform enables users to create, manage, and deploy generative AI applications 10x faster. With Cerebro, ensure responsible AI development through meticulous governance and adherence to applicable regulations. Empower your organization to innovate and thrive in the AI era. Key Features: Multi-model support Accelerated development and deployment Robust governance and compliance Scalable and adaptable architecture

Catalyst is a highly scalable serverless platform that lets developers build and deploy world-class solutions without managing servers. A complete serverless development platform. Catalyst provides a variety of components that help you ship high-quality serverless solutions fast. Run code without managing servers. Debug locally and deploy at scale. Design workflows and orchestrate functions for resilient business-critical tasks. Store and serve large volumes of relational data. Secure your data with our fine-grain data store access controls. Store and retrieve images, documents, and other files at blazing speed. Train large datasets of structured data to create accurate prediction models. Scan and digitize paper documents, receipts, and any other image with our powerful optical character recognition API. Authenticate users securely with a variety of sign-in options to secure your application.

For a simple, scalable high quality data center, discover more about secure colocation services in Sweden from Hydro66. Connect your servers at blazing fast internet speeds, deploy a private cloud or hybrid cloud architecture or create a secure backup or disaster recovery site. Start from a single rack or grow further and faster with true scalable space and power. Do you expect more than just rack space from your colocation hosting partner? We will help you install your kit, deliver connectivity solution options and provide class-leading security to make sure your applications stay online all the time. When you need a colocation cage for an additional layer of privacy we will custom design and build the space and power density you need. Mesh steel built from solid floor to ceiling gives your applications the ultimate physical security. For maximum flexibility and time to market for colocation build to spec projects, we can provide a range of resilience, size and density options.

Automate and manage your retail operations and supply chain with enterprise applications, web-based dashboards and operational reports. Mojix’s vertical cloud technologies help retailers scale edge locations quickly without sacrificing visibility and security—allowing retail applications and features to trickle down into the hands of retail employees and customers as needed. The Mojix ytem™ solution provides retail customers end-to-end traceability with item-level visibility, across manufacturing, supply chain and retail operations. This enables product authenticity and transparency to unlock business and operational ROI along the whole item lifecycle.

Now available—a next generation enterprise studio for AI builders to train, validate, tune and deploy AI models IBM® watsonx.ai™ AI studio is part of the IBM watsonx™ AI and data platform, bringing together new generative AI (gen AI) capabilities powered by foundation models and traditional machine learning (ML) into a powerful studio spanning the AI lifecycle. Tune and guide models with your enterprise data to meet your needs with easy-to-use tools for building and refining performant prompts. With watsonx.ai, you can build AI applications in a fraction of the time and with a fraction of the data. Watsonx.ai offers: End-to-end AI governance: Enterprises can scale and accelerate the impact of AI with trusted data across the business, using data wherever it resides. Hybrid, multi-cloud deployments: IBM provides the flexibility to integrate and deploy your AI workloads into your hybrid-cloud stack of choice.