aiXplain 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.

Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.

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.

Scale your machine learning development from research to production with an end-to-end solution that gives your data science team all the tools they need in one place. As the leading data science platform for MLOps and model management, cnvrg.io is a pioneer in building cutting-edge machine learning development solutions so you can build high-impact machine learning models in half the time. Bridge science and engineering teams in a clear and collaborative machine learning management environment. Communicate and reproduce results with interactive workspaces, dashboards, dataset organization, experiment tracking and visualization, a model repository and more. Focus less on technical complexity and more on building high impact ML models. Cnvrg.io container-based infrastructure helps simplify engineering heavy tasks like tracking, monitoring, configuration, compute resource management, serving infrastructure, feature extraction, and model deployment.

ClearML is the leading open source MLOps and AI platform that helps data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale. Our frictionless, unified, end-to-end MLOps suite enables users and customers to focus on developing their ML code and automation. ClearML is used by more than 1,300 enterprise customers to develop a highly repeatable process for their end-to-end AI model lifecycle, from product feature exploration to model deployment and monitoring in production. Use all of our modules for a complete ecosystem or plug in and play with the tools you have. ClearML is trusted by more than 150,000 forward-thinking Data Scientists, Data Engineers, ML Engineers, DevOps, Product Managers and business unit decision makers at leading Fortune 500 companies, enterprises, academia, and innovative start-ups worldwide within industries such as gaming, biotech , defense, healthcare, CPG, retail, financial services, among others.

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.

Build, design, prototype, and deploy custom generative AI workflows. Improve customer engagement and team/personal productivity. Build and embed into your website in minutes. Connect the chatbot with your knowledge base, and summarize and answer questions about documents, videos, audio files, and websites instantly. Create marketing copy, personalized outbound emails, call summaries, and graphics at scale. Save time by leveraging a library of pre-built pipelines such as chatbots and document search. Contribute to the marketplace by sharing your pipelines with other users. Our secure infrastructure and zero-day retention policy mean your data will not be stored by model providers. Our partnerships begin with a free diagnostic where we assess whether your organization is generative already and we create a roadmap for creating a turn-key solution using our platform to fit into your processes today.

Your platform for developing generative AI solutions and custom copilots. Build solutions faster, using pre-built and customizable AI models on your data—securely—to innovate at scale. Explore a robust and growing catalog of pre-built and customizable frontier and open-source models. Create AI models with a code-first experience and accessible UI validated by developers with disabilities. Seamlessly integrate all your data from OneLake in Microsoft Fabric. Integrate with GitHub Codespaces, Semantic Kernel, and LangChain. Access prebuilt capabilities to build apps quickly. Personalize content and interactions and reduce wait times. Lower the burden of risk and aid in new discoveries for organizations. Decrease the chance of human error using data and tools. Automate operations to refocus employees on more critical tasks.

Klu.ai is a Generative AI platform that simplifies the process of designing, deploying, and optimizing AI applications. Klu integrates with your preferred Large Language Models, incorporating data from varied sources, giving your applications unique context. Klu accelerates building applications using language models like Anthropic Claude, Azure OpenAI, GPT-4, and over 15 other models, allowing rapid prompt/model experimentation, data gathering and user feedback, and model fine-tuning while cost-effectively optimizing performance. Ship prompt generations, chat experiences, workflows, and autonomous workers in minutes. Klu provides SDKs and an API-first approach for all capabilities to enable developer productivity. Klu automatically provides abstractions for common LLM/GenAI use cases, including: LLM connectors, vector storage and retrieval, prompt templates, observability, and evaluation/testing tooling.

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.

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.

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.

The NeoPulse Product Suite includes everything needed for a company to start building custom AI solutions based on their own curated data. Server application with a powerful AI called “the oracle” that is capable of automating the process of creating sophisticated AI models. Manages your AI infrastructure and orchestrates workflows to automate AI generation activities. A program that is licensed by the organization to allow any application in the enterprise to access the AI model using a web-based (REST) API. NeoPulse is an end-to-end automated AI platform that enables organizations to train, deploy and manage AI solutions in heterogeneous environments, at scale. In other words, every part of the AI engineering workflow can be handled by NeoPulse: designing, training, deploying, managing and retiring.

The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.

A fully-managed platform for Ray, from the creators of Ray. The best way to develop, scale, and deploy AI apps on Ray. Accelerate development and deployment for any AI application, at any scale. Everything you love about Ray, minus the DevOps load. Let us run Ray for you, hosted on cloud infrastructure fully managed by us so that you can focus on what you do best, and ship great products. Anyscale automatically scales your infrastructure and clusters up or down to meet the dynamic demands of your workloads. Whether it’s executing a production workflow on a schedule (for eg. retraining and updating a model with fresh data every week) or running a highly scalable and low-latency production service (for eg. serving a machine learning model), Anyscale makes it easy to create, deploy, and monitor machine learning workflows in production. Anyscale will automatically create a cluster, run the job on it, and monitor the job until it succeeds.

Open Agent Studio is not just another co-pilot it's a no-code co-pilot builder that enables solutions that are impossible in all other RPA tools today. We believe these other tools will copy this idea, so our customers have a head start over the next few months to target markets previously untouched by AI with their deep industry insight. Subscribers have access to a free 4-week course, which teaches how to evaluate product ideas and launch a custom agent with an enterprise-grade white label. Easily build agents by simply recording your keyboard and mouse actions, including scraping data and detecting the start node. The agent recorder makes it as easy as possible to build generalized agents as quickly as you can teach how to do it. Record once, then share across your organization to scale up future-proof agents.

Everything you need to transform your ideas into AI apps in minutes. Anyone can create next-generation AI-powered apps in 10 minutes, from professional developers to business users, using our no-code/low-code platform. Seamlessly integrate APIs like ChatGPT, Dalle-2, and Codex from Open AI, and even use custom ML models. Build custom admin client and CRUD functionalities to effectively manage sales, inventory, contracts, and more. Create dynamic dashboards that transform data into actionable insights and fuel innovation for your business. Easily create a chatbot to improve customer support and create a true omnichannel experience with multiple integrations. An all-in-one cloud platform combines low-code/no-code tools with edge technologies to make your web application scalable, secure, and easy to manage. Transform your software development process with our no-code/low-code platform, perfect for both business users and professional developers alike.

Apply advanced coding and language models to a variety of use cases. Leverage large-scale, generative AI models with deep understandings of language and code to enable new reasoning and comprehension capabilities for building cutting-edge applications. Apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data. Detect and mitigate harmful use with built-in responsible AI and access enterprise-grade Azure security. Gain access to generative models that have been pretrained with trillions of words. Apply them to new scenarios including language, code, reasoning, inferencing, and comprehension. Customize generative models with labeled data for your specific scenario using a simple REST API. Fine-tune your model's hyperparameters to increase accuracy of outputs. Use the few-shot learning capability to provide the API with examples and achieve more relevant results.

NVIDIA Base Command™ Platform is a software service for enterprise-class AI training that enables businesses and their data scientists to accelerate AI development. Part of the NVIDIA DGX™ platform, Base Command Platform provides centralized, hybrid control of AI training projects. It works with NVIDIA DGX Cloud and NVIDIA DGX SuperPOD. Base Command Platform, in combination with NVIDIA-accelerated AI infrastructure, provides a cloud-hosted solution for AI development, so users can avoid the overhead and pitfalls of deploying and running a do-it-yourself platform. Base Command Platform efficiently configures and manages AI workloads, delivers integrated dataset management, and executes them on right-sized resources ranging from a single GPU to large-scale, multi-node clusters in the cloud or on-premises. Because NVIDIA’s own engineers and researchers rely on it every day, the platform receives continuous software enhancements.

Build, deploy, and scale end-to-end AI applications in the cloud. Griptape gives developers everything they need to build, deploy, and scale retrieval-driven AI-powered applications, from the development framework to the execution runtime. 🎢 Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. ☁️ Griptape Cloud is a one-stop shop to hosting your AI structures, whether they are built with Griptape, another framework, or call directly to the LLMs themselves. Simply point to your GitHub repository to get started. 🔥 Run your hosted code by hitting a basic API layer from wherever you need, offloading the expensive tasks of AI development to the cloud. 📈 Automatically scale workloads to fit your needs.

A new way to automatically train, evaluate and deploy state-of-the-art Machine Learning models. AutoTrain is an automatic way to train and deploy state-of-the-art Machine Learning models, seamlessly integrated with the Hugging Face ecosystem. Your training data stays on our server, and is private to your account. All data transfers are protected with encryption. Available today: text classification, text scoring, entity recognition, summarization, question answering, translation and tabular. CSV, TSV or JSON files, hosted anywhere. We delete your training data after training is done. Hugging Face also hosts an AI content detection tool.

Build powerful enterprise-grade AI applications in minutes, without any coding on the Katonic generative AI platform. Boost the productivity of your employees and take your customer experience to the next level with the power of generative AI. Build AI-powered chatbots and digital assistants that can access and process information from documents or dynamic content refreshed automatically through pre-built connectors. Identify and extract essential information from unstructured text or surface insights in specialized domain areas without having to create any templates. Transform dense text into a personalized executive overview, capturing key points from financial reports, meeting transcriptions, and more. Build recommendation systems that can suggest products, services, or content to users based on their past behavior and preferences.

Launch production-ready apps with the LMOps stack for monitoring, model management, and more. Replace your OpenAI or other provider APIs with the Portkey endpoint. Manage prompts, engines, parameters, and versions in Portkey. Switch, test, and upgrade models with confidence! View your app performance & user level aggregate metics to optimise usage and API costs Keep your user data secure from attacks and inadvertent exposure. Get proactive alerts when things go bad. A/B test your models in the real world and deploy the best performers. We built apps on top of LLM APIs for the past 2 and a half years and realised that while building a PoC took a weekend, taking it to production & managing it was a pain! We're building Portkey to help you succeed in deploying large language models APIs in your applications. Regardless of you trying Portkey, we're always happy to help!

The software layer of the NVIDIA AI platform, NVIDIA AI Enterprise accelerates the data science pipeline and streamlines development and deployment of production AI including generative AI, computer vision, speech AI and more. With over 50 frameworks, pretrained models and development tools, NVIDIA AI Enterprise is designed to accelerate enterprises to the leading edge of AI, while also simplifying AI to make it accessible to every enterprise. The adoption of artificial intelligence and machine learning has gone mainstream, and is core to nearly every company’s competitive strategy. One of the toughest challenges for enterprises is the struggle with siloed infrastructure across the cloud and on-premises data centers. AI requires their environments to be managed as a common platform, instead of islands of compute.

Ever Efficient AI offers a powerful yet accessible AI automation platform helping businesses maximize efficiency - without hiring a full-time AI engineer on the team. Their flexible subscription plans connect you with AI experts who build customized data solutions tailored to your specific workflows and industry. No complex modeling or coding is required on your end. The collaborative process lets those with domain expertise guide tool development. EverEfficientAI's team manages the technical complexity behind the scenes, converting your datasets and processes into optimized AI systems. Bi-weekly agile sprints adapt the tools over time while providing transparency. With a focus on usability and rapid integration, EverEfficientAI makes advanced AI easily actionable by any organization. The future of work is here - are you ready to let your data work smarter for you?

Import data in any format, including text or images from any source like documents, cloud or APIs and launch a ChatGPT-like interface based on your preferred large language model like GPT-4, FLAN and GPT-NeoX and answer user queries based on the imported data. A comprehensive list of sample questions across various departments in different industries that can be asked to an LLM connected to a company’s private data source through ZBrain. Seamless integration of ZBrain as a prompt-response service into your existing tools and products. Enhance your deployment experience with secure options like ZBrain Cloud or the flexibility to self-host on a private infrastructure. ZBrain Flow empowers you to create business logic without writing any code. The intuitive flow interface allows you to connect multiple large language models, prompt templates, and image and video models with extraction and parsing tools to build powerful and intelligent applications.

Build better AI with multiple models. AI models are a new kind of building block. Sieve is the easiest way to use these building blocks to understand audio, generate video, and much more at scale. State-of-the-art models in just a few lines of code, and a curated set of production-ready apps for many use cases. Import your favorite models like Python packages. Visualize results with auto-generated interfaces built for your entire team. Deploy custom code with ease. Define your environment compute in code, and deploy with a single command. Fast, scalable infrastructure without the hassle. We built Sieve to automatically scale as your traffic increases with zero extra configuration. Package models with a simple Python decorator and deploy them instantly. A full-featured observability stack so you have full visibility of what’s happening under the hood. Pay only for what you use, by the second. Gain full control over your costs.

Amazon SageMaker Clarify provides machine learning (ML) developers with purpose-built tools to gain greater insights into their ML training data and models. SageMaker Clarify detects and measures potential bias using a variety of metrics so that ML developers can address potential bias and explain model predictions. SageMaker Clarify can detect potential bias during data preparation, after model training, and in your deployed model. For instance, you can check for bias related to age in your dataset or in your trained model and receive a detailed report that quantifies different types of potential bias. SageMaker Clarify also includes feature importance scores that help you explain how your model makes predictions and produces explainability reports in bulk or real time through online explainability. You can use these reports to support customer or internal presentations or to identify potential issues with your model.

DeepAI was founded with the belief that a future built with artificial intelligence allows for the sustainable accommodation of all humanity at a high standard of living. DeepAI develops the technologies to help make this future a reality, while moving towards the ultimate goal of making AGI directly accessible to the individual. Products build with AI. whether you need to hire top data science talent or quickly train your own image recognition models, DeepAI has your business covered so you can build with AI. Publish your datasets and research side-by-side or write a guide to go along with your paper to increase the reproducibility of your work. Follow the latest AI research, learn about data science, and build with AI. Contribute to one of the largest AI communities in the World, write guides to share concepts, techniques, and codes with the community. DeepAI's mission is to accelerate the world's transition to artificial intelligence through offering an A.I. agent.

Nebula allows you to deploy and scale your AI projects quickly, easily and cost-efficiently2 on highly robust, on-demand GPU infrastructure. Train and infer your models securely and easily on the Nebula cloud powered by the latest on-demand Nvidia GPUs and create and manage your containerized workloads through Nebula’s user-friendly orchestration layer. Access Nebula’s MLOps and low-code/no-code engines to build and deploy AI use cases for business teams and to deploy AI-powered applications swiftly and seamlessly with little to no coding. Choose between the Nebula containerized AI cloud, your on-prem environment, or any cloud of your choice. Build and scale AI-enabled business use-cases within a matter of weeks, not months, with the Nebula Unify platform.

AI-FLOW is an innovative open-source platform designed to simplify how creators and innovators harness the power of artificial intelligence. With its user-friendly drag-and-drop interface, AI-FLOW enables you to effortlessly connect and combine leading AI models, crafting custom AI tools tailored to your unique needs. Key Features: 1. Diverse AI Model Integration: Gain access to a suite of top-tier AI models, including GPT-4, DALL-E 3, Stable Diffusion, Mistral, LLaMA, and more—all in one convenient location. 2. Drag-and-Drop Interface: Build complex AI workflows with ease—no coding required—thanks to our intuitive design. 3. Custom AI Tool Creation: Design bespoke AI solutions quickly, from image generation to language processing. 4. Local Data Storage: Maintain full control over your data with options for local storage and the ability to export as JSON files.

Accelerate your GenAI adoption journey. Configure GenAI assistants powered by your organization’s data with just a few clicks. Roll out GenAI assistants with guardrails for security, trust, compliance, and cost management. Discover how your teams are leveraging AI assistants with data-driven insights. Uncover opportunities to maximize value. Power your GenAI apps with top Large Language Models (LLMs). Seamlessly connect with top GenAI model providers such as Google, Amazon, Mistral, and Azure. Employ safe GenAI on your marcom site that answers press, analysts, and customer questions. Quickly create and deploy GenAI assistants on web portals that offer swift, precise, and policy-controlled responses to questions, using the information in your public content. Leverage safe GenAI to offer swift, correct answers to legal policy questions from your employees.

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).

Whether prompt engineering, fine-tuning, or training, we are ready to meet your business demands. Easily integrate your new model into your production application using the Together Inference API. With the fastest performance available and elastic scaling, Together AI is built to scale with your needs as you grow. Inspect how models are trained and what data is used to increase accuracy and minimize risks. You own the model you fine-tune, not your cloud provider. Change providers for whatever reason, including price changes. Maintain complete data privacy by storing data locally or in our secure cloud.

Options for every business to train deep learning and machine learning models cost-effectively. AI accelerators for every use case, from low-cost inference to high-performance training. Simple to get started with a range of services for development and deployment. Tensor Processing Units (TPUs) are custom-built ASIC to train and execute deep neural networks. Train and run more powerful and accurate models cost-effectively with faster speed and scale. A range of NVIDIA GPUs to help with cost-effective inference or scale-up or scale-out training. Leverage RAPID and Spark with GPUs to execute deep learning. Run GPU workloads on Google Cloud where you have access to industry-leading storage, networking, and data analytics technologies. Access CPU platforms when you start a VM instance on Compute Engine. Compute Engine offers a range of both Intel and AMD processors for your VMs.

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.

Context Data is an enterprise data infrastructure built to accelerate the development of data pipelines for Generative AI applications. The platform automates the process of setting up internal data processing and transformation flows using an easy-to-use connectivity framework where developers and enterprises can quickly connect to all of their internal data sources, embedding models and vector database targets without having to set up expensive infrastructure or engineers. The platform also allows developers to schedule recurring data flows for refreshed and up-to-date data.

The world’s first AI supercomputer in the cloud, NVIDIA DGX™ Cloud is an AI-training-as-a-service solution with integrated DGX infrastructure designed for the unique demands of enterprise AI. Access NVIDIA DGX Cloud to experience a combined software and infrastructure solution for AI training that includes a full-stack AI developer suite, leadership-class infrastructure, and concierge support, allowing businesses to get started immediately with predictable, all-in-one pricing.

Exspanse streamlines the path from development to business value. Build, train & rapidly deploy powerful machine learning models from a single user interface that can scale with your business. Train, tune, and prototype models from the Exspanse Notebook with the help of high-powered GPUs, CPUs & our AI code assistant. Think beyond training & modeling when you can use the rapid deploy feature to deploy models as an API right from an Exspanse Notebook. Clone and publish unique AI projects to DeepSpace AI marketplace to advance the AI community. Power, efficiency, and collaboration in one comprehensive platform. Unleash your full potential as a solo data scientist while maximizing your impact. Manage and accelerate your AI development process through our integrated platform. Turn your innovative ideas into working models quickly and effectively. Seamlessly transition from building to deploying AI solutions, without the need for extensive DevOps knowledge.

MarkovML is a no-code AI platform that helps enterprises do faster data analysis, launch auto-ML model apps and streamline their ML workflows.

Amazon SageMaker Autopilot eliminates the heavy lifting of building ML models. You simply provide a tabular dataset and select the target column to predict, and SageMaker Autopilot will automatically explore different solutions to find the best model. You then can directly deploy the model to production with just one click or iterate on the recommended solutions to further improve the model quality. You can use Amazon SageMaker Autopilot even when you have missing data. SageMaker Autopilot automatically fills in the missing data, provides statistical insights about columns in your dataset, and automatically extracts information from non-numeric columns, such as date and time information from timestamps.

Explore the full spectrum of AI APIs tailored for image, video, audio, and LLM applications. Novita AI is designed to elevate your AI-driven business at the pace of technology, offering model hosting and training solutions. Access 100+ APIs, including AI image generation & editing with 10,000+ models, and training APIs for custom models. Enjoy the cheapest pay-as-you-go pricing, freeing you from GPU maintenance hassles while building your own products. generate images in 2s from 10000+ models with a single click. Updated models with civitai and hugging face. Provide a wide variety of products based on Novita API. You can empower your own products with a quick Novita API integration.

No-code, in minutes—inject AI prompts into your own website, your data, your workflow. We support the latest generative models and are always adding more. Use GPT4, ChatGPT, GPT3, DALL-E 2, Stable Diffusion, and more! Train AI to use your PDF, website, or document as context for its responses. Customize Pickaxes and embed them on your website, bring them into Google sheets, or access through our API

Create your own AI that takes daily, repetitive tasks off your shoulders so your team can reach the next level of productivity. Levity is a no-code platform that allows you to train AI models on images, documents, and text data. You can rebuild manual workflows and connect everything to your existing systems without writing a single line of code. Levity enables you to upload your own labeled data to train custom models that fit your business like a glove. If you want to get started even quicker, it also provides countless templates for frequent use-cases, such as sentiment analysis, customer support or document classification. Got a repetitive task that requires more than rule-based automation that standard RPA tools offer? Try Levity out for free and see within minutes what cognitive automation is capable of.

PlugBear is a no/low-code solution for connecting communication channels with LLM (Large Language Model) applications. For example, it enables the creation of a Slack bot from an LLM app in just a few clicks. When a trigger event occurs in the integrated channels, PlugBear receives this event. It then transforms the messages to be suitable for LLM applications and initiates generation. Once the apps complete the generation, PlugBear transforms the results to be compatible with each channel. This process allows users of different channels to interact seamlessly with LLM applications.

Aicado is your go-to platform for no-code AI solutions. Select your preferred AI model, customize it to fit your needs, and seamlessly integrate it into your business. We’ve got the AI models to match. Test them out, explore the possibilities, and integrate them into your business, all for free. You can create limitless integrations with Aicado. Every model can be integrable and every integration can have different purposes and can connect with different domains. Easily swap faces in videos with high accuracy. Ideal for creating fun and creative edits. Simply speak or upload a voice recording. Simply type a few words describing the scene or object you have in mind, and the AI will take care of the rest, presenting you with a visual representation. Simply enter the text, and the AI will handle the rest, providing you with an audio version to listen to. You can even turn your blog into a podcast.

OctoAI is world-class compute infrastructure for tuning and running models that wow your users. Fast, efficient model endpoints and the freedom to run any model. Leverage OctoAI’s accelerated models or bring your own from anywhere. Create ergonomic model endpoints in minutes, with only a few lines of code. Customize your model to fit any use case that serves your users. Go from zero to millions of users, never worrying about hardware, speed, or cost overruns. Tap into our curated list of best-in-class open-source foundation models that we’ve made faster and cheaper to run using our deep experience in machine learning compilation, acceleration techniques, and proprietary model-hardware performance technology. OctoAI automatically selects the optimal hardware target, applies the latest optimization technologies, and always keeps your running models in an optimal manner.

Establish a powerful AI blueprint to make marketing effortlessly intelligent, agile and scalable. Orchestrate data-driven actions across your marketing efforts with the world’s only hyper-contextual AI infrastructure. Discover flexible AI models trained on diverse datasets across multiple siloes that cater to the broadest use cases. Trained on 3B+ cross-industry data points, the infrastructure houses models that need no training and churns efficiency out-of-the-box. Leverage our proven algorithms or build customized rule-based strategies with our easy-to-use UI. Enhance your campaigns across platforms with the best strategies tailor-made based on dozens of parameters. Leverage self-evolving AI models that inform and interact with one another to perform at the highest level of efficiencies. Access dedicated artificial intelligence systems that constantly learn, communicate and optimize your marketing efficiency.

Google AI Studio is a free, web-based tool that allows individuals and small teams to develop apps and chatbots using natural-language prompting. It also allows users to create prompts and API keys for app development. Google AI Studio is a development environment that allows users to discover Gemini Pro APIs, create prompts, and fine-tune Gemini. It also offers a generous free quota, allowing 60 requests per minute. Google also has a Generative AI Studio, which is a product on Vertex AI. It includes models of different types, allowing users to generate content that may be text, image, or audio.

Arches AI provides tools to craft chatbots, train custom models, and generate AI-based media, all tailored to your unique needs. Deploy LLMs, stable diffusion models, and more with ease. An large language model (LLM) agent is a type of artificial intelligence that uses deep learning techniques and large data sets to understand, summarize, generate and predict new content. Arches AI works by turning your documents into what are called 'word embeddings'. These embeddings allow you to search by semantic meaning instead of by the exact language. This is incredibly useful when trying to understand unstructed text information, such as textbooks, documentation, and others. With strict security rules in place, your information is safe from hackers and other bad actors. All documents can be deleted through on the 'Files' page.