Best AI Development Platforms of 2024

InteraxAI, a No-Code White Label platform, offers monetizable or embeddable AI Widgets. Our wide selection of AI widgets can be easily integrated into any website, blog, or page. InteraxAI's AI widgets can improve your user experience and increase engagement. A chatbot can provide quick and accurate answers to users, while an image generator generates personalized images based upon user input. These widgets can be customized to meet your specific needs, making them easy to integrate into your digital platform. InteraxAI's AI widgets will allow you to create an engaging and interactive user experience that will keep your audience coming back.

Confident AI is used by companies of all sizes to prove that their LLM is worth being in production. On a single, central platform, you can evaluate your LLM workflow. Deploy LLM with confidence to ensure substantial benefits, and address any weaknesses within your LLM implementation. Provide ground truths to serve as benchmarks for evaluating your LLM stack. Ensure alignment with predefined output expectation, while identifying areas that need immediate refinement and adjustments. Define ground facts to ensure that your LLM behaves as expected. Advanced diff tracking for iterating towards the optimal LLM stack. We guide you through the process of selecting the right knowledge bases, altering the prompt templates and selecting the best configurations for your use case. Comprehensive analytics to identify focus areas. Use out-of-the box observability to identify use cases that will bring the greatest ROI for your organization. Use metric insights to reduce LLM costs and delays over time.

Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context. Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity. Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.

Build complex backend agents using multiple steps with an action-based orchestration. All LLMs are supported. Build a fully customized UI without writing a line of code for your agent, and serve it on your own domain. Track your agent's every move, literally, to cope with the nondeterministic nature LLMs. Access control can be built at a finer grain for your application, data and agent. A fine-tuned, specialized model to accelerate software development. Automatically handle concurrency and rate limiting.

The complete LLM Platform with a superior developer's experience and robust infrastructure. Build, deploy and manage trusted, hyper-personalized and streamlined generative AI applications. Langbase is a new AI tool and inference engine for any LLM. It's an OpenAI alternative that's open-source. The most "developer friendly" LLM platform that can ship hyper-personalized AI applications in seconds.

Monitor your LLMs during production and discover and correct hallucinations and errors related to accuracy and quality with LLM outputs. Check your outputs to see if they contain hallucinations, misinformation or other issues. Configurable for any LLM application. Segment data to analyze in depth your cost, accuracy and response times. To debug generation, you can search, sort and filter your inference calls and trace your queries, retrievals and responses. Explore your conversations to learn what your users feel and what they are saying. You can also find out which conversations were unsuccessful. Compare your performance metrics between different models and prompts. Our insights will guide you to the best model for each use case. Our evaluators analyze and improve the outputs by using your data, configurations and feedback.

Use Prompt mixer to create chains and prompts. Combine your chains with data sets and improve using AI. Test scenarios can be developed to evaluate various prompt and model combinations, determining the best combination for different use cases. Prompt mixer can be used for a variety of tasks, including creating content and conducting R&D. Prompt mixer can boost your productivity and streamline your workflow. Use Prompt mixer to create, evaluate, and deploy content models for different applications, such as emails and blog posts. Use Prompt mixer to extract or combine data in a secure manner, and monitor it easily after deployment.

CORE is a high performance computing platform that can be used for a variety of applications. CORE is easy to use with its point-and-click interface. You can run the most complex applications. CORE provides unlimited computing power on-demand. Cloud computing is available without the high-cost. CORE for teams offers powerful tools that allow you to sort, filter, create, connect, and create users, machines, networks, and machines. With an intuitive and simple GUI, it's easier than ever to see all of your infrastructure from one place. It is easy to add Active Directory integration or VPN through our simple but powerful management console. It's now possible to do things that used to take days, or even weeks. Even complex network configurations can be managed with just a few clicks.

RZT aiOS provides all the benefits of a unified AI platform, and more. It's not just a platform, it's an Operating System that connects, manages, and unifies all your AI initiatives. AI developers can now do what used to take months in days thanks to aiOS process management which dramatically increases their productivity. This Operating System provides an intuitive environment for AI development. It allows you to visually build models, explore data and create processing pipelines. You can also run experiments and view analytics. It's easy to do all of this without any advanced software engineering skills.

PredictSense is an AI-powered machine learning platform that uses AutoML to power its end-to-end Machine Learning platform. Accelerating machine intelligence will fuel the technological revolution of tomorrow. AI is key to unlocking the value of enterprise data investments. PredictSense allows businesses to quickly create AI-driven advanced analytical solutions that can help them monetize their technology investments and critical data infrastructure. Data science and business teams can quickly develop and deploy robust technology solutions at scale. Integrate AI into your existing product ecosystem and quickly track GTM for new AI solution. AutoML's complex ML models allow you to save significant time, money and effort.

IBM Watson Machine Learning, a full-service IBM Cloud offering, makes it easy for data scientists and developers to work together to integrate predictive capabilities into their applications. The Machine Learning service provides a set REST APIs that can be called from any programming language. This allows you to create applications that make better decisions, solve difficult problems, and improve user outcomes. Machine learning models management (continuous-learning system) and deployment (online batch, streaming, or online) are available. You can choose from any of the widely supported machine-learning frameworks: TensorFlow and Keras, Caffe or PyTorch. Spark MLlib, scikit Learn, xgboost, SPSS, Spark MLlib, Keras, Caffe and Keras. To manage your artifacts, you can use the Python client and command-line interface. The Watson Machine Learning REST API allows you to extend your application with artificial intelligence.

A platform that offers a variety of machine learning algorithms to meet data mining and analysis needs. Machine Learning Platform for AI offers end-to-end machine-learning services, including data processing and feature engineering, model prediction, model training, model evaluation, and model prediction. Machine learning platform for AI integrates all these services to make AI easier than ever. Machine Learning Platform for AI offers a visual web interface that allows you to create experiments by dragging components onto the canvas. Machine learning modeling is a step-by-step process that improves efficiency and reduces costs when creating experiments. Machine Learning Platform for AI offers more than 100 algorithm components. These include text analysis, finance, classification, clustering and time series.

Your ML model can be served in minutes in any cloud. Unified model packaging format that allows online and offline delivery on any platform. Our micro-batching technology allows for 100x more throughput than a regular flask-based server model server. High-quality prediction services that can speak the DevOps language, and seamlessly integrate with common infrastructure tools. Unified format for deployment. High-performance model serving. Best practices in DevOps are incorporated. The service uses the TensorFlow framework and the BERT model to predict the sentiment of movie reviews. DevOps-free BentoML workflow. This includes deployment automation, prediction service registry, and endpoint monitoring. All this is done automatically for your team. This is a solid foundation for serious ML workloads in production. Keep your team's models, deployments and changes visible. You can also control access via SSO and RBAC, client authentication and auditing logs.

Ray's creators have created a fully-managed platform. The best way to create, scale, deploy, and maintain AI apps on Ray. You can accelerate development and deployment of any AI app, at any scale. Ray has everything you love, but without the DevOps burden. Let us manage Ray for you. Ray is hosted on our cloud infrastructure. This allows you to focus on what you do best: creating great products. Anyscale automatically scales your infrastructure to meet the dynamic demands from your workloads. It doesn't matter if you need to execute a production workflow according to a schedule (e.g. Retraining and updating a model with new data every week or running a highly scalable, low-latency production service (for example. Anyscale makes it easy for machine learning models to be served in production. Anyscale will automatically create a job cluster and run it until it succeeds.

One development environment for all data science workflows. Natively analyze your data without the need to switch between services. Data to training at scale Models can be built and trained 5X faster than traditional notebooks. Scale up model development using simple connectivity to Vertex AI Services. Access to data is simplified and machine learning is made easier with BigQuery Dataproc, Spark and Vertex AI integration. Vertex AI training allows you to experiment and prototype at scale. Vertex AI Workbench allows you to manage your training and deployment workflows for Vertex AI all from one location. Fully managed, scalable and enterprise-ready, Jupyter-based, fully managed, scalable, and managed compute infrastructure with security controls. Easy connections to Google Cloud's Big Data Solutions allow you to explore data and train ML models.

You can use advanced language models and coding to solve a variety of problems. To build cutting-edge applications, leverage large-scale, generative AI models that have deep understandings of code and language to allow for new reasoning and comprehension. These coding and language models can be applied to a variety use cases, including writing assistance, code generation, reasoning over data, and code generation. Access enterprise-grade Azure security and detect and mitigate harmful use. Access generative models that have been pretrained with trillions upon trillions of words. You can use them to create new scenarios, including code, reasoning, inferencing and comprehension. A simple REST API allows you to customize generative models with labeled information for your particular scenario. To improve the accuracy of your outputs, fine-tune the hyperparameters of your model. You can use the API's few-shot learning capability for more relevant results and to provide examples.

Hubble is an easy-to-use platform that allows you to create AI-enabled apps without the need for any programming. Hubble allows you to create intuitive web-apps powered with cutting-edge AI models like GPT-3. Our drag-and-drop editor makes it easy to create interactive web apps. You can use the most advanced AI models for your app without worrying too much about API keys and integrations. Hubble manages all your app deployments and hosting. To maximize the power and potential of AI, connect your data sources (via embeddings). See the Hubble projects of our community members.

Create, evaluate, deploy, refine, and improve custom natural language processing models. Your team can automate workflows without the need for an AI expert team or expensive infrastructure. Metatext makes it easy to create customized AI/NLP models without any prior knowledge of ML, data science or MLOps. Automate complex workflows in just a few steps and rely on intuitive APIs and UIs to handle the heavy lifting. Our APIs will handle all the heavy lifting. Your custom AI will be trained and deployed automatically. A set of deep learning algorithms will help you get the most out of your custom AI. You can test it in a Playground. Integrate our APIs into your existing systems, Google Spreadsheets, or other tools. Choose the AI engine that suits your needs. Each AI engine offers a variety of tools that can be used to create datasets and fine tune models. Upload text data in different file formats and use our AI-assisted data labeling tool to annotate labels.

Aigur makes it easy to create multi-user generative AI applications that manage data pipelines, user plans, security, and other aspects. We can help you manage and monitor your users' usage plans. You can grant and regenerate credits, limit usage over the time, use partial credits, and much more. A visual editor allows you to define your backend logic. It is supported by code that can be edited. Our pre-defined pipelines will reduce development time so you can focus on the logic of your application. Aigur makes it simple to develop your front end. Aigur's prebuilt component library for web and mobile AI allows you to authenticate users and handle job updates based upon web sockets. This will cut down development time and help you reduce your development time. You will receive a simple API that allows you to manage the user flows. You don't have to replace your entire infrastructure. Just call a few functions, and you're done. For more information, see our opensource library's documentation.

Discuro is an all-in-one platform that allows developers to quickly build, test and consume complex AI workflows. Our UI makes it easy to define your workflow. When you are ready to execute, just make one API call to Discuro with any inputs and any meta-data. You can use an Orchestrator to feed the generated data back into GPT-3. Integrate with OpenAI to extract the data you need quickly. In minutes, create and consume your own flows. Everything you need to integrate OpenAI at scale has been built by us so that you can concentrate on the product. Integrating with OpenAI is not easy. We'll help you extract the data you need by collecting input/output descriptions. You can easily chain completions together to create large data sets. You can use our iterative input feature for GPT-3 output to feed back in and have us make successive calls to expand your data set. Easy to build and test complex, self-transforming AI workflows and datasets.

Voiceflow allows teams to create, test, and ship conversational assistants together faster and at a larger scale. Chat and voice interfaces can be created for any digital product. You can combine conversation design, product development, product copywriting, legal, as well as conversation design and development. All of this is possible with one platform. Eliminate content chaos and functional silos. Voiceflow allows teams to collaborate in an interactive workspace that consolidates all assistant information, conversation flows and intents. It also stores response content, API calls, and other data. 1-click prototyping makes it easy to avoid delays and large dev efforts. Designers can quickly create high-fidelity, shareable prototypes in minutes to help improve the user experience. Voiceflow is the best tool to speed up and scale app delivery. You can speed up your workflow with time-savers such as drag-and-drop design and rapid prototyping. Real-time feedback is also available.

Create powerful AI models that you can share. Designed to create and share. English is the best programming language for 2023. Discover the benefits of Invicta AI. Community, excellence and beyond. Our platform offers an efficient and user-friendly process for creating, utilizing, and sharing AI models. We eliminate the need to have coding knowledge by using a prompt-driven method that simplifies everything. No coding knowledge is required. Create AI models using English. We use a prompt-based method to help you create models quickly and easily. We give you access to Invicta AI’s internal tools that we used when developing our models. We only use the best engines in the industry, such as Open AI GPT-3.5 Turbo or GPT-4, to ensure that your models are of high quality. Learn AI and prompt engineering from other community members' models and collaborate with them on projects.

Best-in-class SDKs and APIs allow you to create images, edit them and fine-tune models. You can also retrieve text context, retrieve image context, and more. A single API that can handle image, text, videos and more. No more switching APIs. Play with our AI models directly in your browser. Integrate them into your app. Stable Diffusion, among other models, can be used to generate images from text descriptions. Our Dreambooth fine tuning dashboard and API allows you to train your own models for people, pets, objects and styles. Upload text documents to generate embeddings and retrieve context on the fly.

Metal is a fully-managed, production-ready ML retrieval platform. Metal embeddings can help you find meaning in unstructured data. Metal is a managed services that allows you build AI products without having to worry about managing infrastructure. Integrations with OpenAI and CLIP. Easy processing & chunking of your documents. Profit from our system in production. MetalRetriever is easily pluggable. Simple /search endpoint to run ANN queries. Get started for free. Metal API Keys are required to use our API and SDKs. Authenticate by populating headers with your API Key. Learn how to integrate Metal into your application using our Typescript SDK. You can use this library in JavaScript as well, even though we love TypeScript. Fine-tune spp programmatically. Indexed vector data of your embeddings. Resources that are specific to your ML use case.

Empower your product with AI. Our platform provides a wide range of pre-built models, as well as a user-friendly interface with no-code for custom models. Integrate AI seamlessly into applications to gain a competitive advantage. Sentiment analysis is also known as opinion-mining. It is the process of extracting and categorizing subjective information from text, such as reviews, comments on social media, or customer feedback. In recent years, this technology has grown in importance as more companies use it to understand the opinions and needs of their customers and make data-driven decision that can improve products, services, or marketing strategies. Sentiment analysis helps companies to understand customer feedback, and make data-driven decision that can improve their products, service, and marketing strategies.