Best AI Development Platforms in the USA

All the steps involved in building machine learning algorithms and predicting results, all in one click. Data Dialog allows you to easily shape your data without having to wrangle your files. Your prediction reports can be shared with your team members or made public. Let anyone make predictions on your model. Our low-code API allows you to integrate dynamic ML predictions directly into your app. Real-time prediction of willingness to pay, score leads, and many other things. AI gives you access to the most advanced algorithms in the world, without compromising on performance. Forecast revenue, optimize supply chain, personalize your marketing. Now you can see what the next steps are. In minutes, you can add a CSV file or integrate with your favorite data sources. Select your prediction column from the dropdown and we'll automatically build the AI. Visualize the top drivers, predicted results, and simulate "what-if?" scenarios.

The hybrid front-end seamlessly switches between Gluon eager symbolic mode and Gluon imperative mode, providing flexibility and speed. The dual parameter server and Horovod support enable scaleable distributed training and performance optimization for research and production. Deep integration into Python, support for Scala and Julia, Clojure and Java, C++ and R. MXNet is supported by a wide range of tools and libraries that allow for use-cases in NLP, computer vision, time series, and other areas. Apache MXNet is an Apache Software Foundation (ASF) initiative currently incubating. It is sponsored by the Apache Incubator. All accepted projects must be incubated until further review determines that infrastructure, communications, decision-making, and decision-making processes have stabilized in a way consistent with other successful ASF projects. Join the MXNet scientific network to share, learn, and receive answers to your questions.

Toloka AI was founded in 2014 after years spent research and experimentation. It is an open platform for collecting data and annotating it. There are over 20 000+ active monthly performers in over 100+ countries. They speak 40+ languages and generate approximately 80 million data annotations each week. Toloka is used by R&D, banking and autonomous vehicles as well as other organizations to generate machine-learning data at scale. It also harnesses the wisdom of the crowd from all over the globe. Gartner ranked Toloka as one of the most notable data labeling solutions in the market in its Hype Cycle for Data Science & ML report.

IBM Watson OpenScale provides visibility into the creation and use of AI-powered applications in an enterprise-scale environment. It also allows businesses to see how ROI is delivered. IBM Watson OpenScale provides visibility to companies about how AI is created, used, and how ROI is delivered at business level. You can create and deploy trusted AI using the IDE you prefer, and provide data insights to your business and support team about how AI affects business results. Capture payload data, deployment output, and alerts to monitor the health of business applications. You can also access an open data warehouse for custom reporting and access to operations dashboards. Based on business-determined fairness attributes, automatically detects when artificial Intelligence systems produce incorrect results at runtime. Smart recommendations of new data to improve model training can reduce bias.

Zinia's artificial intelligence platform connects key business decision makers and AI. Now you can build trusted AI models without relying on technical teams. This allows you to align AI with business objectives. This breakthrough technology is simplified to make it easier to build AI backwards for your business. Reduces time to implement AI from months to days, increasing revenue by 15-20%. Zinia optimizes business results with human-centered AI. Most AI development in organizations is not aligned with business KPIs. Zinia was created with the goal of democratizing AI for you. Zinia puts cutting-edge ML technology and AI Technology in your hands. Zinia was built by a team of AI experts with over 50 years experience. It is your trusted platform that simplifies complex technology and provides the fastest route from data to business decisions.

Our platform allows you to create AI products, train, fine-tune, and deploy models on the cloud. You don't have to worry about scaling, infrastructure, cost management, or other technical issues. Prebuilt, fully customizable modular components make it easy to train, fine tune, and deploy models. The science, not the engineering, should be your focus. Lightning components organize code to run on the cloud and manage its own infrastructure, cloud cost, and other details. 50+ optimizations to lower cloud cost and deliver AI in weeks, not months. Enterprise-grade control combined with consumer-level simplicity allows you to optimize performance, reduce costs, and take on less risk. Get more than a demo. In days, not months, you can launch your next GPT startup, diffusion startup or cloud SaaSML service.

There are options for every business to train deep and machine learning models efficiently. There are AI accelerators that can be used for any purpose, from low-cost inference to high performance training. It is easy to get started with a variety of services for development or deployment. Tensor Processing Units are ASICs that are custom-built to train and execute deep neural network. You can train and run more powerful, accurate models at a lower cost and with greater speed and scale. NVIDIA GPUs are available to assist with cost-effective inference and scale-up/scale-out training. Deep learning can be achieved by leveraging RAPID and Spark with GPUs. You can run GPU workloads on Google Cloud, which offers industry-leading storage, networking and data analytics technologies. Compute Engine allows you to access CPU platforms when you create a VM instance. Compute Engine provides a variety of Intel and AMD processors to support your VMs.

AI-driven decision making promises a paradigm shift in business. It will replace the traditional practice-based operating model. 4Paradigm can help your business explore new business models that are powered by AI-driven decisionmaking, break down bottlenecks for more efficient growth and enable qualitative change in business operations. This will allow you to differentiate yourself from your competitors. 4Paradigm provides a comprehensive strategy, a standardized but customizable AI adoption method, and innovative products that will enable you to adopt AI at scale, increase transformation efficiency, and unleash rapid innovation. The key to success in the new economic system is unique value creation for customers. 4Paradigm enables high precision matching, real time response, and granular demand prediction to help enterprises create a customer-centric experience. It also makes AI accessible to everyone by making AI accessible.

Viso Suite is the only platform that can handle computer vision from all sides. It allows teams to quickly train, create, deploy, and manage computer vision applications without having to write code. Viso Suite enables you to create industry-leading computer vision systems and real-time deep learning systems using low-code and automated software infrastructure. Traditional development methods, fragmented tools and a lack of experience engineers are causing organizations to lose a lot of time, which can lead to inefficient, low-performing and costly computer vision systems. Viso Suite, an all-in-one enterprise visual platform, automates the entire lifecycle to build and deploy computer vision applications. High-quality training data can be collected using automated collection capabilities. All data collection can be controlled and secured. Continuous data collection is a key component of your AI models.

We'll host your website so you can focus on building. Our rest API is easy to use. No limits, no headaches. We have all the information you need. Don't pay for nothing. We only charge for use. Our support team is also our tech team. You'll get support directly, not through a series of hoops. Our flexible infrastructure allows us scale with you as your business grows and can handle spikes in activity. Our stable diffusion API allows you to easily create images and art from text to image, or image to image. Additional models allow you to change the output's style. MJ v4, Any v3, Analog and Redshift, and many more. Other stable diffusion versions such as 2.0+ will also include. You can train your own stable diffusion model (fine tuning) and then deploy on Evoke via an API. In the future, we will have models such as Whisper, Yolo and GPT-J. We also plan to offer training and deployment on many other models.

Fine-tuning is when you take a dataset, and create a model to use AI. This is not always possible without programming so we created a solution in RIku that handles everything in a very easy format. Fine-tuning unlocks an entirely new level of power for artificial intelligence and we are excited to help you explore this. Public Share Links are landing pages you can create for any of the prompts. These can be designed with your brand in mind, including colors and adding your logo. These links can be shared with anyone, and if they have access to the password to unlock it they will be able make generations. No-code assistant builder for your audience. We found that projects using multiple large languages models have a lot of problems. They all return their outputs in a slightly different way.

With just one line of code, you can deploy all major ML frameworks like Pytorch and Onnx. Do you not have your own models? Prebuilt models can be deployed to reduce latency and cost. You can fine-tune models for specific tasks to reduce latency and costs while increasing performance. It's easy to do and you don't have to worry about infrastructure. Integrate with the top ML observability platform to be alerted on feature or prediction drift, compare models versions, and resolve issues quickly. To resolve model performance problems, discover the root causes of prediction and feature drift. Find out which features contribute the most to your model's performance.

Search, filter and sort AI models. Find the best model for your AI project. Subscribe to receive a monthly update on new models. Sponsor the site and show off your company in front of 5,000+ AI developers and founders. Your ad is here for only $49! Reach thousands of AI developers and founders to convert them into customers. Replicate Codex is the ultimate destination for AI professionals looking for the latest AI models. Our platform is the ideal place for your business to showcase its AI models, tools and services. Over 5,000 AI founders use our tool every month. Advertising on our platform will allow you to reach a highly-targeted audience of AI professionals actively searching for solutions. Your company can receive a place on our homepage as well as a newsletter sponsorship for just $49 per monthly. Your ad will then be seen by thousands AI professionals searching for the best AI models.

Create a custom AI assistant in less than 3 minutes. Add all the essential information, FAQs and protocols, as well as any other information that you find relevant. Increase user engagement and time spent on site with an AI-powered interactive support experience. Our powerful AI tools can help you work smarter and not harder. You can choose to use Alter Mind publicly or privately, to integrate it into your app or to leverage it within our platform. Alter Mind can be used to automate data analysis, optimize processes, streamline customer service and more. Our platform is designed for you to work more effectively and smarter.

Watsonx is a new enterprise-ready AI platform that will multiply the impact of AI in your business. The platform consists of three powerful components, including the watsonx.ai Studio for new foundation models, machine learning, and generative AI; the watsonx.data Fit-for-Purpose Store for the flexibility and performance of a warehouse; and the watsonx.governance Toolkit to enable AI workflows built with responsibility, transparency, and explainability. The foundation models allow AI to be fine-tuned to the unique data and domain expertise of an enterprise with a specificity previously impossible. Use all your data, no matter where it is located. Take advantage of a hybrid cloud infrastructure that provides the foundation data for extending AI into your business. Improve data access, implement governance, reduce costs, and put quality models into production quicker.

Tool for developers to monitor and improve AI powered by LLMs or other foundation models. Our simple SDK provides you with an intuitive and actionable overview of how your generative AI application is performing in production. Integrate LLM into your existing codebase, developer workflow and workflow. You can maintain complete control of your data by using our audit logs and fine-grained controls. Get actionable insights into how to improve LLM interactions. These teams are not only best equipped to integrate these capabilities into existing software, but also their proclivity for deployment, iteration, and improvement will be more relevant going forward. We believe that as software becomes more malleable, engineering teams will be the ones to turn this malleability into a delightful and hyper-personalized experience for users. The generative AI revolution will be led by developers.

The best data will help you achieve peak model performance. Create and manage training data for any visual modality. Debug models, boost performance and make foundation models yours. Expert review, QA, and QC workflows will help you deliver better datasets to your artificial-intelligence teams, improving model performance. Encord's Python SDK allows you to connect your data and models, and create pipelines that automate the training of ML models. Improve model accuracy by identifying biases and errors in your data, labels, and models.

Your team can develop AI applications using models such as GPT-4, and operate them visually. You can deploy your application within 5 minutes, whether it is for internal team use or an external release. Using documents/webpages/Notion content as the context for AI, automatically complete text preprocessing, vectorization and segmentation. No need to learn embedding methods anymore. This will save you weeks of development. Dify offers a smooth user experience for model access and context embedding. It also provides cost control, data annotation, and cost control. You can easily create AI apps for internal team use, or product development. Start with a prompt but go beyond its limitations. Dify offers rich functionality in many scenarios.

LlamaIndex, a "dataframework", is designed to help you create LLM apps. Connect semi-structured API data like Slack or Salesforce. LlamaIndex provides a flexible and simple data framework to connect custom data sources with large language models. LlamaIndex is a powerful tool to enhance your LLM applications. Connect your existing data formats and sources (APIs, PDFs, documents, SQL etc.). Use with a large-scale language model application. Store and index data for different uses. Integrate downstream vector stores and database providers. LlamaIndex is a query interface which accepts any input prompts over your data, and returns a knowledge augmented response. Connect unstructured data sources, such as PDFs, raw text files and images. Integrate structured data sources such as Excel, SQL etc. It provides ways to structure data (indices, charts) so that it can be used with LLMs.

Make AI an integral part of your business. With the flexibility and power of a cloud native platform, you can build better, deploy faster and audit easier. Import models and search cataloged model from across your organization. Save time by quickly annotating data with model-in the-loop hinting. Flyte's integration with Chariot allows you to quickly create and launch custom workflows. Understand the full origin of your data, models and workflows. Deploy models wherever you need them. This includes edge and IoT applications. Data scientists are not the only ones who can get valuable insights from their data. With Chariot's low code interface, teams can collaborate effectively.

Superpowered AI is a knowledge retrieval solution that's been designed specifically for LLM applications. We turn complex infrastructure into a few API calls. Give your LLMs private information, such as internal company documents, that was not in the training data. Store old messages in the Knowledge Base, and retrieve the most pertinent ones every time the user sends another message. Reduce hallucinations when you include relevant information in your prompts. Instruct the LLM only to use the information that it has been given. Superpowered AI's knowledge retrieval system allows you to retrieve the correct information and insert it directly into your LLM prompts. This allows you to provide highly relevant responses to users. Create a knowledge database directly from local files or folders, URLs, and query using REST API in less than 10 lines. Multi-stage knowledge retrieval pipeline that is state-of-the art to provide the most relevant results.

OpenAI's GPT Engine can be used to build supervised large-language models backed by your own data. Supervised is a tool that allows enterprises to build AI apps with scalability. It can be difficult to build your own LLM. We let you create and sell your AI apps using Supervised. Supervised AI gives you the tools to create powerful and scalable AI & LLM Apps. You can quickly build high-accuracy AI using our custom models and data. AI is being used by businesses in a very basic way, and the full potential of AI has yet to be unlocked. We let you use your data to create a new AI model. Build custom AI applications using data sources and models created by other developers.

Deeploy allows you to maintain control over your ML models. You can easily deploy your models to our responsible AI platform without compromising transparency, control and compliance. Transparency, explainability and security of AI models are more important today than ever. You can monitor the performance of your models with confidence and accountability if you use a safe, secure environment. Over the years, our experience has shown us the importance of human interaction with machine learning. Only when machine-learning systems are transparent and accountable can experts and consumers provide feedback, overrule their decisions when necessary, and grow their trust. We created Deeploy for this reason.

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Bruinen allows your platform to validate your users' profiles across the Internet. We offer easy integration with a wide range of data sources including Google, GitHub and many others. Connect to the data that you need and take actions on one platform. Our API handles auth, permissions and rate limits, reducing complexity and increasing productivity. This allows you to iterate faster and focus on your core product. Allow users to confirm a specific action via SMS, email, or magic-link prior to the action taking place. Allow your users to customize the actions that they want to confirm with a pre-built permissions interface. Bruinen provides a consistent, easy-to-use interface for accessing your users' profiles. Bruinen allows you to connect, authenticate and pull data from these accounts.