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The human-centric platform for production ML & AI Access data easily, scale compute cost-efficiently, and ship to production confidently with fully managed infrastructure, running securely in your cloud.

Safe & trusted Generative AI powered automation for regulated industries Level-up efficiency and user experience with the only conversational AI platform to safely harness the world's most advanced Generative AI & Large Language Models (LLMs) Conversational AI automation & customer intelligence software Natural conversations, transformative outcomes Safe & trusted AI Built from the ground up for regulated industries, OpenDialog puts you in full control of your conversational applications, from the sources of knowledge, to the AI models employed, and the presentation of responses. Enjoy peace of mind with fully auditable and explainable data for every conversation and decision point. Rest assured, our platform never provides responses to questions it can’t understand. Automate more Faster & easier Better customer experience Detailed data insights

One AI's Generative AI API is a comprehensive tool designed to help businesses process text, audio, and video. The API can be used to create advanced NLP capabilities, build powerful analytics, and automatically process audio and video into structured data. It is designed to be easily integrated into an app or workflow, and users can select from the library or build their own. It is also possible to fine-tune the API for specific needs. The API can be used to analyze millions of items and is trusted by innovative companies. It is designed to be easy to use and can be deployed in days. It is powered by the world's best language AI and has been inspired by Alan Turing, the father of theoretical computer science and artificial intelligence.

Omneky is an artificial intelligence-powered tool that provides personalized design solutions for advertising campaigns. It offers an omnichannel creative orchestration platform that generates digital creatives to scale multivariate testing for each advertising platform. The tool's AI algorithms generate rapid iterations of ads for each customer, boosting the ROI of advertising campaigns through data-driven design and messaging. Omneky's centralized hub allows users to view all their campaigns and metrics across different platforms, making advertising as easy as clicking approve. The tool also provides a creative management system library where users can organize their digital assets, including brand guidelines, brand assets, and active and historical ads. Omneky uses deep learning to analyze billions of data points to discover the precise language and designs that will drive results. Users can also leverage Omneky's machine learning capabilities to obtain a more robust understanding of marketing funnel metrics across different advertising platforms. Omneky has been trusted by hundreds of enterprises across all verticals and empowers its customers' growth through AI-powered creative solutions.

Obviously AI is a no-code data science platform that enables users to quickly and easily create machine learning models in minutes. It allows for complex AI models to be built without any prior knowledge of machine learning or programming. It has features such as automated model building, model deployment, model monitoring, integration and sharing, and expert support. The platform offers three main types of models: classification, regression, and time series. Classification models can be used for predicting churn, lead conversion, loan repayment, and fraud. Regression models can be used for predicting sales, dynamic pricing, yield, and deal size. Time series models can be used for predicting a number given a specific time, such as sales in six months or stock price tomorrow. Obviously AI also has features such as model building, model deployment, and model monitoring, which can help users save time and money. Additionally, it has an API that enables users to make real-time predictions and integrate AI into their apps. Finally, it has an expert support team that provides 24/7 access to a dedicated data scientist, who can help with data merging, enrichment, cleaning, and other statistical work.

MosaicML, now integrated with Databricks, is a comprehensive generative AI platform designed for training and deploying large language models (LLMs) with a focus on simplicity, scalability, and efficiency. The platform caters to users looking to streamline AI model development, providing open-source, commercially-licensed models like MPT-7B and MPT-30B that can be easily integrated into applications. MosaicML offers specialized components such as MosaicML Inference for secure deployment, MosaicML Training for pretraining or finetuning custom models, and a large model stack for simplified training and deployment at scale. The platform emphasizes data privacy, enterprise-grade security, and complete model ownership, allowing users to train models in any cloud environment with the flexibility to switch seamlessly between clouds. With a commitment to transparency, MosaicML enables users to own the models trained on their data, facilitating introspection and better explanation of model decisions. The platform is designed for interoperability, cloud-agnosticism, and enterprise-level reliability, seamlessly integrating with existing data pipelines and experiment trackers. Users can iterate faster with MosaicML's efficiency optimizations, addressing engineering, systems, and research challenges. The modular training stack allows users to choose and modify components based on their specific needs, enhancing flexibility and ease of implementation. Supported by a research team and trusted by ML experts, MosaicML has a track record of successful implementations, such as training Ghostwriter 2.7B LLM for code generation. The platform's prominence is further highlighted by its integration with Databricks and its recognition in the AI community through news coverage and customer testimonials.

Moises App is an AI-powered music practice tool designed to help musicians of any skill level perfect their craft. It offers a wide range of features, including vocal removal, instrument separation, mastering tracks, and remixing songs. Through its AI technology, it can detect and isolate vocals, allowing users to practice without the distraction of background music. It also offers a variety of other features such as the ability to separate instruments, enabling users to practice different parts of a song at the same time. Additionally, Moises App offers mastering capabilities, allowing users to polish their recordings and ensure they sound as professional as possible. Finally, the app offers remixing capabilities, allowing users to add in their own creative touches to existing songs. All of these features make Moises App an invaluable tool for any musician looking to improve their skills.

Run generative AI models, large-scale batch jobs, job queues, and much more. Bring your own code — we run the infrastructure. Perfect for bread-and-butter compute workloads AI Inference Fine-tuning Batch Processing A lantern being gradually rendered, with a progress bar Rendering… Supercomputing scale 100x more resources than AWS Lambda: CPU, GPU, RAM, and disk. Serverless pricing Pay only for resources consumed, by the second, as you spin up containers. Powerful data structures Define distributed queues and key-value stores with a single line of Python.

The Social Platform for Data Powered by AI, fueled by effortless collaboration -Collaborate in one spot Empower teams to share knowledge to unlock your data's full potential -Agile Data Governance Drive better and faster informed decisions with higher quality data -Enable the data-literate enterprise Find the data you need with faster and more intuitive discovery using Metaphor AI

Magic is working on frontier-scale code models to build a coworker, not just a copilot. Things we believe Code generation is both a product and a path to AGI AGI safety matters and is solvable To build a great AI product, we need to train our own frontier-scale model Transformers aren’t the final architecture; we have something with a multi-million-token context window

Lavender is an AI-powered email assistant that helps thousands of sellers across the world write better emails more quickly, leading to more positive replies in a shorter amount of time. Rated 4.9/5 on G2, Lavender is fully private and not an ad company. It works by using cookies to provide its service and improve the website. Necessary cookies are used to enable the basic features of the site, such as providing secure log-in or adjusting consent preferences. Functional cookies are used for features such as sharing the content of the website on social media platforms, collecting feedback, and other third-party features. Analytical cookies are used to understand how visitors interact with the website and provide information on metrics such as the number of visitors, bounce rate, traffic source, etc. Lavender also sets cookies for various services such as Spotify, LinkedIn, Cloudflare, Google Tag Manager, and Typeform to enable the various functions of the website.

LangSmith is a developer platform for a new type of application. It offers features like observability, testing, evaluation, and monitoring tools for complex LLM (Language Model) apps. The platform provides a flexible and agnostic open-source SDK that allows easy integration and adaptation to different implementations. With LangSmith, developers can add observability and testing to their LLM apps, enabling them to visualize inputs and outputs at each step in the chain. This helps them understand the behavior of LLMs and build intuition for creating more sophisticated applications. The platform also facilitates unit testing for LLM applications, allowing developers to spin up test datasets, run their applications, and inspect results within the LangSmith environment. It supports features like dataset curation, chain performance comparison, AI-assisted evaluation, collaboration, and adherence to best practices. Moreover, LangSmith provides mission-critical observability by offering application-level usage stats, feedback collection, filtered traces, and cost and performance measurement. This helps developers monitor and understand the behavior of their applications in real-time, especially given the stochastic nature of LLMs. LangSmith aims to help developers build and deploy LLM applications with confidence. It not only offers a set of tools but also establishes best practices for developers to rely on. The platform is suitable for open-source contributors, community members, and software engineers working on LLM applications. Access to LangSmith is available through sign-up for the beta version or by filling out a form for early access for open-source contributors and community members.

Kodezi is an AI developer tool assistant that uses machine learning and natural language processing to auto-correct code. It provides detailed explanations for bug fixes, optimizes code for efficiency, and can translate code to another language. The Kodezi Visual Studio Code Extension is available for download. It is suitable for students, developers, and teams. Integrations are available for web and VS Code. It is also backed by and loved by users. Kodezi is on a mission to 10x productivity in programming and is committed to helping developers write better code with improved efficiency.

We develop cutting-edge search foundation for high-quality enterprise search and RAG solutions. Start with a free trial! Try it for free, no credit card required Our Publications To understand how our large language models were trained from scratch for embedding tasks, check out our latest research and publications. Meet our team at the EMNLP, ACL, SIGIR, NeurIPS, and ICML conferences.

Inworld AI is a platform that enables developers to create realistic and believable characters for games, virtual worlds, and other digital experiences. Inworld AI provides a suite of tools and SDKs that developers can use to easily create intelligent characters with unique personalities, memories, and emotional behaviour. Inworld AI's platform is powered by 20 machine learning and character AI models that mimic human gestures, speech, safety, emotion, and memory. With Inworld AI, developers can create AI characters in minutes, refine them by testing in studio chat or in VR, and deploy them into games and virtual worlds using comprehensive packages for popular engines like Unity and Unreal. Inworld AI also provides a Node.js SDK for developers. The possibilities for more immersive experiences are limitless, with AI-powered characters that can remember users, interact naturally, and express individual personalities.

Grain AI is a tool that provides automated summaries of customer meetings, enabling teams to quickly capture key moments and insights. It offers an intuitive summary of customer meetings, allowing users to easily recall, clip, and share important moments. With Grain AI, users can jump to key moments and get the insights they need in seconds. It provides a library of knowledge with the ability to search a transcript and share a short clip. Grain AI also allows users to quickly share feedback and customer insights with relevant teams through Slack, Notion, and more. It brings customer insights into every decision and allows teams to easily access the voice of the customer.

We build AI systems that can reason We aim to rekindle the dream of the personal computer—by creating practical AI agents that can accomplish larger goals and safely work for us in the real world.

Build AI your users trust Powerful observability, analytics, and evaluation for your AI-powered products. Capture all of your AI product data Get the full picture of your model's performance. Log inputs and outputs and seamlessly enrich them with metadata and user feedback. Analyze model performance Figure out how your model is really working, and where you can improve. Monitor for errors and discover underperforming cohorts and use cases.