Mona Alternatives and Competitors

Evidently AI is a data monitoring platform that provides tools to assess and monitor machine learning models. It visualizes model performance and key metrics in real time. With Evidently AI, you can make a prioritized list of problems to fix and compare and contrast modern and historical statistics. You can find out which features have altered and whether or not important model drivers have switched. You can visually investigate and comprehend drift and understand how the goal and model forecasts vary over time. You can detect model deterioration ahead of time if the ground truth is delayed and recognize when data is faulty. You can detect missing values or out-of-range characteristics and determine the overall quality at a look. You can make changes in correlations and statistical features on the fly along with using data areas to slice the model's performance. You can inspect the aggregate quality to see where the model falls short and use a single command to export HTML reports. Additionally, you can share graphics with the rest of your team and the company's stakeholders.

Create customized monitors for machine learning models with magically-simple monitor builder, and get alerts for issues like concept drift, model performance degradation, bias and more. Aporia integrates seamlessly with any ML infrastructure. Whether it’s a FastAPI server on top of Kubernetes, an open-source deployment tool like MLFlow or a machine learning platform like AWS Sagemaker.

Qualetics provides a complete Data Intelligence platform that continuously monitors user activity delivering the insights need to manage User Experience, Application Performance and monitor for Anomalies, as well as Front-End and Back-End Bugs, all in real time delivering immediate clarity to manage and improve customer experience.

BasicAI Platform is available as a Cloud SaaS service or as licensed software for private cloud or on-premisies deployemnt. Utilize our managed labeling services, manage your own workforce, or take a hybrid approach.

BigML offers a highly scalable, cloud-based Machine Learning service that is easy to use, seamless to integrate, and instantly actionable. Instant Machine Learning at your fingertips in the cloud or on-premises. Either way, you will be up and running with an easy-to-use web interface and REST API in a matter of seconds. All predictive models on BigML come with interactive visualization and explainability features that make them interpretable. BigML is a transparent, collaborative platform for all members of your organization, from analysts and developers to engineers and executives.

Seamless.ai is a sales lead acquisition platform that enables you to directly access B2B decision makers to increase your sales lead acquisition. It allows you to connect with potential clients directly to build your pipeline; close more deals, and shorten your sales cycle effectively. The platform provides a smart search engine that is AI powered to verify the emails and directly dial your potential clients in real time. With Seamless.ai, you can search and find the details of all of your prospects, including their direct dials, and emails using their Chrome extension. It enables you to turn your browser into a massive lead generating machine. You can set filters like revenue, industry, etc. for instant list building from among millions of companies. You can additionally synchronize all of your prospect’s contact information with your CRM using Seamless.ai. Users can streamline their sales process and can import their contacts and account data automatically into CRMs like HubSpot, and Salesforce. The platform offers a free demo version to test and try its features before making the actual purchase.

Millimetric is a monitoring tool that provides insights into business metrics and relevant KPIs. Users can integrate and analyze their data quickly without the need for any coding or software integration. The tool offers a high degree of automation and monitoring occurs 24x7. It even features real-time notifications in the case any anomalies are detected. Machine learning is leveraged to provide users previously invisible insights into anomalies, trends, and relationships in data. The features also include e-commerce metrics, advertising metrics, root cause analysis, related metrics report and sharing and collaboration tools. Several integrations with popular software are easily possible that include Google Analytics, Google Ads, Facebook Ads, Google Search Console, Criteo, and Amazon Ads. Its website mentions some big brands as clients including the likes of Samsung and Omega. The software is also GDPR compliant and any personal data collected is for the purpose of providing services.

MorphL AI is an intuitive AI and ML platform to streamline eCommerce personalisation facilities. The software can be relied upon to personalise experiences, make intelligent decisions and accelerate growth. Marketers are provided access to enhanced ROI and dedicated business personalisation options. An easy to use dashboard helps with clear ML based predictions and seamless coordination between integrated marketing stacks. Thus improving the entire campaign level accuracy in no time. Real-time integration with external data sources like WooCommerce, Google Analytics 360, Shopify, Mailchimp, Amazon S3 and Segment are of great help. Other essential features include user search intent, shopping stage, cart abandonment alerts, personalised recommendations and more. Further, developers can depend on MorphL AI to leverage 6M+ active predictions that are also unique by nature, to experience active integration with third-party applications like Facebook Ads, Google Analytics, BigQuery and Google Ads. For training purposes, MorphL AI’s pre-processors assures accurate formatting, cleaning, data transformation and normalising.

Algorithmia is an MLOps platform that has been designed to ease out the struggles with long deployment timelines associated with machine learning. The platform brings probable models for production and starts operating at its finest to produce actual enterprise-level results. Its inbuilt deployment functionality looks after connecting, loading, cataloguing and validating the registered designs for production. The operations feature manages the budget while monitoring various operations tallied with real-time usage of infrastructure. This, in turn, ensures high-speed delivery of machine learning (ML) projects. Security is again an issue that mostly tends to become a hindrance while using MLOps platforms. However, with Algorithmia, the possibility of a security breach is eliminated thanks to advance reporting and industry-level security layers to protect every bit of the registered data. Further, Algorithmia ensures the delivery of ML models at a rate that is twelve times faster as compared to other methods and that too with, minimal additional costs involved.

Akkio is an advanced AI-powered business analytics and forecasting software that helps you make data-driven choices to grow your company. It enables you to improve the efficiency of all aspects of your growing operations and scale quicker by predicting critical business outcomes using your current data. With Akkio, you can go from data to AI, without any coding or data science expertise. The software offers an enhanced lead scoring feature to improve lead scoring. It enables you to rank your marketing leads by their likeness to convert in order to concentrate your efforts on the highest-probability revenue. It helps you forecast revenue, component and commodity pricing, and market growth for your company using AI. With Akkio, you can predict which of your clients is most likely to leave so that you can prevent churn before it occurs. You can use free-form writing to make rapid business judgments. With a link, you can quickly share your forecasts with your colleagues. Additionally, it provides a prediction engine to help you concentrate on providing more meaningful insights, tools, and solutions.

Amazon Personalize is a machine learning platform that empowers developers to create individualised recommendations for customers using their apps. With tailored search results and targeted marketing promotions, more sales can be driven. With an easy to use service, Amazon makes it possible for developers who have no prior knowledge of machine learning to leverage the benefits of the technology and easily build personalisation features into their apps with high scalability. Common issues that can be overcome with such an ecosystem include handling new users with no data, popularity biases, and catering to the evolving intent of users. Users can deliver personalisation results within days by creating and deploying custom models with a few clicks. The platform automates the machine learning tasks that are involved in the deployment of a personalisation model. For instance, it personalizes every touch point in the user’s journey to extend unique experiences to every customer.

Google Cloud AutoML is a custom machine learning platform that enables developers to train high-quality machine learning models with minimum effort. The platform helps developers with limited machine learning experience to gain access to a variety of tools and create high-quality models specific to their ever-changing business needs. It works as a unified portal where users get to deploy and scale more AI models on the go. It also allows creators to prepare a database of their own and use it to store information. Developers can use the platform to create machine learning models that can detect objects in images and tell customers what they are and how many. Other essential functionalities available within the software are seamless ML model deployment facility at the edge, streaming video analysis, REST API integration, large dataset support, custom sentiment analysis, shot change detection, compatibility with 50+ language and custom models translation functionality.

Machine learning has produced business and research breakthroughs ranging from network security to medical diagnoses. We built the Tensor Processing Unit (TPU) in order to make it possible for anyone to achieve similar breakthroughs. Cloud TPU is the custom-designed machine learning ASIC that powers Google products like Translate, Photos, Search, Assistant, and Gmail. Here’s how you can put the TPU and machine learning to work accelerating your company’s success, especially at scale.

Appier AiDeal is a conversion optimization cloud that uses psychology to discover and convert hesitant shoppers. AiDeal uses more than 400 data parameters, such as chronology, cursor movements, and more, to model each user's reluctance degree and purchase intentions. It exclusively targets hesitant buyers who require extra motivation to place an order, and it prompts immediate sales. Individuals can further employ a limited special offer to give customers the push they require to checkout out at the proper time. With the same budget, the software attracts a greater number of consumers. Appier AiDeal's performance reward payment mechanism ensures that every penny a customer spends adds immediately to a performance boost. The ability to understand customer psychology by leveraging vast on-app or onsite signals, in-depth insights on hesitant users, easy integration and management, customised timings, and the ability to scale to multiple channels by reconciling data and increasing conversion and lifetime value are just a few of the highlights.

Neptune.ml is a smart collaboration platform that assists uses in managing their workflow. It is a perfect solution for freelancers and companies of all sizes that are involved in the collaboration business. It enables the users to work in collaboration with your team and teammates for mutual growth and learning. With Neptune.ml, users get smart tools that can be used for measuring the progress of various processes using data versions, metrics, model files, hyper parameters, source code, and images. You can work in collaboration with your team, have resourceful discussions, and discover knowledgeable insights- all in a single place. You can manage all of your model building metadata with Neptune.ml. Users can store, log, organize, display, query, and compare all of your MLOps metadata with Neptune.ml. Users can also experiment with tracking and their model registry for research purposes with their products using this software. They offer a free trial to assist you in making the right choice before buying the premium version. You also get a variety of premium plan options to choose from with Neptune.ml.

Replicate is an innovative machine learning solution that professionals everywhere can benefit from. It makes it easy to use machine learning models, without requiring extensive knowledge of the technology itself. With Replicate, users can run these in just a few lines of code - allowing professionals to join the world of machine learning without significant delays or roadblocks. This is great for businesses that may be looking to take advantage of this powerful technology but don't have the resources to hire experts in all fields. Replicate provides an entryway into the world of machine learning while still keeping professional knowledge at the center. Whether customer is a business leader looking to leverage new technologies or a programmer adding extra power to existing solutions, Replicate gives everyone access to its powerful capabilities. By making it easier than ever before, Replicate opens up amazing new possibilities and potential for what's achievable with machine learning. Whether customer is a data scientist, engineer or casual tinkerer, Replicate has all the tools that need to take the machine learning projects to new heights. Get started today, and get on the path towards unlocking the potential of AI!

Gradio is a powerful platform that enables users to quickly and easily demo their machine-learning models with a user-friendly web interface accessible from anywhere. The platform's advanced features enable users to create custom demos that showcase the capabilities of their models, making it easier for businesses to collaborate and communicate effectively. Gradio is designed to be user-friendly, even for those without extensive technical expertise, making it accessible to a broad range of users. With Gradio, businesses can easily share their models with clients, stakeholders, or anyone else, enabling them to gain valuable insights into the model's capabilities and potential use cases. The platform's speed and reliability make it an essential tool for businesses seeking to showcase their machine-learning models quickly and efficiently. In summary, Gradio is a highly effective platform for businesses seeking to demo their machine learning models, providing them with a user-friendly interface that anyone can use, anywhere.

AI21 Studio is a leading provider of state-of-the-art artificial intelligence solutions for natural language processing. The platform provides API access to powerful Jurassic-2 and Task-Specific language models, which power text generation and comprehension features in thousands of live applications. These models are trained on vast amounts of data and are continually improved to provide the best results for natural language processing tasks. What sets Jurassic-2 models apart is their ability to adapt to new tasks without requiring any examples. With Jurassic-2 models, can generate high-quality text and comprehend complex language with ease. These models have been extensively tested and proven to outperform traditional methods, making them a top choice for text generation and comprehension needs. Contextual answers models excel at understanding complex questions and providing relevant answers that are suitable for specific contexts. Summarization models are perfect for extracting the most critical information from large texts, while paraphrasing models can accurately rephrase sentences or paragraphs without losing their original meaning. The training methods are constantly evolving, incorporating the latest advancements in AI research to ensure that models are always at the forefront.

V7 labs are an end-to-end computer vision development framework for teams creating image and video annotation products. Albert Rizzoli (CEO) and Simon Edwardson (CTO) founded the company in 2018, and it is based in London, United Kingdom. Using an intuitive UI or sophisticated API connections to manage datasets at ground-truth. Provides customers with configurable workflow phases and maintains crowdsourcing with hundreds of annotators. V7 claimed to have semi-automatically labeled over 1,000 photos and used video segmentation to curate datasets in less than a year. Healthcare, manufacturing, autonomous driving, sports, life sciences, and agri-tech are among V7's specialties. The Darwin Platform (from V7 laboratories) includes automatic picture annotation and neural network training with active learning, which provide pixel-perfect annotation 10 times faster than standard techniques. It facilitates team collaboration and visualization, and has resulted in a significant boost in the labeling process' efficiency and accuracy. It also scales well to meet the needs of users who require tight compliance and compatibility. The framework's active documentation gives information about each toolset, making it user-friendly.

Aginity is an integrated analytics and data management platform. It provides a powerful set of tools to access as well as integrate data from an external file or relational database. The easy to understand SQL interface facilitates the easy and quick building of custom analytics. Past work can be easily accessed through its catalog feature and assets can be shared with the entire team of data analysts, data engineers, data scientists, and business users. Data and math can be co-located easily, which enables data engineers and data scientists to create and manage analytics to be consistently reused in the enterprise. When reusing SQL, there’s no need to recode it. Users can track analytic provenance, record how analytics are built or changed, speed up the development process and even enable analytic probability across applications and users with APIs. Core feature is that users can easily integrate and analyze data from their favorite databases including Snowflake, Amazon Azure, Amazon RDS, Apache Spark, and so on.