Alternatives to MAIOT
Compare MAIOT alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to MAIOT in 2026. Compare features, ratings, user reviews, pricing, and more from MAIOT competitors and alternatives in order to make an informed decision for your business.
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1
Veryon
Veryon
We help everyone in the aviation industry get their aircraft more uptime. The key is having a better technology platform to manage everything from maintenance to manuals. Get everything you need right at your fingertips, including real-time visibility of maintenance data, operations data, regulatory data, and more. With an intuitive platform interface that makes it easier to find what you’re looking for, plus a team of experts with deep aviation knowledge. With an intelligent database that leverages AI and machine learning to simplify everything from documentation to troubleshooting. After nearly 50 years in the business, we have built a growing reputation for getting our customers more aircraft uptime. -
2
neptune.ai
neptune.ai
Neptune.ai is a machine learning operations (MLOps) platform designed to streamline the tracking, organizing, and sharing of experiments and model-building processes. It provides a comprehensive environment for data scientists and machine learning engineers to log, visualize, and compare model training runs, datasets, hyperparameters, and metrics in real-time. Neptune.ai integrates easily with popular machine learning libraries, enabling teams to efficiently manage both research and production workflows. With features that support collaboration, versioning, and experiment reproducibility, Neptune.ai enhances productivity and helps ensure that machine learning projects are transparent and well-documented across their lifecycle.Starting Price: $49 per month -
3
DagsHub
DagsHub
DagsHub is a collaborative platform designed for data scientists and machine learning engineers to manage and streamline their projects. It integrates code, data, experiments, and models into a unified environment, facilitating efficient project management and team collaboration. Key features include dataset management, experiment tracking, model registry, and data and model lineage, all accessible through a user-friendly interface. DagsHub supports seamless integration with popular MLOps tools, allowing users to leverage their existing workflows. By providing a centralized hub for all project components, DagsHub enhances transparency, reproducibility, and efficiency in machine learning development. DagsHub is a platform for AI and ML developers that lets you manage and collaborate on your data, models, and experiments, alongside your code. DagsHub was particularly designed for unstructured data for example text, images, audio, medical imaging, and binary files.Starting Price: $9 per month -
4
DVC
iterative.ai
Data Version Control (DVC) is an open source version control system tailored for data science and machine learning projects. It offers a Git-like experience to organize data, models, and experiments, enabling users to manage and version images, audio, video, and text files in storage, and to structure their machine learning modeling process into a reproducible workflow. DVC integrates seamlessly with existing software engineering tools, allowing teams to define any aspect of their machine learning projects, data and model versions, pipelines, and experiments, in human-readable metafiles. This approach facilitates the use of best practices and established engineering toolsets, reducing the gap between data science and software engineering. By leveraging Git, DVC enables versioning and sharing of entire machine learning projects, including source code, configurations, parameters, metrics, data assets, and processes, by committing DVC metafiles as placeholders. -
5
Datrics
Datrics.ai
The platform enables machine learning for non-practitioners and automates MLOps for professionals within an enterprise. No prior learning needed, just upload your data to datrics.ai to do experiments, prototyping, and self-service analytics faster with template pipelines, create APIs, and forecasting dashboards in a couple of clicks.Starting Price: $50/per month -
6
Kedro
Kedro
Kedro is the foundation for clean data science code. It borrows concepts from software engineering and applies them to machine-learning projects. A Kedro project provides scaffolding for complex data and machine-learning pipelines. You spend less time on tedious "plumbing" and focus instead on solving new problems. Kedro standardizes how data science code is created and ensures teams collaborate to solve problems easily. Make a seamless transition from development to production with exploratory code that you can transition to reproducible, maintainable, and modular experiments. A series of lightweight data connectors is used to save and load data across many different file formats and file systems.Starting Price: Free -
7
Azure Machine Learning
Microsoft
Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. 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. -
8
Spatialedge
Spatialedge
An AI toolkit, consisting of the SE data platform, best practices, and highly skilled experts. The AI toolkit facilitates and accelerates the creation of bespoke enterprise AI apps. AI Apps that deliver real business value. Our systems and engineers will help you organize all the data in your organization. Bringing together siloed information, creating fit-for-purpose data assets and building highly performant feature stores for your data scientists. We will help you focus on building the right machine learning (ML) models. Run effective proof-of-concepts to build business cases. Craft highly performant ML models. Then when ready, productionize the models and integrate them into your organization. If you already have a data science team, then we fit right in, providing machine learning engineering services and improvements to your processes. -
9
Vidora Cortex
Vidora
Attempting to build Machine Learning Pipelines internally often takes longer and costs more than planned. And worse, Gartner shows that more than 80% of AI Projects will fail. With Cortex, we help teams get up and running with machine learning faster and cheaper than alternatives, all while putting data to use to improve business outcomes. Empower every team with the ability to create their own AI Predictions. No longer will you need to wait to hire a team and build out costly infrastructure. With Cortex you can create predictions from the data you already have, all through an easy to use web interface. Now everyone is a Data Scientist! Cortex automates the process of turning raw data into Machine Learning Pipelines, eliminating the hardest and most time consuming aspects of AI. These predictions stay accurate and up to date by continuously ingesting new data and updating the underlying model automatically – no human intervention needed. -
10
Keepsake
Replicate
Keepsake is an open-source Python library designed to provide version control for machine learning experiments and models. It enables users to automatically track code, hyperparameters, training data, model weights, metrics, and Python dependencies, ensuring that all aspects of the machine learning workflow are recorded and reproducible. Keepsake integrates seamlessly with existing workflows by requiring minimal code additions, allowing users to continue training as usual while Keepsake saves code and weights to Amazon S3 or Google Cloud Storage. This facilitates the retrieval of code and weights from any checkpoint, aiding in re-training or model deployment. Keepsake supports various machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, by saving files and dictionaries in a straightforward manner. It also offers features such as experiment comparison, enabling users to analyze differences in parameters, metrics, and dependencies across experiments.Starting Price: Free -
11
Banana
Banana
Banana was started based on a critical gap that we saw in the market. Machine learning is in high demand. Yet, deploying models into production is deeply technical and complex. Banana is focused on building the machine learning infrastructure for the digital economy. We're simplifying the process to deploy, making productionizing models as simple as copying and pasting an API. This enables companies of all sizes to access and leverage state-of-the-art models. We believe that the democratization of machine learning will be one of the critical components fueling the growth of companies on a global scale. We see machine learning as the biggest technological gold rush of the 21st century and Banana is positioned to provide the picks and shovels.Starting Price: $7.4868 per hour -
12
navio
craftworks GmbH
Seamless machine learning model management, deployment, and monitoring for supercharging MLOps for any organization on the best AI platform. Use navio to perform various machine learning operations across an organization's entire artificial intelligence landscape. Take your experiments out of the lab and into production, and integrate machine learning into your workflow for a real, measurable business impact. navio provides various Machine Learning operations (MLOps) to support you during the model development process all the way to running your model in production. Automatically create REST endpoints and keep track of the machines or clients that are interacting with your model. Focus on exploration and training your models to obtain the best possible result and stop wasting time and resources on setting up infrastructure and other peripheral features. Let navio handle all aspects of the product ionization process to go live quickly with your machine learning models. -
13
alvaDesc
Alvascience
alvaDesc is a cheminformatics software for the calculation and analysis of molecular descriptors, fingerprints, and structural patterns for QSAR, QSPR, read-across, and machine learning applications. It computes more than 5,000 molecular descriptors (0D–3D), including constitutional, topological, geometrical, electronic, physicochemical, and fragment-based descriptors. The software also generates molecular fingerprints and structural pattern counts for similarity analysis, clustering, and classification. Integrated tools support descriptor filtering and correlation analysis for robust and reproducible modeling. alvaDesc integrates seamlessly with KNIME and Python, enabling efficient connection to external data analysis and machine learning workflows. It is widely used in academic and industrial research and supported by extensive documentation and scientific publications. -
14
Tasq.ai
Tasq.ai
Tasq.ai delivers a powerful, no-code platform for building hybrid AI workflows that combine state-of-the-art machine learning with global, decentralized human guidance, ensuring unmatched scalability, control, and precision. It enables teams to configure AI pipelines visually, breaking tasks into micro-workflows that layer automated inference and quality-assured human review. This decoupled orchestration supports diverse use cases across text, computer vision, audio, video, and structured data, with rapid deployment, adaptive sampling, and consensus-based validation built in. Key capabilities include global deployment of highly screened contributors (“Tasqers”) for unbiased, high-accuracy annotations; granular task routing and judgment aggregation to meet confidence thresholds; and seamless integration into ML ops pipelines via drag-and-drop customization. -
15
Polyaxon
Polyaxon
A Platform for reproducible and scalable Machine Learning and Deep Learning applications. Learn more about the suite of features and products that underpin today's most innovative platform for managing data science workflows. Polyaxon provides an interactive workspace with notebooks, tensorboards, visualizations,and dashboards. Collaborate with the rest of your team, share and compare experiments and results. Reproducible results with a built-in version control for code and experiments. Deploy Polyaxon in the cloud, on-premises or in hybrid environments, including single laptop, container management platforms, or on Kubernetes. Spin up or down, add more nodes, add more GPUs, and expand storage. -
16
scikit-learn
scikit-learn
Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.Starting Price: Free -
17
MLflow
MLflow
MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects. -
18
Nextflow
Seqera Labs
Data-driven computational pipelines. Nextflow enables scalable and reproducible scientific workflows using software containers. It allows the adaptation of pipelines written in the most common scripting languages. Its fluent DSL simplifies the implementation and deployment of complex parallel and reactive workflows on clouds and clusters. Nextflow is built around the idea that Linux is the lingua franca of data science. Nextflow allows you to write a computational pipeline by making it simpler to put together many different tasks. You may reuse your existing scripts and tools and you don't need to learn a new language or API to start using it. Nextflow supports Docker and Singularity containers technology. This, along with the integration of the GitHub code-sharing platform, allows you to write self-contained pipelines, manage versions, and rapidly reproduce any former configuration. Nextflow provides an abstraction layer between your pipeline's logic and the execution layer.Starting Price: Free -
19
UnionML
Union
Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine learning methods, implement endpoints for fetching data, training models, serving predictions (and much more) to write a complete ML stack in one place. Data science, ML engineering, and MLOps practitioners can all gather around UnionML apps as a way of defining a single source of truth about your ML system’s behavior. -
20
Vaex
Vaex
At Vaex.io we aim to democratize big data and make it available to anyone, on any machine, at any scale. Cut development time by 80%, your prototype is your solution. Create automatic pipelines for any model. Empower your data scientists. Turn any laptop into a big data powerhouse, no clusters, no engineers. We provide reliable and fast data driven solutions. With our state-of-the-art technology we build and deploy machine learning models faster than anyone on the market. Turn your data scientist into big data engineers. We provide comprehensive training of your employees, enabling you to take full advantage of our technology. Combines memory mapping, a sophisticated expression system, and fast out-of-core algorithms. Efficiently visualize and explore big datasets, and build machine learning models on a single machine. -
21
Cloudera Data Science Workbench
Cloudera
Accelerate machine learning from research to production with a consistent experience built for your traditional platform. With Python, R, and Scala directly in the web browser, Cloudera Data Science Workbench (CDSW) delivers a self-service experience data scientists will love. Download and experiment with the latest libraries and frameworks in customizable project environments that work just like your laptop. Cloudera Data Science Workbench provides connectivity not only to CDH and HDP but also to the systems your data science teams rely on for analysis. Cloudera Data Science Workbench lets data scientists manage their own analytics pipelines, including built-in scheduling, monitoring, and email alerting. Quickly develop and prototype new machine learning projects and easily deploy them to production. -
22
marimo
marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git. 🚀 batteries-included: replaces jupyter, streamlit, jupytext, ipywidgets, papermill, and more ⚡️ reactive: run a cell, and marimo reactively runs all dependent cells or marks them as stale 🖐️ interactive: bind sliders, tables, plots, and more to Python — no callbacks required 🔬 reproducible: no hidden state, deterministic execution, built-in package management 🏃 executable: execute as a Python script, parametrized by CLI args 🛜 shareable: deploy as an interactive web app or slides, run in the browser via WASM 🛢️ designed for data: query dataframes and databases with SQL, filter and search dataframes 🐍 git-friendly: notebooks are stored as .py files ⌨️ a modern editor: GitHub Copilot, AI assistants, vim keybindings, variable explorer, and moreStarting Price: $0 -
23
ML Kit
Google
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package. Make your iOS and Android apps more engaging, personalized, and helpful with solutions that are optimized to run on device. ML Kit’s processing happens on-device. This makes it fast and unlocks real-time use cases like processing of camera input. It also works while offline and can be used for processing images and text that need to remain on the device. Take advantage of the machine learning technologies that power Google's own experiences on mobile. We combine best-in-class machine learning models with advanced processing pipelines and offer these through easy-to-use APIs to enable powerful use cases in your apps. Recognizes handwritten text and handdrawn shapes on a digital surface, such as a touch screen. Recognizes 300+ languages, emojis and basic shapes. -
24
Kaggle
Google
Kaggle is a global AI and machine learning platform that brings together developers, researchers, organizations, and data science enthusiasts to build, evaluate, and improve artificial intelligence technologies. The platform offers access to AI competitions, benchmarks, hackathons, datasets, notebooks, pre-trained models, and educational courses that help users develop real-world machine learning skills. Kaggle enables organizations and researchers to host competitions, crowdsource evaluations, publish benchmarks, and discover top AI talent through its large global community of over 31 million users. Users can access free GPU and TPU-powered notebook environments, collaborate on public datasets, explore pre-trained AI models, and participate in large-scale AI research initiatives. The platform also provides learning resources including hands-on courses, solution write-ups, and reproducible notebooks that support both beginners and advanced machine learning practitioners. -
25
Snitch AI
Snitch AI
Quality assurance for machine learning simplified. Snitch removes the noise to surface only the most useful information to improve your models. Track your model’s performance beyond just accuracy with powerful dashboards and analysis. Identify problems in your data pipeline and distribution shifts before they affect your predictions. Stay in production once you’ve deployed and gain visibility on your models & data throughout its cycle. Keep your data secure, cloud, on-prem, private cloud, hybrid, and you decide how to install Snitch. Work within the tools you love and integrate Snitch into your MLops pipeline! Get up and running quickly, we keep installation, learning, and running the product easy as pie. Accuracy can often be misleading. Look into robustness and feature importance to evaluate your models before deploying. Gain actionable insights to improve your models. Compare against historical metrics and your models’ baseline.Starting Price: $1,995 per year -
26
DataSentics
DataSentics
Making data science & machine learning have a real impact on organizations. We are an AI product studio, a group of 100 experienced data scientists and data engineers with a combination of experience both from the agile world of digital start-ups as well as major international corporations. We don’t end with nice slides and dashboards. The result that counts is an automated data solution in production integrated inside a real process. We do not report clickers but data scientists and data engineers. We have a strong focus on productionalizing data science solutions in the cloud with high standards of CI and automation. Building the greatest concentration of the smartest and most creative data scientists and engineers by being the most exciting and fulfilling place for them to work in Central Europe. Giving them the freedom to use our critical mass of expertise to find and iterate on the most promising data-driven opportunities, both for our clients and our own products. -
27
Abacus.AI
Abacus.AI
Abacus.AI is the world's first end-to-end autonomous AI platform that enables real-time deep learning at scale for common enterprise use-cases. Apply our innovative neural architecture search techniques to train custom deep learning models and deploy them on our end to end DLOps platform. Our AI engine will increase your user engagement by at least 30% with personalized recommendations. We generate recommendations that are truly personalized to individual preferences which means more user interaction and conversion. Don't waste time in dealing with data hassles. We will automatically create your data pipelines and retrain your models. We use generative modeling to produce recommendations that means even with very little data about a particular user/item you won't have a cold start. -
28
Thoa
Thoa.io
Thoa is a cloud bioinformatics platform that solves the six most expensive problems researchers face daily: environment and dependency conflicts, pipeline management, reproducibility, scaling compute, collaboration, and data sharing. Run Nextflow and Snakemake workflows on managed cloud infrastructure (up to 12TB RAM) with zero DevOps setup. Thoa's AI-assisted debugger resolves environment issues in real time, so pipelines don't crash hours into execution. Every run automatically captures its full execution context: data, software versions, environment, and machine config. Share complete analyses with collaborators in one click. Recipients can view and re-run results without creating an account or mirroring infrastructure. Supports Docker, Conda, Singularity, Python, and R.Starting Price: $35/user/month -
29
JFrog ML
JFrog
JFrog ML (formerly Qwak) offers an MLOps platform designed to accelerate the development, deployment, and monitoring of machine learning and AI applications at scale. The platform enables organizations to manage the entire lifecycle of machine learning models, from training to deployment, with tools for model versioning, monitoring, and performance tracking. It supports a wide variety of AI models, including generative AI and LLMs (Large Language Models), and provides an intuitive interface for managing prompts, workflows, and feature engineering. JFrog ML helps businesses streamline their ML operations and scale AI applications efficiently, with integrated support for cloud environments. -
30
BlackBoiler
BlackBoiler
BlackBoiler uses AI to review contracts in minutes based on your historically negotiated contracts and your company standards. Through patented AI and NLP technologies, BlackBoiler automatically marks up inbound contracts according to your company’s playbook, right in “Track Changes.” A user-enabled machine learning feedback loop empowers BlackBoiler to grow smarter and increase efficiency with each additional use. Allowing users to review contracts with greater consistency in a fraction of the time. By reviewing contracts with AI, identifying inconsistencies, and automatically suggesting edits consistent with a company’s playbook — you can standardize how your company reviews and marks up their contracts, no matter who and where it is being negotiated. BlackBoiler allows you to review the same volume of contracts in a fraction of the time while also allowing your staff to leverage their past contract review work to do future work. -
31
Blaize AI Studio
Blaize
AI Studio delivers AI-driven, application end-to-end data operations (DataOps), development operations (DevOps), and Machine Learning operations (MLOps) tools. Our AI Software Platform reduces your dependency on critical resources like Data Scientists and Machine Learning (ML) engineers, reduces the time from development to deployment, and makes it easier to manage edge AI systems over the product’s lifetime. AI Studio is designed for deployment to edge inference accelerators, on-premises edge servers, systems, and AI-as-a-Service (AIaaS) for cloud-based applications. Reducing the time between data capture and AI deployment at the Edge with powerful data-labeling and annotation functions. Automated process leveraging AI knowledge base, MarketPlace and guided strategies, enabling Business Experts with AI expertise and solutions adds. -
32
ZenML
ZenML
Simplify your MLOps pipelines. Manage, deploy, and scale on any infrastructure with ZenML. ZenML is completely free and open-source. See the magic with just two simple commands. Set up ZenML in a matter of minutes, and start with all the tools you already use. ZenML standard interfaces ensure that your tools work together seamlessly. Gradually scale up your MLOps stack by switching out components whenever your training or deployment requirements change. Keep up with the latest changes in the MLOps world and easily integrate any new developments. Define simple and clear ML workflows without wasting time on boilerplate tooling or infrastructure code. Write portable ML code and switch from experimentation to production in seconds. Manage all your favorite MLOps tools in one place with ZenML's plug-and-play integrations. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.Starting Price: Free -
33
Tecton
Tecton
Deploy machine learning applications to production in minutes, rather than months. Automate the transformation of raw data, generate training data sets, and serve features for online inference at scale. Save months of work by replacing bespoke data pipelines with robust pipelines that are created, orchestrated and maintained automatically. Increase your team’s efficiency by sharing features across the organization and standardize all of your machine learning data workflows in one platform. Serve features in production at extreme scale with the confidence that systems will always be up and running. Tecton meets strict security and compliance standards. Tecton is not a database or a processing engine. It plugs into and orchestrates on top of your existing storage and processing infrastructure. -
34
Shaped
Shaped
The fastest path to relevant recommendations and search. Increase engagement, conversion, and revenue with a configurable system that adapts in real time. We help your users find what they're looking for by surfacing the products or content that are most relevant to them. We do this whilst taking into account your business objectives to ensure all sides of your platform or marketplace are being optimized fairly. Under the hood, Shaped is a real-time, 4-stage, recommendation system containing all the data and machine-learning infrastructure needed to understand your data and serve your discovery use-case at scale. Connect and deploy rapidly with direct integration to your existing data sources. Ingest and re-rank in real-time using behavioral signals. Fine-tune LLMs and neural ranking models for state-of-the-art performance. Build and experiment with ranking and retrieval components for any use case. -
35
Ramco Aviation
Ramco Systems
Is going Digital on your agenda? Time to experience Innovation-rich Aviation software built to address the demands of the dynamic aviation industry. Look beyond aging ERP systems - explore the most comprehensive enterprise-wide M&E/ MRO software built to address your business and regulatory requirements. From BOTS to drones, and Machine Learning, get ready for future-ready MRO technology. Largest IP on a single platform, Multi-tenant capability, Real time analytics, Desktop to Mobile, Minimal Programming, Intelligence embedded. Right people at the right time for the right job – plan & schedule your Line, Base & Shop MRO activities & Resources at ease with Ramco iPO. Maintenance on Mobile empowers you to work on the go, fully digital & paperless onboard our Next-Gen Aviation Mobility Solutions. -
36
Atra
Atra Blockchain Services
Build unstoppable applications. Next gen web services that harness the power of Web3. Atra is a cloud computing platform with native support for the public Ethereum blockchain network - giving you a single platform to build and maintain the applications that will power the future. Whether you’re prototyping an idea or building a top-notch product, atra’s expanding suite of fully-managed web services will help you ship applications quickly and easily. Our fully-managed services are the perfect entry point for businesses to start exploring public blockchain use-cases. Atra supports a quick development pace, helps you streamline your workflow and avoid boilerplate tasks, removes friction and allows you to manage your application easily - all from one single platform. Learning Web3 development doesn’t have to be hard. Build an entire application end-to-end with no code on the Atra platform, making it one of the most satisfying learning resources available. -
37
Censius is an innovative startup in the machine learning and AI space. We bring AI observability to enterprise ML teams. Ensuring that ML models' performance is in check is imperative with the extensive use of machine learning models. Censius is an AI Observability Platform that helps organizations of all scales confidently make their machine-learning models work in production. The company launched its flagship AI observability platform that helps bring accountability and explainability to data science projects. A comprehensive ML monitoring solution helps proactively monitor entire ML pipelines to detect and fix ML issues such as drift, skew, data integrity, and data quality issues. Upon integrating Censius, you can: 1. Monitor and log the necessary model vitals 2. Reduce time-to-recover by detecting issues precisely 3. Explain issues and recovery strategies to stakeholders 4. Explain model decisions 5. Reduce downtime for end-users 6. Build customer trust
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38
PathAI
PathAI
At PathAI, we’re prioritizing the improvement of patient outcomes with reliable AI-Powered technology and meaningful collaboration with partners, aiming to provide patients with the most accurate diagnosis and efficient treatments. Our translational platform, together with our team of scientists, biostatisticians, and machine learning engineers, identifies and analyzes new cellular and tissue patterns to find pathology-based features that are used to gain novel insights across all phases of drug development and therapeutic areas at scale. Our platforms use reliable and reproducible technology to eliminate observer variability and improve patient selection and stratification to ensure the right patient is included in every trial and to increase the probability of trial success. Our technology can define the most accurate cut points and provide greater precision to maximize the number of biomarker positive patients. -
39
Azure Open Datasets
Microsoft
Improve the accuracy of your machine learning models with publicly available datasets. Save time on data discovery and preparation by using curated datasets that are ready to use in machine learning workflows and easy to access from Azure services. Account for real-world factors that can impact business outcomes. By incorporating features from curated datasets into your machine learning models, improve the accuracy of predictions and reduce data preparation time. Share datasets with a growing community of data scientists and developers. Deliver insights at hyperscale using Azure Open Datasets with Azure’s machine learning and data analytics solutions. There's no additional charge for using most Open Datasets. Pay only for Azure services consumed while using Open Datasets, such as virtual machine instances, storage, networking resources, and machine learning. Curated open data made easily accessible on Azure. -
40
Oracle Machine Learning
Oracle
Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface. -
41
Heavy Vehicle Inspection (HVI)
JRS Innovation
Helping businesses to unify cost, efficiency, productivity and safety by one connected platform. The industry's top rated software for reliability centered maintenance. Track and fix the productivity issues with Daily operator reporting on work hours, Machine usages, DVIR and additional business data collection. Reduce annual maintenance cost by 25% with well planned PM schedules, follow up process and detailed tracking on parts, labor. No paper printing or reduced administration efforts to maintain machines, compliance data, audit information. 3 month is a average payback time of investment takes to recover the cost for Heavy Vehicle Inspection & Maintenance Software. -
42
Hypatos
Hypatos
Manual document processing is a major cost driver in organizations. Our deep learning technology automates complex document processing tasks to make back-offices more efficient. Use cases for Hypatos document processing AI. We offer deep learning solutions for many document processes. Pre-trained AI models and powerful machine learning pipeline software deliver quick impact on back-office efficiency. Accounts payable processing is one of the largest pain points in back-office operations in every organization. Hypatos offers solutions to automate capturing of invoice data, tax compliance validation and accounting. -
43
Azure Stream Analytics
Microsoft
Discover Azure Stream Analytics, the easy-to-use, real-time analytics service that is designed for mission-critical workloads. Build an end-to-end serverless streaming pipeline with just a few clicks. Go from zero to production in minutes using SQL—easily extensible with custom code and built-in machine learning capabilities for more advanced scenarios. Run your most demanding workloads with the confidence of a financially backed SLA. -
44
MLlib
Apache Software Foundation
Apache Spark's MLlib is a scalable machine learning library that integrates seamlessly with Spark's APIs, supporting Java, Scala, Python, and R. It offers a comprehensive suite of algorithms and utilities, including classification, regression, clustering, collaborative filtering, and tools for constructing machine learning pipelines. MLlib's high-quality algorithms leverage Spark's iterative computation capabilities, delivering performance up to 100 times faster than traditional MapReduce implementations. It is designed to operate across diverse environments, running on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or in the cloud, and accessing various data sources such as HDFS, HBase, and local files. This flexibility makes MLlib a robust solution for scalable and efficient machine learning tasks within the Apache Spark ecosystem. -
45
Spark NLP
John Snow Labs
Experience the power of large language models like never before, unleashing the full potential of Natural Language Processing (NLP) with Spark NLP, the open source library that delivers scalable LLMs. The full code base is open under the Apache 2.0 license, including pre-trained models and pipelines. The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main components, estimators and transformers. The estimators have a method that secures and trains a piece of data to such an application. The transformer is generally the result of a fitting process and applies changes to the target dataset. These components have been embedded to be applicable to Spark NLP. Pipelines are a mechanism for combining multiple estimators and transformers in a single workflow. They allow multiple chained transformations along a machine-learning task.Starting Price: Free -
46
Lisk
Lisk
Lisk is a blockchain application platform. We make blockchain accessible by creating a world in which everyone benefits from this technology. Develop blockchain applications compatible with the Lisk protocol. No need to learn new languages, everything is being written in JavaScript and TypeScript. The modular design of the Lisk SDK enables you to realize any kind of blockchain technology use-case. We are searching for entrepreneurs and developers to build blockchain applications with the Lisk SDK. Join us and receive a 60,000 CHF grant to expand our ecosystem with ground-breaking blockchain use-cases. Lisk Desktop is an all-in-one solution to manage your Lisk account, access and send tokens, or vote for delegates. It combines the functionality of a cryptocurrency wallet with the transparency of a blockchain explorer. Lisk Mobile is your lightweight version ready for on-the-go use. -
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Cerebra
Flutura
Cerebra is an Artificial Intelligence Platform tuned for Industrial IoT, powering use-cases across asset and process heavy industries. Cerebra has the advanced capabilities to integrate physics, heuristics and Machine Learning based models to generate actionable business insights. Connect your field and factory assets to enable remote assessment, diagnostics, prognostics, and edge intelligence. Connect data from people, processes and assets to drive real-time insights to improve efficiency while reducing cost, waste, and risk. Cerebra’s foundation platform, called Cerebra SignalStudioTM, features pre-built industry specific NanoAppsTM with a focus on three verticals across assets and process. Flutura is an AI Solutions company focused on improving two core business objectives of "Asset Uptime" and "Operational Efficiency". We do this with Cerebra, our AI Platform tuned for IIOT in Oil & Gas, Specialty Chemicals, and Heavy machinery manufacturing industries. -
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Imprint Analytics
Imprint Analytics
We help our customers verify their users’ identity with accuracy and efficiency when their users perform an action or make transactions. “Cause for Pause” is our defining motto because that’s what matters most to our customers. By stopping the automation to assess the individual better, our customers prevent fake identities, bots, scams, bad actors, and, ultimately, fraud from their platforms. We offer scores on all US adults (270 million+) across an array of use-cases relating to synthetic identity and e-commerce fraud. - Top-Level Identity Score - Phone Verification - Email Verification - Address Verification - IP Verification - PII Combinatory Linkages 1. Scores are trained against known outcomes of fake identities 2. Highly advanced data-science and machine-learning techniques utilized 3. Scores are built on top of our market-leading identity graph consisting of online and offline consumer data, historical data, and public filingsStarting Price: $.07 per record -
49
Instadapp
Instadapp
On Instadapp, users and developers manage and build their DeFi portfolio - the world's most advanced platform to start leveraging the full potential of Decentralized Finance. Smart contract account owned by the users to manage & optimize funds across any number of protocol. We ensures that there is no way to access your funds to make it as robust and secured as possible. Designed for developers to build extensible use-cases and models with maximum security. Build compelling use-cases and monetize their models to earn money by serving your users with high reliability. Start with your own use case. Execute rapidly with Javascript. Open to all developer team sizes. Create powerful use cases for your users with just javascript code, without worrying about smart contracts & expensive audits.. -
50
BoilerCode
BoilerCode
These boilerplates are ready to use, you just need to clone and can start running. BoilerCode is a catalog of SaaS boilerplates to help you ship your next product super fast. Stripe, LemonSqueezy, auth, and email integrations come out of the box with BoilerCode.Starting Price: $49 one-time payment