Best Machine Learning Software in New Zealand

Find and compare the best Machine Learning software in New Zealand in 2026

Use the comparison tool below to compare the top Machine Learning software in New Zealand on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    JADBio AutoML Reviews
    JADBio is an automated machine learning platform that uses JADBio's state-of-the art technology without any programming. It solves many open problems in machine-learning with its innovative algorithms. It is easy to use and can perform sophisticated and accurate machine learning analyses, even if you don't know any math, statistics or coding. It was specifically designed for life science data, particularly molecular data. It can handle the unique molecular data issues such as low sample sizes and high numbers of measured quantities, which could reach into the millions. It is essential for life scientists to identify the biomarkers and features that are predictive and important. They also need to know their roles and how they can help them understand the molecular mechanisms. Knowledge discovery is often more important that a predictive model. JADBio focuses on feature selection, and its interpretation.
  • 2
    Scale Data Engine Reviews
    Scale Data Engine empowers machine learning teams to enhance their datasets effectively. By consolidating your data, authenticating it with ground truth, and incorporating model predictions, you can seamlessly address model shortcomings and data quality challenges. Optimize your labeling budget by detecting class imbalances, errors, and edge cases within your dataset using the Scale Data Engine. This platform can lead to substantial improvements in model performance by identifying and resolving failures. Utilize active learning and edge case mining to discover and label high-value data efficiently. By collaborating with machine learning engineers, labelers, and data operations on a single platform, you can curate the most effective datasets. Moreover, the platform allows for easy visualization and exploration of your data, enabling quick identification of edge cases that require labeling. You can monitor your models' performance closely and ensure that you consistently deploy the best version. The rich overlays in our powerful interface provide a comprehensive view of your data, metadata, and aggregate statistics, allowing for insightful analysis. Additionally, Scale Data Engine facilitates visualization of various formats, including images, videos, and lidar scenes, all enhanced with relevant labels, predictions, and metadata for a thorough understanding of your datasets. This makes it an indispensable tool for any data-driven project.
  • 3
    Alchemite Reviews
    Alchemite specializes in AI-enhanced physical modeling and offers solutions that assist organizations in deriving actionable insights from both experimental and simulation data, merging machine learning techniques with physics-informed models to enhance prediction accuracy, decrease experimental expenses, and streamline product and process development. Their offerings encompass a variety of domains, including materials discovery and design, predictive modeling for performance and reliability, multiscale modeling that bridges atomic and macroscopic behavior, as well as the automation of various workflow tasks such as data integration, surrogate modeling, and model validation. Furthermore, they advocate for physics-aware neural networks and hybrid modeling strategies that adhere to fundamental scientific principles while simultaneously learning from data, leading to quicker and more precise simulations, a diminished need for costly physical testing, and better-informed decision-making processes. Intellegens' tools find applications in various fields, including the prediction of battery performance and optimization of chemical processes, showcasing their versatility and effectiveness in addressing complex challenges. By integrating advanced computational methodologies, Alchemite aims to empower organizations to innovate and achieve their goals more efficiently.
  • 4
    FARO Sphere XG Reviews

    FARO Sphere XG

    FARO Technologies, Inc.

    FARO Sphere XG, a cloud-based digital platform for digital reality, provides users with a centralized collaborative experience across all of the company's 3D modeling and reality capture applications. Sphere XG, when paired with Stream, enables faster 3D data collection, processing, and project management anywhere in the world. Sphere XG is a systematized tool that allows users to organize 3D scans, 360-degree photos and 3D models. It also allows them to manage data from different teams around the globe. Sphere XG allows you to view and share 3D point clouds, 360-degree photo documentation, and floorplans all in one place. You can also track the progress of your project over time. Ideal for 4D progress management, where the ability of comparing elements over time is crucial, project managers and VDC manager can better democratize the data and eliminate the necessity to use two platforms.
  • 5
    Seebo Reviews

    Seebo

    Seebo Interactive

    Seebo helps process manufacturers predict and prevent unanticipated process inefficiencies that continuously reduce production yield and quality. The company's solutions enable production teams to identify their most difficult losses and predict when they will occur next. Seebo solutions are used by manufacturers in many industries, including Nestle, Procter & Gamble and Hovis, Super Bock and Allnex. The Seebo digital twin is used by production teams on a daily basis to transform actionable, accurate predictive insights into timely actions that drive continuous improvement in throughput.
  • 6
    Fido Reviews
    Fido is a versatile, open-source C++ library designed for machine learning applications, particularly in the fields of embedded electronics and robotics. This library features various implementations, including trainable neural networks, reinforcement learning techniques, and genetic algorithms, alongside a comprehensive robotic simulation environment. Additionally, Fido offers a human-trainable robot control system, as outlined by Truell and Gruenstein. Although the simulator is not included in the latest version, it remains accessible for users who wish to experiment with it on the simulator branch. With its modular design, Fido can be easily adapted for diverse projects in the robotics domain.
  • 7
    Materials Zone Reviews
    Transforming materials data into superior products at an accelerated pace enhances research and development, streamlines scaling processes, and optimizes quality control and supply chain decisions. This approach enables the discovery of innovative materials while utilizing machine learning guidance to predict outcomes, leading to swifter and more effective results. As you progress towards production, you can construct a model that tests the boundaries of your products, facilitating the design of cost-effective and resilient production lines. Furthermore, these models can forecast potential failures by analyzing the supplied materials informatics alongside production line parameters. The Materials Zone platform compiles data from various independent sources, including materials suppliers and manufacturing facilities, ensuring secure communication between them. By leveraging machine learning algorithms on your experimental data, you can identify new materials with tailored properties, create ‘recipes’ for their synthesis, develop tools for automatic analysis of unique measurements, and gain valuable insights. This holistic approach not only enhances the efficiency of R&D but also fosters collaboration across the materials ecosystem, ultimately driving innovation forward.
  • 8
    Digital Twin Studio Reviews
    Data Driven Digital Twin toolset that allows you to Visualize, Monitor, Optimize and Optimize your operation in Real Time using machine learning and artificial intelligence. Control your SKU, Resource, Automation, Equipment, and Other Costs. Digital Twin Shadow Technology - Real-Time Visibility & Traceability Digital Twin Studio®, Open Architecture allows it to interact with a variety of RTLS/data systems - RFID BarCode, GPS PLC, WMS EMR ERP, MRP, and RTLS systems. Digital Twin with AI/Machine Learning - Predictive Analytics, Dynamic Scheduling Predictive analytics in real-time deliver insights via notifications when issues occur before they happen with state-of-the art Digital Twin Technology Digital Twin Replay – View past events and set up active alerts. Digital Twin Studio allows you to replay and animate past events in VR, 3D, and 2D. Digital Twin Live Real-Time Data - Dynamic Dashboards. A drag and drop dashboard builder that allows for unlimited layout possibilities.
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB