Best Artificial Intelligence Software for Google Cloud Storage

Find and compare the best Artificial Intelligence software for Google Cloud Storage in 2025

Use the comparison tool below to compare the top Artificial Intelligence software for Google Cloud Storage on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    icCube Reviews
    Top Pick

    icCube

    $20,000/year
    30 Ratings
    Top Pick See Software
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    icCube, a Swiss-made analytics solution, is crafted for B2B SaaS product and development teams aiming to integrate advanced analytics directly into their applications. Our dashboards are designed to merge effortlessly within the SaaS solution's UI and UX, powered by icCube’s strong analytical engine, which supports complex data models with high-level security features. Adopting a developer-to-developer approach, the icCube team guides clients to ensure a smooth, rapid transition to production. We recognize the challenges of data navigation, so we’re thrilled to offer our Data Analytics Boutique Services. Tailored for both new and existing clients, this suite provides seamless data integration, fortified security, deep insights, automated decision-making, and visually impactful reports. At every project stage and throughout the product lifecycle, we partner closely with our clients, from providing quick feedback to full project and product launches.
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    Crowdin Reviews
    Top Pick

    Crowdin

    Crowdin

    $50.00/month
    656 Ratings
    See Software
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    Get quality translations for your app, website, game, supporting documentation, and on. Invite your own translation team or work with professional translation agencies within Crowdin. Features that ensure quality translations and speed up the process • Glossary – create a list of terms to get consistent translations • Translation Memory (TM) – no need to translate identical strings • Screenshots – tag source strings to get context-relevant translations • Integrations – set up integration with GitHub, Google Play, API, CLI, Android Studio, and on • QA checks – make sure that all the translations have the same meaning and functions as the source strings • In-Context – proofreading within the actual web application • Machine Translations (MT) – pre-translate via translation engine • Reports – get insights, plan and manage the project Crowdin supports more than 30 file formats for mobile, software, documents, subtitles, graphics and assets: .xml, .strings, .json, .html, .xliff, .csv, .php, .resx, .yaml, .xml, .strings and on.
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    Lokalise Reviews

    Lokalise

    Lokalise

    $120 per month
    2 Ratings
    Lokalise (Translation Management System) is a tool that allows teams to automate, manage, and effectively translate content. It was created as an alternative to expensive and outdated tools, with a clear focus removing the hassle of localization. Lokalise allows you to manage software translations for any type of software, such as mobile apps (iOS and Android), websites or digital content. Lokalise allows you to: - Translate your localization files. - Manage all of your software localization projects from one place. - Add contextual information (screenshots), to translations. You can see in real time how the translations will look in your web browser or mobile app. Lokalise translators can provide professional translations or you can use machine translation.
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    Alegion Reviews
    A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.
  • 5
    Microsoft Fabric Reviews

    Microsoft Fabric

    Microsoft

    $156.334/month/2CU
    Connecting every data source with analytics services on a single AI-powered platform will transform how people access, manage, and act on data and insights. All your data. All your teams. All your teams in one place. Create an open, lake-centric hub to help data engineers connect data from various sources and curate it. This will eliminate sprawl and create custom views for all. Accelerate analysis through the development of AI models without moving data. This reduces the time needed by data scientists to deliver value. Microsoft Teams, Microsoft Excel, and Microsoft Teams are all great tools to help your team innovate faster. Connect people and data responsibly with an open, scalable solution. This solution gives data stewards more control, thanks to its built-in security, compliance, and governance.
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    Immuta Reviews
    Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number. Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.
  • 7
    Elastic Observability Reviews
    The most widely used observability platform, built on the ELK Stack, is the best choice. It converges silos and delivers unified visibility and actionable insight. All your observability data must be in one stack to effectively monitor and gain insight across distributed systems. Unify all data from the application, infrastructure, user, and other sources to reduce silos and improve alerting and observability. Unified solution that combines unlimited telemetry data collection with search-powered problem resolution for optimal operational and business outcomes. Converge data silos with the ingesting of all your telemetry data from any source, in an open, extensible and scalable platform. Automated anomaly detection powered with machine learning and rich data analysis can speed up problem resolution.
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    CVAT Reviews

    CVAT

    CVAT

    $33 per month
    CVAT, the leading data engine for machine-learning, allows you to annotate better. Teams at all scales use and trust CVAT for data of all sizes. CVAT's intuitive, lightning-fast user interface was developed in collaboration with real-world teams that are solving real-world issues. CVAT is used by the most ambitious AI teams in the world every day, from medical to retail to autonomous cars. CVAT can handle any input data and expected results. It works well with images, videos and even 3D. Bounding boxes and polygons. Points, skeletons. Cuboids. Trajectories. Automated interactive algorithms such as intelligent scissors, histogram equality, and others will help you annotate more efficiently. Get actionable insights from metrics such as the annotator's working hours, the number of objects per hour and more.
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    Keepsake Reviews
    Keepsake, an open-source Python tool, is designed to provide versioning for machine learning models and experiments. It allows users to track code, hyperparameters and training data. It also tracks metrics and Python dependencies. Keepsake integrates seamlessly into existing workflows. It requires minimal code additions and allows users to continue training while Keepsake stores code and weights in Amazon S3 or Google Cloud Storage. This allows for the retrieval and deployment of code or weights at any checkpoint. Keepsake is compatible with a variety of machine learning frameworks including TensorFlow and PyTorch. It also supports scikit-learn and XGBoost. It also has features like experiment comparison that allow users to compare parameters, metrics and dependencies between experiments.
  • 10
    Guild AI Reviews
    Guild AI is a free, open-source toolkit for experiment tracking. It allows users to build faster and better models by bringing systematic control to machine-learning workflows. It captures all details of training runs and treats them as unique experiments. This allows for comprehensive tracking and analysis. Users can compare and analyse runs to improve their understanding and incrementally enhance models. Guild AI simplifies hyperparameter optimization by applying state-of the-art algorithms via simple commands, eliminating complex trial setups. It also supports pipeline automation, accelerating model creation, reducing errors and providing measurable outcomes. The toolkit runs on all major operating system platforms and integrates seamlessly with existing software engineering applications. Guild AI supports a variety of remote storage types including Amazon S3, Google Cloud Storage and Azure Blob Storage.
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    5X Reviews

    5X

    5X

    $350 per month
    5X is a data platform that offers everything you need to centralize your data, clean it, model it, and analyze it. 5X is designed to simplify data management. It offers seamless integration with more than 500 data sources. This ensures uninterrupted data movement between all your systems using pre-built connectors and custom connectors. The platform includes ingestion, warehousing and modeling, orchestration and business intelligence. All of this is presented in a simple-to-use interface. 5X supports a variety of data movements including SaaS applications, databases, ERPs and files. Data is transferred automatically and securely to data lakes and warehouses. 5X's enterprise-grade security encrypts the data at its source, identifying personally identifiable data and encrypting it at a column-level. The platform is designed for a 30% reduction in total cost of ownership compared to building a platform yourself. It also enhances productivity by providing a single interface for building end-to-end pipelines.
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    Bloomreach Reviews
    Bloomreach personalizes e-commerce. Its data engine unifies customer and product data in real-time so businesses can understand what customers want. By connecting this understanding to all channels, the ecommerce experience becomes limitless - reflecting a changing consumer as they shop. Loomi's AI for ecommerce is a powerful tool that creates new paths to purchase. Bloomreach's products include Engagement, a marketing-automation platform, Discovery, an ecommerce search solution, Content, a CMS without a user interface, and Clarity, AI powered conversational shopping. The company holds multiple AI patents, and it serves global brands such as Williams-Sonoma and Bosch.
  • 13
    Scale GenAI Platform Reviews
    Build, test and optimize Generative AI apps that unlock the value in your data. Our industry-leading ML expertise, our state-of-the art test and evaluation platform and advanced retrieval augmented-generation (RAG) pipelines will help you optimize LLM performance to meet your domain-specific needs. We provide an end-toend solution that manages the entire ML Lifecycle. We combine cutting-edge technology with operational excellence to help teams develop high-quality datasets, because better data leads better AI.
  • 14
    Cloud Dataprep Reviews
    Trifacta's Cloud Dataprep is an intelligent data service that visually explores, cleans, and prepares structured and unstructured data to be used for analysis, reporting, or machine learning. Cloud Dataprep works on any scale and is serverless, so there is no infrastructure to install or manage. Cloud Dataprep will suggest and predict your next data transformation with every UI input. This eliminates the need to write code. Cloud Dataprep, a Trifacta-operated integrated partner service, is based on their industry-leading data prep solution. Trifacta and Google work together to create a seamless user experience. This eliminates the need to install software, pay separate licensing fees, or incur ongoing overhead. Cloud Dataprep is fully managed, scales according to your data preparation requirements so you can focus on analysis.
  • 15
    TiMi Reviews
    TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.
  • 16
    cnvrg.io Reviews
    An end-to-end solution gives you all the tools your data science team needs to scale your machine learning development, from research to production. cnvrg.io, the world's leading data science platform for MLOps (model management) is a leader in creating cutting-edge machine-learning development solutions that allow you to build high-impact models in half the time. In a collaborative and clear machine learning management environment, bridge science and engineering teams. Use interactive workspaces, dashboards and model repositories to communicate and reproduce results. You should be less concerned about technical complexity and more focused on creating high-impact ML models. The Cnvrg.io container based infrastructure simplifies engineering heavy tasks such as tracking, monitoring and configuration, compute resource management, server infrastructure, feature extraction, model deployment, and serving infrastructure.
  • 17
    Google Cloud Inference API Reviews
    Time-series analysis is crucial for many companies' day-to-day operations. The most popular uses include analyzing foot traffic and conversions for retailers, detecting data abnormalities, identifying correlations over sensor data, and generating high-quality suggestions. Cloud Inference API Alpha allows you to gather insights from your time-series data in real-time. You can get all the information you need to understand your API query results, including the groups of events examined, the number and background probabilities of each event returned. You can stream data in real time, which makes it possible to calculate correlations for real events. Rely on Google Cloud's entire infrastructure and defense-in depth approach to security, which has been innovating for over 15 years via consumer apps. Cloud Inference API integrates seamlessly with other Google Cloud Storage services.
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    Aporia Reviews
    Our easy-to-use monitor builder allows you to create customized monitors for your machinelearning models. Get alerts for issues such as concept drift, model performance degradation and bias. Aporia can seamlessly integrate with any ML infrastructure. It doesn't matter if it's a FastAPI server built on top of Kubernetes or an open-source deployment tool such as MLFlow, or a machine-learning platform like AWS Sagemaker. Zoom in on specific data segments to track the model's behavior. Unexpected biases, underperformance, drifting characteristics, and data integrity issues can be identified. You need the right tools to quickly identify the root cause of problems in your ML models. Our investigation toolbox allows you to go deeper than model monitoring and take a deep look at model performance, data segments or distribution.
  • 19
    Google Cloud Timeseries Insights API Reviews
    Many companies need to be able to detect anomalies in their time series data. Timeseries Insights API Preview allows you to gain insights from your time-series data in real-time. You will find all the information you need to understand your API query result, including anomaly events, forecasted ranges of values and slices of events. Stream data in real time, allowing you to detect anomalies as they occur. Google Cloud's comprehensive infrastructure and defense-in depth approach to security has been innovating for more than 15 years. Timeseries Insights API, at its core, is fully integrated with other Google Cloud Storage service, giving you consistent access across storage products. You can detect trends and anomalies across multiple event dimensions. Handle large datasets containing tens to billions of events. Execute thousands of queries per second.
  • 20
    Google Cloud Recommendations AI Reviews
    Show your customers that you are able to understand them and earn their trust. Google has spent years creating recommendations across its flagship properties, such as YouTube, Google Search, Google Ads, and Google Search. Recommendations AI uses that machine learning expertise and experience to provide personalized recommendations that are tailored to each customer's preferences and tastes across all touchpoints. Customers will love more of the things they love. You don't need to preprocess data or train or hyper-tune machine-learning models, load balance or manually provision your infrastructure for unpredictable traffic spikes. We do it all automatically. Google's machine learning models and expertise in recommendation technology allow you to take advantage of their expertise. They can correct for seasonality and bias, and excel in situations with long-tail items and cold-start users. Integrate data, manage models and make recommendations to improve performance.
  • 21
    Sana Reviews
    All your knowledge and learning can be found in one place. Sana is an AI-powered learning platform that empowers groups to share, discover, and harness the knowledge needed to accomplish their missions. Blending live collaboration sessions with personalized, self-paced courses gives everyone a more immersive learning experience. All from one platform. Sana Assistant can generate questions, explanations and images from scratch, which lowers the barriers to sharing knowledge. Interactive quizzes, Q&As, stickynotes and reflection cards, as well as recordings, can help anyone keep the energy up and engage. Integrate Sana into all your team apps to make your entire company's knowledge searchable within 100ms. Github, Google Workspace (Notion, Slack and Salesforce), Github. You name it, Sana can query it.
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    Label Studio Reviews
    The most flexible data annotation software. Quickly installable. Create custom UIs, or use pre-built labeling template. Layouts and templates that can be customized to fit your dataset and workflow. Detect objects in images. Supported are boxes, polygons and key points. Partition an image into multiple segments. Use ML models to optimize and pre-label the process. Webhooks, Python SDK and API allow you authenticate, create tasks, import projects, manage model predictions and more. ML backend integration allows you to save time by using predictions as a tool for your labeling process. Connect to cloud object storage directly and label data there with S3 and GCP. Data Manager allows you to manage and prepare your datasets using advanced filters. Support multiple projects, use-cases, and data types on one platform. You can preview the labeling interface as you type in the configuration. You can see live serialization updates at the bottom of the page.
  • 23
    Vanti Reviews
    Manufacturing Analytics from Vanti is a robust tool for plant professionals. Vanti's ability to combine manufacturing data from multiple sources allows it to offer an automated, intuitive manufacturing insights platform. Vanti uses advanced natural language processing to provide clear interpretations of complex manufacturing behaviors and deliver actionable insights. This makes data exploration as simple as a conversation. Vanti allows users the ability to interact with data using simple, conversational questions. The platform also automatically generates detailed visualisations such as charts and highlights to help users better understand the data. All of this information is integrated into an intuitive interface that allows for easy navigation and operation regardless of your level of technical expertise. Vanti's manufacturing analytics provide professionals with a comprehensive understanding on plant behavior.
  • 24
    Robust Intelligence Reviews
    Robust Intelligence Platform seamlessly integrates into your ML lifecycle to eliminate any model failures. The platform detects weaknesses in your model, detects statistical data issues such as drift, and prevents data from being inserted into your AI system. A single test is the heart of our test-based approach. Each test measures the model's resistance to a particular type of production model failure. Stress Testing runs hundreds upon hundreds of these tests in order to assess model production readiness. These tests are used to automatically configure an AI Firewall to protect the model from the specific types of failures to which it is most vulnerable. Continuous Testing also runs these tests during production. Continuous Testing provides an automated root cause analysis that identifies the root cause of any test failure. ML Integrity can be ensured by using all three elements of Robust Intelligence.
  • 25
    Qualytics Reviews
    Enterprises can manage their data quality lifecycle proactively through contextual data checks, anomaly detection, and remediation. Expose anomalies, metadata and help teams take corrective action. Automate remediation workflows for quick and efficient error resolution. Maintain high data-quality and prevent errors from impacting business decisions. The SLA chart gives an overview of SLA. It includes the total number SLA monitoring performed and any violations. This chart will help you identify data areas that require further investigation or improvements.
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