Find and compare the best Artificial Intelligence software for Google Cloud Platform in 2024
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Use the comparison tool below to compare the top Artificial Intelligence software for Google Cloud Platform on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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1
Edge Delta
Edge Delta
$0.20 per GBEdge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment. -
2
Neuton AutoML
Neuton.AI
$0Neuton.AI, an automated solution, empowering users to build accurate predictive models and make smart predictions with: Zero code solution Zero need for technical skills Zero need for data science knowledge -
3
Ray
Anyscale
FreeYou can develop on your laptop, then scale the same Python code elastically across hundreds or GPUs on any cloud. Ray converts existing Python concepts into the distributed setting, so any serial application can be easily parallelized with little code changes. With a strong ecosystem distributed libraries, scale compute-heavy machine learning workloads such as model serving, deep learning, and hyperparameter tuning. Scale existing workloads (e.g. Pytorch on Ray is easy to scale by using integrations. Ray Tune and Ray Serve native Ray libraries make it easier to scale the most complex machine learning workloads like hyperparameter tuning, deep learning models training, reinforcement learning, and training deep learning models. In just 10 lines of code, you can get started with distributed hyperparameter tune. Creating distributed apps is hard. Ray is an expert in distributed execution. -
4
Dagster+
Dagster Labs
$0Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. -
5
Eden AI
Eden AI
$29/month/ user Eden AI streamlines the utilization and implementation of AI technologies through a unique API, seamlessly linked to top-tier AI engines. We value your time, sparing you the hassle of choosing the ideal AI engine for your project and data. Forget about waiting for weeks to switch your AI engine – with us, it's a matter of seconds, and it's completely free. Our commitment is to secure the most cost-effective provider without compromising performance quality. -
6
Elai
Panopto
$23 per monthYou can create customized AI videos with a presenter within minutes, without the need for a camera, studio, or green screen. Convert a blog post into a video in 3 clicks. AI can be used to create professional videos from a link to a blog post or article. Learn how Elai can help you increase conversion rates, increase organic visitors and improve viewer engagement through videos. With compelling product videos powered with AI, you can give your business the marketing boost it needs. You can create training videos in 60+ languages with no actors, voiceovers or post-production. Upload to your LMS/LXP easily You can create professional videos from your blog posts. In just a few clicks, you can transform any article into a video presentation. Your content can be translated into 65+ languages without the need for a localization crew. Get your first professional AI video created and take your business to the next level. -
7
Zilliz Cloud
Zilliz
$0Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale. -
8
Union Cloud
Union.ai
Free (Flyte)Union.ai Benefits: - Accelerated Data Processing & ML: Union.ai significantly speeds up data processing and machine learning. - Built on Trusted Open-Source: Leverages the robust open-source project Flyte™, ensuring a reliable and tested foundation for your ML projects. - Kubernetes Efficiency: Harnesses the power and efficiency of Kubernetes along with enhanced observability and enterprise features. - Optimized Infrastructure: Facilitates easier collaboration among Data and ML teams on optimized infrastructures, boosting project velocity. - Breaks Down Silos: Tackles the challenges of distributed tooling and infrastructure by simplifying work-sharing across teams and environments with reusable tasks, versioned workflows, and an extensible plugin system. - Seamless Multi-Cloud Operations: Navigate the complexities of on-prem, hybrid, or multi-cloud setups with ease, ensuring consistent data handling, secure networking, and smooth service integrations. - Cost Optimization: Keeps a tight rein on your compute costs, tracks usage, and optimizes resource allocation even across distributed providers and instances, ensuring cost-effectiveness. -
9
NeuraLead
NeuraLead
$3 per leadNeuraLead finds new leads and their direct contact details, and then gathers all the data needed to convert them. NeuraLead searches hundreds of databases and billions of records to find the direct contact information of the employees you wish to speak with. The NeuraLead's API allows for almost limitless automation and triggering methods. It integrates seamlessly with existing communication, CRM and data stacks. NeuraLead combines AI, sophisticated algorithms and clever coding in order to search the internet for the best B2B leads that match your product or service. It can analyze a company's website and create an "ideal fit" profile. Then it searches through billions of records to find other companies that match this profile. NeuraLead AI will then find the contact information of the specified job titles within the company after it has found the best matches. Neuralead can be used via the GUI, our API as well as a browser extension for Chrome, Firefox and Edge. -
10
Praxie
Praxie
$99/month/ user Praxie (formerly upBOARD), offers out-of the box solutions, templates and apps for everything. You can get started instantly with a customized collaborative software solution. All your plans, processes, and progress dashboards in one place. Mix and match industry experts' best practices. Transform your work process instantly You can instantly transform your work process by using best practices to build your business strategy. Execute strategy by setting objectives and measuring performance. Your innovation process should be led to create opportunity portfolios, and pipelines that will drive business growth. Using dashboards and tools to improve operations excellence, you can encourage team collaboration. -
11
Diffgram Data Labeling
Diffgram
FreeYour AI Data Platform High Quality Training Data for Enterprise Data Labeling Software for Machine Learning Your Kubernetes Cluster up to 3 users is free TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE Images, Video, and Text Spatial Tools Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video. Attribute Tools More Meaning. More freedom through: Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more! Complex knowledge can be captured and encoded into your AI. Streaming Data Automation Manual labeling can be up to 10x faster than automated labeling -
12
Explorium
Explorium
$50K/year Explorium is a data science platform that combines automatic data discovery with feature engineering. Explorium empowers data scientists and business executives to make better decisions by automatically connecting to thousands external data sources (premium and partner) and using machine learning to extract the most relevant signals. Try it for free at www.explorium.ai/free-trial -
13
JetBrains Datalore
JetBrains
$19.90 per monthDatalore is a platform for collaborative data science and analytics that aims to improve the entire analytics workflow and make working with data more enjoyable for both data scientists as well as data-savvy business teams. Datalore is a collaborative platform that focuses on data teams workflow. It offers technical-savvy business users the opportunity to work with data teams using no-code and low-code, as well as the power of Jupyter Notebooks. Datalore allows business users to perform analytic self-service. They can work with data using SQL or no-code cells, create reports, and dive deep into data. It allows core data teams to focus on simpler tasks. Datalore allows data scientists and analysts to share their results with ML Engineers. You can share your code with ML Engineers on powerful CPUs and GPUs, and you can collaborate with your colleagues in real time. -
14
Flyte
Union.ai
FreeThe workflow automation platform that automates complex, mission-critical data processing and ML processes at large scale. Flyte makes it simple to create machine learning and data processing workflows that are concurrent, scalable, and manageable. Flyte is used for production at Lyft and Spotify, as well as Freenome. Flyte is used at Lyft for production model training and data processing. It has become the de facto platform for pricing, locations, ETA and mapping, as well as autonomous teams. Flyte manages more than 10,000 workflows at Lyft. This includes over 1,000,000 executions per month, 20,000,000 tasks, and 40,000,000 containers. Flyte has been battle-tested by Lyft and Spotify, as well as Freenome. It is completely open-source and has an Apache 2.0 license under Linux Foundation. There is also a cross-industry oversight committee. YAML is a useful tool for configuring machine learning and data workflows. However, it can be complicated and potentially error-prone. -
15
Snitch AI
Snitch AI
$1,995 per yearSimplified quality assurance for machine learning. Snitch eliminates all noise so you can find the most relevant information to improve your models. With powerful dashboards and analysis, you can track your model's performance beyond accuracy. Identify potential problems in your data pipeline or distribution shifts and fix them before they impact your predictions. Once you've deployed, stay in production and have visibility to your models and data throughout the entire cycle. You can keep your data safe, whether it's cloud, on-prem or private cloud. Use the tools you love to integrate Snitch into your MLops process! We make it easy to get up and running quickly. Sometimes accuracy can be misleading. Before you deploy your models, make sure to assess their robustness and importance. Get actionable insights that will help you improve your models. Compare your models against historical metrics. -
16
Cohere
Caldera Labs
$69 per monthAutomate common questions, eliminate manual tasks such as routing and triage, save agents time, and all this within your existing CX stack. Customers will be delighted by self-service solutions to common questions. Agents can also be empowered to achieve smarter outcomes without the need for a human touch. Cohere is more than chatbots. It acts as an automation layer throughout your entire CX lifecycle, automating repetitive, manual tasks so your agents can do the things they love. Automate repetitive questions using the content you already own. Reduce handling times by avoiding unnecessary transfers. You can visually guide customers via chat or phone. An AI copilot for agents will speed up your interactions. Find out what is causing slowdowns in your agents and fix it. Cohere's AI platform works immediately, unlike other solutions that require weeks of training and proactive maintenance. It also doesn't require manual labeling. Instead, it learns from interactions and continues to work over time. -
17
Comet
Comet
$179 per user per monthManage and optimize models throughout the entire ML lifecycle. This includes experiment tracking, monitoring production models, and more. The platform was designed to meet the demands of large enterprise teams that deploy ML at scale. It supports any deployment strategy, whether it is private cloud, hybrid, or on-premise servers. Add two lines of code into your notebook or script to start tracking your experiments. It works with any machine-learning library and for any task. To understand differences in model performance, you can easily compare code, hyperparameters and metrics. Monitor your models from training to production. You can get alerts when something is wrong and debug your model to fix it. You can increase productivity, collaboration, visibility, and visibility among data scientists, data science groups, and even business stakeholders. -
18
Giskard
Giskard
$0Giskard provides interfaces to AI & Business teams for evaluating and testing ML models using automated tests and collaborative feedback. Giskard accelerates teamwork to validate ML model validation and gives you peace-of-mind to eliminate biases, drift, or regression before deploying ML models into production. -
19
InsightFinder
InsightFinder
$2.5 per core per monthInsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved. -
20
TrueFoundry
TrueFoundry
$5 per monthTrueFoundry provides data scientists and ML engineers with the fastest framework to support the post-model pipeline. With the best DevOps practices, we enable instant monitored endpoints to models in just 15 minutes! You can save, version, and monitor ML models and artifacts. With one command, you can create an endpoint for your ML Model. WebApps can be created without any frontend knowledge or exposure to other users as per your choice. Social swag! Our mission is to make machine learning fast and scalable, which will bring positive value! TrueFoundry is enabling this transformation by automating parts of the ML pipeline that are automated and empowering ML Developers with the ability to test and launch models quickly and with as much autonomy possible. Our inspiration comes from the products that Platform teams have created in top tech companies such as Facebook, Google, Netflix, and others. These products allow all teams to move faster and deploy and iterate independently. -
21
ZenML
ZenML
FreeSimplify your MLOps pipelines. ZenML allows you to manage, deploy and scale any infrastructure. ZenML is open-source and free. Two simple commands will show you the magic. ZenML can be set up in minutes and you can use all your existing tools. ZenML interfaces ensure your tools work seamlessly together. Scale up your MLOps stack gradually by changing components when your training or deployment needs change. Keep up to date with the latest developments in the MLOps industry and integrate them easily. Define simple, clear ML workflows and save time by avoiding boilerplate code or infrastructure tooling. Write portable ML codes and switch from experiments to production in seconds. ZenML's plug and play integrations allow you to manage all your favorite MLOps software in one place. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code. -
22
Coral
Coral
$0.0000004 per tokenCoral is a knowledge assistant that helps enterprises boost the productivity of their strategic teams. Coral can be asked a question to find answers in your documents, backed up with citations. The generated responses can be verified with citations, reducing the risk of hallucinations. Explain large language models for a non-technical retailer executive. Coral can be tailored to fit your specific job functions, whether you are in finance, support, or sales. Connect data sources to its knowledge base to make it more powerful. Coral integrates with your ecosystem via 100+ integrations that span CRMs, collaboration tools and databases. Manage Coral in your own secure cloud, either through cloud partners (AWS GCP OCI etc.). Virtual private clouds. Coral data will never be sent to Cohere. It stays in your own environment. Coral's responses are based on your documents and data. Citations will be displayed to show where the responses are based. -
23
vishwa.ai
vishwa.ai
$39 per monthVishwa.ai, an AutoOps Platform for AI and ML Use Cases. It offers expert delivery, fine-tuning and monitoring of Large Language Models. Features: Expert Prompt Delivery : Tailored prompts tailored to various applications. Create LLM Apps without Coding: Create LLM workflows with our drag-and-drop UI. Advanced Fine-Tuning : Customization AI models. LLM Monitoring: Comprehensive monitoring of model performance. Integration and Security Cloud Integration: Supports Google Cloud (AWS, Azure), Azure, and Google Cloud. Secure LLM Integration - Safe connection with LLM providers Automated Observability for efficient LLM Management Managed Self Hosting: Dedicated hosting solutions. Access Control and Audits - Ensure secure and compliant operations. -
24
Modulos AI Governance Platform
Modulos AG
15kModulos AG, established in 2018, stands as a Swiss leader in Responsible AI Governance and is the inaugural AI Governance platform to receive ISO 42001 certification. The organization is dedicated to equipping businesses with the tools necessary to manage AI products and services responsibly within regulated settings, thereby enhancing and expediting the AI compliance process. The platform allows organizations to effectively oversee risks and adhere to essential regulatory frameworks, including the EU AI Act, NIST AI RMF, ISO 42001, among others. Consequently, Modulos aids its clients in mitigating economic, legal, and reputational risks, thereby promoting trust and ensuring long-term success in their AI initiatives. -
25
ID Privacy AI
ID Privacy AI
$15 per monthID Privacy is shaping the future of AI by focusing on privacy-first solutions. Our mission is to deliver cutting edge AI technologies to empower businesses to innovate, without compromising security and trust. ID Privacy AI provides secure, adaptable AI model built with privacy in mind. We empower businesses in all industries to harness advanced AI. Whether it's optimizing workflows, improving customer AI chat experiences or driving insights while safeguarding data, we empower them. The team at ID Privacy met and developed the plan for AI as a Service solution under the guise of stealth. Launched with the most comprehensive knowledge base of ad technology, including multi-modal and multi-lingual capabilities. ID Privacy AI focuses on privacy-first AI for businesses and enterprise. Businesses can be empowered with a flexible AI Framework that protects data and solves complex challenges in any vertical.