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    Clarifai API

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    Sold by: Clarifai 
    The Clarifai AI lifecycle platform helps organizations build, deploy, and operationalize AI and orchestrate AI workloads.

    Overview

    Clarifai is the leading hybrid cloud AI orchestration platform for deploying production-ready AI at scale. Clarifai's Compute Orchestration maximizes AI performance, reduces costs, and scales effortlessly. Our end-to-end, full stack enterprise AI platform allows organizations to build AI faster, leverage today's modern AI technologies like cutting-edge Generative AI, vector searches to enable Retrieval Augmented Generation (RAG), automated data labeling, dataset management, model training and evaluation, and more. Founded in 2013, Clarifai has been used to build more than 1.5 million AI models with more than 400,000 users in 170 countries.

    • Deploy AI Anywhere:
      Run AI workloads on any hardware, in our shared serverless SaaS or in your VPC, on-premise, or air-gapped environments.

    • Maximize Compute, Cut Costs:
      Optimize your resource utilization with GPU fractioning, auto-scaling, and batch and inference streaming.
      Use spot instances for maximum savings for latency-tolerant workloads.

    • Control & Governance
      Monitor AI model performance, resource usage, and costs using a unified Control Center.
      Enjoy enterprise-grade security with Audit Logging, Role-based Access Controls, and personnel management via Organizations and Teams.

    • Accelerate AI to production:
      Streamline model deployment with automated workflows, push-button builds, and simplified scaling.
      Bring your preferred model building tools and let Clarifai's stack complement your workflow.

    Highlights

    • Compute Orchestration: The Hybrid Cloud AI Orchestration Platform: Deploy production-ready AI at scale, optimize your AI compute, avoid vendor lock-in, and control spend more efficiently.
    • Full-stack AI platform: Every AI lifecycle tool you need to customize your AI workloads. Auto-label, train, evaluate, and deploy models with our full AI toolset - backed by world-class AI expertise.

    Details

    Delivery method

    Deployed on AWS

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    Features and programs

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    Pricing

    Clarifai API

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Clarifai
    Please get in touch with the team for private offers and custom pricing
    $25,000.00

    Additional usage costs (1)

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    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Description
    Cost/unit
    clarifai_usage
    Additional Usage
    $0.01

    Vendor refund policy

    All fees are non-refundable and non-cancellable except as required by law.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Support

    Vendor support

    Email support services are available from Monday to Friday.
    support@clarifai.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Customer reviews

    Ratings and reviews

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    65 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Computer Software

    Easy to use AI tool with good features

    Reviewed on Jul 11, 2025
    Review provided by G2
    What do you like best about the product?
    Clarifai is very easy to use and set up. I didn’t need a lot of technical knowledge to start using it. The number of features it offers—especially for image and text AI—is really good. I found it pretty easy to integrate into my workflow with their API. I use it a few times a week, mostly for testing and small projects, and it’s been reliable so far. The clean UI and smooth experience make implementation simple, even for beginners.
    What do you dislike about the product?
    The customer support could be faster and more helpful. Some of the advanced features take time to understand, and the documentation doesn’t always explain everything clearly. If you use it often or at a larger scale, the cost adds up quickly. Also, a few features could be more customizable.
    What problems is the product solving and how is that benefiting you?
    Clarifai helps me experiment with computer vision and AI projects without needing to build everything from scratch. It saves time by giving access to pre-built models and tools for training custom ones. This is especially useful for learning and testing ideas quickly.
    SOUMYA SINGH m.

    Clarifai makes powerful AI accessible and easy to use

    Reviewed on Jul 11, 2025
    Review provided by G2
    What do you like best about the product?
    The UI is intuitive, and their pre-trained models deliver solid performance right out of the box.
    What do you dislike about the product?
    I would say the initial learning curve can feel slightly steep for those entirely new to machine learning platforms.
    What problems is the product solving and how is that benefiting you?
    Whether it's image recognition, text classification, or deploying emotion-aware applications, clarifai provides the tools and infrastructure that save time and reduce complexity.
    Information Technology and Services

    Helped with my projects! Would recommend!

    Reviewed on Jul 11, 2025
    Review provided by G2
    What do you like best about the product?
    I use Clarifai for few months now. It is powerful tool for working with AI and images. Platform is good if you want to do image recognition, object detection, or train own models. It helped me in project where I had to sort images by content.

    Dashboard is simple and easy to use. I am not expert in machine learning, but I still manage to use most features. Clarifai supports many file types and APIs, which is useful when working with different systems.

    Only problem I face is documentation. It is not always clear, and sometimes missing details. Free tier also has limits if project is big.

    Overall, Clarifai is smart choice if working with AI for image or video. Not perfect, but very helpful and flexible.
    What do you dislike about the product?
    It pretty much worked for me good enough
    What problems is the product solving and how is that benefiting you?
    Being a data analyst, I can use Clarifai to detect objects, faces, or scenes in data.

    In data science, I often need to label large amount of data. Clarifai helps with that by doing auto-labeling. It makes job faster and less boring. Also, it supports custom training, so I can teach model to understand specific things from my dataset.

    Clarifai also works with APIs, so it is easy to connect with other tools I use in project. I can send image or video, and get results quickly. This is useful when building AI solutions or running experiments.
    zein k.

    support of rags is essential for my workflow

    Reviewed on Jul 10, 2025
    Review provided by G2
    What do you like best about the product?
    i can choose languages , cloud technologies , and a good community
    What do you dislike about the product?
    the free tier gets limited to be honest and it can get complicated to setup versus an open source library
    What problems is the product solving and how is that benefiting you?
    by adding generative ai capabilities to my productfor example i upload a picture and the llm writes a personalized caption and description like the content generated is nice gets better
    Higher Education

    Really helpful tool to build vision models quickly

    Reviewed on Jul 10, 2025
    Review provided by G2
    What do you like best about the product?
    The best thing I liked is how fast and easy it is to use. I didn’t need to write too much code and still I could train and deploy a model for my image data. The platform is clean and beginner friendly. It also have some ready-made models which saved me a lot of time during testing and demo.
    What do you dislike about the product?
    Few things though, the free version gets limited very quick and for more serious use you need to upgrade. Also I felt it’s not much flexible for advanced research or model tweaking. Annotation tool also felt a bit slow when handling larger datasets.
    What problems is the product solving and how is that benefiting you?
    Clarifai helped me a lot in quickly testing and building computer vision models for my student projects. I didn’t had to write all the code from scratch, and could still train and test things easily. It made my work faster, especially for image detection and classification tasks where I needed results quickly for demo or testing. It saved me time and let me focus more on other parts of the project.
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