Sold by: Clarifai
The Clarifai AI lifecycle platform helps organizations build, deploy, and operationalize AI and orchestrate AI workloads.
4.3
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
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Delivery method
Deployed on AWS
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Features and programs
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Pricing
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.
Dimension | Description | Cost/12 months |
|---|---|---|
Clarifai | Please get in touch with the team for private offers and custom pricing | $25,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
clarifai_usage | Additional Usage | $0.01 |
Dimensions summary
This listing uses a contract pricing model with two components. The Clarifai dimension covers your base contract, priced through custom offers you arrange directly with the vendor. The clarifai_usage dimension bills any Additional Usage beyond what your contract includes. Together, these let you set a committed base and then pay for consumption above that amount. Because base pricing is custom, you work with the vendor to size your contract, while usage charges scale with what you consume through the platform.
Top-of-mind questions for buyers
The clarifai_usage dimension bills Additional Usage beyond what your base contract includes. This covers consumption on the platform, such as running inference, deploying models, and orchestrating AI workloads across cloud, on-premise, or edge environments. Charges here scale with what you actually consume above your committed amount.
When your consumption passes what your base contract covers, the clarifai_usage dimension bills the overage as Additional Usage. This charge applies only to consumption above your commitment, not your full usage. It scales with how much you use, so higher activity raises this portion of the invoice.
You pay your base contract through the Clarifai dimension, set by custom pricing you arrange with the vendor. The clarifai_usage dimension adds separate charges for Additional Usage above that base. Both appear together. The base is a fixed committed amount; usage charges vary with actual consumption on the platform.
docs.clarifai.com
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Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
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.
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
Vendor 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
Atharva S.
Clarifai Streamlines Multimodal AI Development with a Powerful All-in-One Platform
Reviewed on Aug 17, 2026
Review provided by G2
What do you like best about the product?
What I like best about Clarifai is its comprehensive AI platform for building, deploying, and managing computer vision, natural language processing, and generative AI applications from a single interface. It supports image recognition, object detection, visual search, embeddings, custom model training, and multimodal AI, making it easy to develop production-ready AI solutions without managing complex infrastructure. I also appreciate its developer-friendly APIs, model marketplace, scalable deployment options, and strong support for both cloud and on-premises environments. Overall, Clarifai significantly reduces AI development complexity, accelerates time to production, and enables teams to build powerful multimodal AI applications efficiently.
What do you dislike about the product?
One area where Clarifai could improve is offering more intuitive workflow customization and richer observability for large-scale AI deployments. While the platform supports a wide range of vision, NLP, and generative AI models, configuring complex production pipelines and optimizing performance across multiple models can require additional effort. I'd also like to see more advanced cost monitoring, broader third-party integrations, and enhanced documentation for enterprise use cases. Overall, the experience has been very positive, but improved developer tooling, deeper analytics, and expanded integration options would make Clarifai even more valuable for teams building production AI applications.
What problems is the product solving and how is that benefiting you?
Clarifai solves the challenge of building and deploying AI-powered applications by providing a unified platform for computer vision, natural language processing, generative AI, and multimodal models. Instead of managing separate tools and infrastructure for model training, deployment, inference, and monitoring, developers can use a single platform to create image recognition, object detection, visual search, content moderation, document processing, and AI-powered automation solutions. This reduces development complexity, accelerates deployment, improves scalability, and enables faster experimentation with different AI models. As a result, it has streamlined AI development workflows, increased developer productivity, and made it much easier to build and deploy production-ready AI applications.
Subhashree S.
Clarifai’s Flexible Model Workflows and Powerful Multimodal Platform
Reviewed on Aug 16, 2026
Review provided by G2
What do you like best about the product?
What I like best about Clarifai is the breadth of models and the flexibility to combine them into custom workflows. It makes it easy to experiment with different AI models and then build something more production-ready without having to manage every model or infrastructure component separately. I also find the multimodal capabilities useful for working with text, images, audio, and video in the same platform.
What do you dislike about the product?
The main thing I dislike about Clarifai is that the pricing can become expensive as usage grows, especially for smaller teams or individual developers. Some of the advanced features also have a learning curve, and the documentation could be more beginner-friendly. I’d also like to see more customization and flexibility in certain areas.
What problems is the product solving and how is that benefiting you?
Clarifai helps solve the challenge of building, testing, and deploying AI models without having to manage the entire ML infrastructure from scratch. It provides pre-trained and custom models, data labeling, model training, workflows, and deployment tools in one platform.
For me, the biggest benefit is faster development and easier experimentation. I can use existing models, connect multiple models into workflows, and deploy them without spending as much time on infrastructure and model-management work. This makes it easier to turn AI prototypes into usable applications and scale them when needed.
For me, the biggest benefit is faster development and easier experimentation. I can use existing models, connect multiple models into workflows, and deploy them without spending as much time on infrastructure and model-management work. This makes it easier to turn AI prototypes into usable applications and scale them when needed.
anish k.
Fast, Straightforward Computer Vision Models with Clear API Docs
Reviewed on Aug 15, 2026
Review provided by G2
What do you like best about the product?
I really appreciate how fast and straightforward it is to get computer vision models up and running. The API documentation is super clear, and being able to quickly fine-tune pre-trained models saves our team a massive amount of development time
What do you dislike about the product?
The pricing structure can scale up quickly, and the free tier feels fairly restrictive if you want to do any extended testing. Also, the documentation can sometimes seem a bit fragmented, especially when you’re trying to set up more complex, multi-model workflows and piece everything together.
What problems is the product solving and how is that benefiting you?
Problems Solved: It addresses the high complexity and cost of training custom machine learning models and building AI infrastructure from scratch.
Benefits: It dramatically shortens time-to-market by offering ready-to-use APIs, pre-trained models, and straightforward low-code/no-code fine-tuning tools.
Benefits: It dramatically shortens time-to-market by offering ready-to-use APIs, pre-trained models, and straightforward low-code/no-code fine-tuning tools.
Alexis G.
Streamlined Media Editing with Effortless Integration
Reviewed on Aug 13, 2026
Review provided by G2
What do you like best about the product?
I really like Clarifai for its structure when dealing with videos and text, and it helps simplify things like organizing audio. The time-saving aspect and its user-friendly nature are great, and I appreciate how easy it is to integrate with other tools. The easy language that they use is also a plus. Setting up Clarifai was very easy for me because someone from my team did it, and I found it very, very easy once it was all set up.
What do you dislike about the product?
I find the easy language they use problematic.
What problems is the product solving and how is that benefiting you?
I find Clarifai helps me with editing video, handling unstructured pictures/audio, organizing audio, and text structuring. It's time-saving, user-friendly, and integrates easily.
Accounting
Clarifai’s All-in-One AI Platform Makes Testing and API Integration Easier
Reviewed on Aug 13, 2026
Review provided by G2
What do you like best about the product?
I like that Clarifai brings different AI capabilities into one platform and makes it relatively easy to test models and connect them to other projects through APIs. The platform feels responsive for experimenting with models, and the interface is straightforward enough that the learning curve isn’t too steep. I also like having pre-trained models available instead of having to build everything from scratch.
From a value perspective, it makes more sense when you actually need several AI capabilities or want to integrate them into a workflow, rather than just using it for occasional experiments. The onboarding and documentation are useful for getting started, although some areas can take a bit of exploring before everything becomes clear.
From a value perspective, it makes more sense when you actually need several AI capabilities or want to integrate them into a workflow, rather than just using it for occasional experiments. The onboarding and documentation are useful for getting started, although some areas can take a bit of exploring before everything becomes clear.
What do you dislike about the product?
One area that could be improved is the UI/UX, especially when working with more advanced workflows. Some parts can take a little time to understand, and the number of options can make the platform feel less intuitive at first. Pricing can also be harder to judge for smaller or occasional projects, since the value depends a lot on how heavily you use the AI services. Onboarding and documentation are useful, but having more guided examples for specific integrations and real-world use cases would make it easier to get productive faster.
What problems is the product solving and how is that benefiting you?
Clarifai helps simplify the process of experimenting with and integrating AI models instead of having to build every AI component from scratch. I find it useful for testing different AI capabilities, connecting them to projects through APIs, and turning those experiments into practical workflows. It also saves some development effort by providing pre-trained models and ready-made tools, while the documentation and integrations make it easier to move from testing to implementation.