Clarifai is a leading developer of Artificial Intelligence (AI) software that uses Machine Learning and Deep Neural Networks for Image/Video Recognition, Natural Language Processing (NLP), and Audio Recognition to identify patterns and meanings from Images/Videos/Audio Files. It was founded in 2013 by Dr. Matthew Zeiler as a commercial entity to build, share, and run AI Solutions at Scale through its Enterprise AI Platform. Customers include companies, governments, and developers from many different industries around the world.
Founded by Dr. Matthew Zeiler After He Won First Place in the 2013 ImageNet Challenge. Initially Offered a Cloud-Based Image/Video Recognition API and iPhone App.
Style Me Pretty Became the First Customer Using Technology for Personalized Images.
Raised $10M in Funding Led By Union Square Ventures.
Launched API v2 Which Included Custom Training and Visual Search Capabilities. Also Raised $30M in Funding Led By Menlo Ventures.
Opened Research Office in San Francisco and Government Office in Washington D.C. Also Partnered With the Department of Defense.
Added On-Premise Deployment Option.
Opened Office in Tallinn, Estonia. Named Leader in Forrester New Wave Computer Vision Platforms.
Raised Additional $60M in Funding Led By NEA, Bringing Total Funding to $100M.
Multi-office setup with cloud and on-premise options
Deep learning-based computer vision with pre-trained models for 11,000+ concepts, custom training, visual search, and multi-modal AI including NLP and audio
Inferred from product descriptions, API documentation references, and company announcements
| Service | Cost | Details | Source |
|---|---|---|---|
| Community | $0 perpetually | Limited monthly requests, 1k operations, 1k input objects, 1 application, SaaS and Local Dev | — |
| Essential | $30/month | 30,000 monthly requests, 15 requests/second, 2 applications, Hybrid Cloud (Self-Hosted), A10G/L4 GPUs | — |
| Professional | $300/month | 100,000 monthly requests, 100 requests/second, 5 applications, L40S/A100 GPUs, custom model training | — |
| Hybrid AI Enterprise | Custom quote | Unlimited requests, 1000+ requests/second, Hybrid Cloud, H100/H200/B200 GPUs, VPC/On-Prem/Air Gapped | — |
| Private AI Enterprise | Custom quote | Unlimited everything, advanced deployment options, Enterprise AI training, volume discounts available | — |
| Pay As You Go | Usage-based | Starts at $0.0012/request for embeddings, $0.0012-$0.008/request for various models, per-second compute billing | Official pricing PDF |
| Free Trial | Available | Free/Freemium version available with Community Plan | TrustRadius |
| Feature | Clarifai | Google Vertex AI | Amazon SageMaker | Hugging Face |
|---|---|---|---|---|
| Core Functionality | Computer Vision/NLP/Audio | Full ML platform | Full ML platform | Model hosting/inference |
| Pricing (starting) | $0 (Community)/$30/mo | $0.0001/request | $0.046/hr t3.medium | $0 (Free tier) |
| Free Tier | Yes (1k ops) | Yes (sandbox) | Yes (Studio) | Yes (inference API) |
| Enterprise Features | SSO/VPC/On-Prem/Air-Gapped | Yes (VPC Service Controls) | Yes (PrivateLink) | Partial (Enterprise Hub) |
| API Availability | Yes (SDKs) | Yes | Yes | Yes |
| Deployment Options | SaaS/Hybrid/On-Prem | Cloud only | Cloud/Edge | Cloud only |
| GPU Support | A100/H100/H200/B200 | A100/H100 | All NVIDIA | A10G/A100 |
| Custom Training | Yes (all plans) | Yes | Yes | Partial (AutoTrain) |
| Support Options | Enterprise/Slack | Enterprise | Enterprise | Enterprise |
Clarifai is geared toward rapidly deploying computer vision capabilities through pre-built vision/NLP/audio models and an easy-to-use API; Vertex AI provides more comprehensive machine learning platform capabilities and can require more DevOps to utilize effectively.
Clarifai is the winner for developer velocity for perception AI; Vertex AI is the winner for organizations that are building custom ML infrastructure.
Clarifai allows for the managed inference of more than 100 pre-built models out-of-the box, whereas SageMaker’s notebook-first approach does not have this same capability. Additionally, Clarifai has a lower barrier of entry than SageMaker, however, SageMaker provides more control and integration into the AWS ecosystem.
Choose Clarifai for fast AI capabilities; SageMaker for native AWS workflow ML.
Clarifai provides production-ready hosting with SLA guarantees across multiple model types (vision/audio/NLP); Hugging Face provides open-source model discovery, which is ideal for discovering new models, however, Hugging Face requires more configuration to be scalable to production environments.
Clarifai for your enterprise production deployment; Hugging Face for experimenting & open source.
Clarifai is a full-stack AI platform (inference + training + data), whereas Scale focuses primarily on data labeling. As such, Clarifai will be more cost-effective when considering the costs associated with long-term inference; Scale is essential for creating custom datasets.
Clarifai is your end-to-end solution for most data flywheels needs; Scale for all data flywheel needs.
Clarifai offers a complete AI system (end-to-end) for developing, deploying and maintaining AI models based on image, video, text, and audio data. Users can build their own models, utilize pre-built models, and utilize the full life-cycle of model development from initial data labeling through production level monitoring.
For technical and/or payment issues, email support@clarifai.com. In addition to contact forms located throughout Clarifai’s website, users may also find community-based support within Clarifai’s Discord channel; all enterprise customers will have access to one-on-one support by an expert.
Clarifai has served a number of industries such as media, retail/ecommerce, insurance, defense, finance, travel, and public sector. Examples of how Clarifai has been utilized include: content moderation, visual search, fraud detection, and threat detection.
Yes. Clarifai utilizes a multi-layered approach to security and meets the most stringent compliance requirements – namely SOC 2, HIPAA, and ISO certification. Additionally, Clarifai allows for secure deployment of its platform to a variety of different cloud, on-prem, and edge environments.
Yes. Customers may deploy the Clarifai platform to any environment using a single API call -- whether public cloud, on-prem server, or edge device. Customers may either bring their own models or choose to utilize the pre-trained models provided by Clarifai.
Yes. Clarifai provides fully-managed data labeling services utilizing high-quality assurance, flexible pricing, and scalable solutions that meet the needs of projects of any size, while securely processing unstructured data.
Using Clarifai’s NSFW detection and custom moderation models, clients can moderate content at speeds up to 16 times that of human moderators. This capability enables protection of communities, filtering of offensive content, and ensuring brand safety.
Yes. Templates exist for apps which enable clients to build an app from scratch to completion in approximately five minutes. Clients may also submit requests via contact form to gain preview and demo access to test out the functionality of the platform.
Clarifai is a mature enterprise AI platform that specializes in areas such as computer vision, multimodal AI, and full-lifecycle management for unstructured data. Proven deployments exist across the defense, media, and commercial sectors, combined with strong compliance offerings, make the platform an ideal solution for mission critical applications. The platforms flexibility in terms of deployment environments and managed services significantly enhances enterprise value. START_TEXT
Clarifai is a leading provider of an enterprise-grade AI platform specifically designed to address complex computer vision issues in regulated industries and high volume data environments.
Clarifai provides an enterprise-grade AI platform focused on computer vision, multimodal data processing and complete AI lifecycle management. A major strength in regulated industries (Defense, Public Sector) — includes compliance certifications and multiple deployment options. Services also include; managed data labeling, model hosting and production monitoring.
Fair - limited public details on pricing, support SLAs, and API specifics. Strong customer use case examples but lacks review site ratings and detailed technical docs in provided sources.
Clarifai has worked with the U.S. Department of Defense, Intelligence Community, Air Force, Army and Special Operations Command. Examples of use cases include; threat identification, disaster relief and border control.
Clarifai is SOC 2 Type 1 certified, HIPAA compliant and ISO compliant with multi-layered security. Clarifai is authorized by the Federal Risk and Authorization Management Program (FedRAMP) through a partnership with Carahsoft to deploy its software in the U.S. government.
Clarifai’s fully-managed data labeling service provides quality assurance, flexible pricing, scalability and secure handling of unstructured data used for AI training.
The single Clarifai API can be deployed across public cloud, private cloud, on-premise servers and edge devices. The compute orchestration preview provides customers with up to 90% cost savings.
Beginning of Text - 86. An active Discord community is available. The template system enables a new app to be created in less than 5 minutes, which allows for fast prototyping.
Tens of thousands of concepts
Logos, apparel, people, vehicles
Foreground/background, roads, walls
Identity, emotion, demographics
Handwritten, printed, multi-language
Frame-by-frame, object tracking
Deep learning models
Provide training data and labels
AI-automated data labeling
Analyze unstructured data
Built-in evaluation tools
Fine-tune pre-trained models
AI asset lineage and versioning
Network models in workflow graphs
Object detection labeling
Semantic segmentation
AI-assisted object selection
100x faster with AI-automation
Label entire images
Frame-by-frame annotation
Scribe LabelForce service
| Metric | Clarifai | Industry Standard |
|---|---|---|
| Object Recognition | >95% | 90-95% |
| Image Captioning CIDEr | >1.2 | 1.0 |
| Image Captioning SPICE | >0.8 | 0.7 |
| GPU Inference Latency | Ultra-low | Standard |
| Token Throughput | Unrivaled | Average |
