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CLARIFAI

GPU-optimized AI inference and compute orchestration for enterprise AI deployment at scale

Data & Analytics Growth Series C+
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Overview

Clarifai is an enterprise AI platform specializing in GPU-optimized AI inference and compute orchestration for deploying AI models at scale. Founded in 2013 by Matt Zeiler, Ph.D., a former Google Brain researcher and world-renowned computer vision expert, the company enables developers and organizations to build, share, and run AI models across cloud, on-premise, and edge environments.

The platform serves 400,000+ users across 170+ countries spanning insurance, government, media, retail, and technology sectors. Clarifai has trained over 1 million AI models on its platform and holds leadership positions in both the Forrester Wave (2019) and IDC MarketScape (2022) for computer vision platforms.

In 2025, Clarifai launched its Reasoning Engine, achieving industry-leading performance benchmarks with 500+ tokens per second throughput and 0.3 second time-to-first-token latency -- claiming 2x faster performance and 40% lower cost compared to alternatives. The company's insurance-specific solutions address property damage assessment, vehicle damage evaluation, and property risk underwriting.

Products & Services

AI Inference Platform

GPU-optimized inference engine for deploying AI models at speed and scale across cloud, on-premise, and edge infrastructure.

Key Features

  • GPU acceleration and optimization for production workloads
  • Multi-cloud support (AWS, Azure, GCP)
  • Edge deployment capabilities
  • Unified model management and versioning

Target Users: Enterprise developers and data science teams

Reasoning Engine (2025)

Specialized inference engine optimized for agentic AI and reasoning models, launched in 2025.

Key Features

  • 500+ tokens per second throughput
  • 0.3 second time-to-first-token latency
  • 2x faster and 40% lower cost than comparable alternatives
  • Designed for multi-step reasoning and agentic AI workflows

Target Users: Enterprise AI teams building agentic applications

Compute Orchestration

Manages AI workloads across heterogeneous compute environments including cloud, on-premise, and edge infrastructure.

Key Features

  • Automated resource allocation across infrastructure types
  • Support for diverse hardware configurations
  • Workload scheduling and optimization

Target Users: Enterprise IT and MLOps teams

Computer Vision Models

Pre-trained and custom vision models for image and video analysis.

Key Features

  • Aerial imagery and geospatial analysis
  • Damage assessment (property and vehicle)
  • Property feature detection (pools, trampolines, roof types)
  • General-purpose image and video recognition

Target Users: Carriers, MGAs, insurers with property and auto lines

Insurance-Specific AI Solutions

Purpose-built AI solutions for the insurance industry covering claims, underwriting, and fraud. Property Damage Assessment: Uses aerial imagery and geospatial analysis to identify completely or partially destroyed homes, reduce fraudulent claims, and accelerate claims settlement. Vehicle Damage Evaluation: Computer vision recognizes damage extent and location to determine claim amounts, reduce payout times, and minimize claims leakage. Property Risk Underwriting: Detects pools, trampolines, flood lines, roof types, and parking lots to manage personal and commercial insurance risk. Analyzes applications, social media, news, and police records for underwriting risk assessment.

Target Users: P&C carriers and MGAs

Natural Language Processing

Text and document understanding capabilities for insurance workflows.

Key Features

  • Text extraction and entity recognition
  • Risk analysis from unstructured text sources
  • Document classification and routing

Target Users: Carriers, underwriters, claims teams

Developer API and SDKs

Integration tools enabling AI embedding into applications across multiple programming languages and frameworks.

Key Features

  • REST API with comprehensive documentation
  • SDKs for major programming languages
  • Pre-built model library with 1M+ trained models

Target Users: Developers and engineering teams

At a Glance

Founded
2013
Headquarters
Washington, DC (offices in Wilmington DE, San Francisco CA, Tallinn Estonia)
Employees
51-200
Funding
Series C+

Category & Focus

Category
Data & Analytics
Subcategories
Computer Vision AI Inference Natural Language Processing Document AI
Insurance Verticals
P&C Personal P&C Commercial Specialty/E&S
Target Customers
Carriers, MGAs/MGUs

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Last updated: 2026-04-09