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Operationalizing AI

Operationalizing AI for Enterprise Development Teams

Clarifai’s end-to-end AI development platform helps organizations build, deploy, and operationalize AI at scale.

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Op AI
70%
Reduction in AI costs
35x
Reduction in duplicate AI projects
99.99%
uptime with open source models

Implementing AI at enterprise scale

Organizations face several challenges implementing AI at scale. With a shortage of AI expertise, and lack of centralized AI operations and governance, organizations face AI sprawl that contributes to inconsistent outputs and poor customer experiences. It also increases risks around data access and downtime. What’s more, AI sprawl can also drive increased costs from duplicative licenses, unused technologies, redundant workloads, and compute-intensive projects. 

These factors frequently stall promising AI prototypes due to the difficulties in overcoming the organizational and operational hurdles involved in scaling AI initiatives effectively. Development teams need solutions to orchestrate and operationalize AI at enterprise scale.

Why Clarifai Platform

Clarifai provides an end-to-end, full stack enterprise AI platform to build AI faster, leveraging today's modern AI technologies like cutting-edge Large Language Models (LLMs), Generative AI, Retrieval Augmented Generation (RAG), data labeling, inference, and much more. 

Build & Deploy Faster

Quickly build, deploy, and share AI at scale. Standardize workflows and improve efficiency allowing teams to launch production AI in minutes.

Reduce Development Costs

Eliminate duplicate infrastructure and licensing costs around teams using siloed custom solutions, and standardize and centralize AI for easy access.

Oversight & Security

Ensure you are building AI responsibly with integrated security, guardrails, and role-based access on what data and IP is exposed and used with AI.

Simplify data management Centralize AI resources and app templates Make AI secure—and repeatable Auto-scale compute on-premises or in VPC

Operationalizing AI at Enterprise Scale

Simplify data management
Automate parts labeling and improve visual detection

Integrate data from across sources, automate data labeling, data indexing and reindexing, and global data search using semantic, keyword, visual, or geo-location search.

Centralize AI resources and app templates
Deploy Clarifai anywhere and detect defects faster

Shared AI resource library for AI models, annotations, datasets, and AI application templates, with an intuitive UI, APIs, and SDKs for both no-code and low-code AI workflows.

Make AI secure—and repeatable
Make AI secure—and repeatable

Ensure the credibility of AI with granular RBAC, controlled versioning for models and datasets, audit and lineage tracking, model evaluations and performance observability.

Auto-scale compute on-premises or in VPC
Auto-scale compute on-premises or in VPC

Deploy Clarifai on-prem or in your VPC so that data can stay where it is, and you can run any model with the ability to auto-scale compute. 

Scale your AI with confidence

Clarifai was built to simplify how developers and
teams create, share, and run AI at scale

Forrester
A Leader in Computer Vision: Forrester Wave 2024
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Whitepaper
Establish an AI Operating Model and get out of prototype and into production
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Gen AI
Make sense of the jargon around Generative AI with our glossary
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Build your next AI app, test and tune popular LLMs models, and much more.

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For Developers