IBM watsonx.ai

Build and run predictive, prescriptive and generative AI with choice across models, frameworks and hybrid infrastructure

Overview

Turn AI into measurable business advantage

Enterprises gain value from AI by combining predictive, prescriptive and generative AI. IBM watsonx.ai unites machine learning, Decision Optimization and generative AI from Red Hat AI Enterprise, applying the right intelligence to every decision and scaling innovation with speed, choice and control over models, frameworks and hybrid infrastructure.

  • Extend established machine learning and optimization workloads with generative AI without creating a separate AI strategy or technology stack.
  • Use predictive AI, Decision Optimization and generative AI together to apply the right intelligence to each business decision.
  • Choose the models, frameworks and hybrid infrastructure that fit each workload without locking into a single provider or technology ecosystem.

Features

Turn AI capabilities into production-ready business value

Develop machine learning models for forecasting, classification, risk and analytics, and use Decision Optimization to improve planning, scheduling and resource allocation.

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Build RAG applications that retrieve relevant business context and use it to generate more accurate, useful and explainable responses.

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Use prompt engineering, tuning and other customization techniques to adapt models to specialized tasks, organizational knowledge and domain requirements.

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Run validated models on supported hardware and infrastructure, with production inference designed for performance and scale across hybrid environments.

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Use open-source, low-code and pro-code approaches across development, deployment, monitoring and retraining so teams can move from experimentation to repeatable production use.

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Create and deploy AI services and model endpoints that can be integrated into enterprise applications and agent experiences, including watsonx Orchestrate.

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Use cases

Build, customize and run AI for enterprise workloads

Get one-stop access to capabilities that span the AI development lifecycle with built-in performance and scalability.

Predict business outcomes

Build forecasting, classification, risk, anomaly-detection and predictive-maintenance models using enterprise data.

Optimize complex decisions

Use Decision Optimization to improve planning, scheduling, supply-chain decisions and resource allocation under real business constraints.

Enterprise RAG and search
Unlock enterprise knowledge with watsonx.data to retrieve governed context for search and RAG, and use watsonx.ai to deliver accurate, context-aware answers.
Customize AI for specialized domains
Adapt models to industry terminology, organizational knowledge and task-specific requirements using prompting, RAG and tuning techniques.
Optimize operations

Improve planning, scheduling, supply-chain decisions and resource allocation using decision optimization.

Deliver models and AI services at scale

Expose model endpoints and AI services through consistent enterprise APIs so application teams can reuse AI capabilities across workloads.

Extend AI into enterprise agents

Use models and AI services from watsonx.ai as building blocks for agentic applications, and connect them with watsonx Orchestrate when workflows require enterprise-wide multi-agent orchestration.

Case studies

Real clients. Real results.

AddAI

AddAI used IBM watsonx.ai to deliver more accurate, knowledgeable AI assistants while reducing unanswered customer queries.

85%
accuracy rate for AI-generated answers
50%
reduction in unanswered customer queries
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Pricing

watsonx.ai pricing

Explore the pricing tiers for our trial, essentials and standard plans on IBM® watsonx.ai®.

See pricing
Take the next step

See how watsonx.ai can help your organization build on existing AI investments, adopt new generative AI capabilities and run enterprise AI across hybrid environments.

  1. Start free trial
  2. Book live demo