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IBM software · AI

AI on your data, with the models you choose. Your price in one business day.

For the teams who have to put AI to work, not just try it: IBM watsonx.ai, set up for your first use case by our engineering team and priced before you commit.

One of our engineers replies within one business day.

IBM’s published customer results are printed below.

IBM watsonx.ai at first lightA line drawing of a model studio screen standing on the horizon, with connected AI models drawn on it and the sun rising behind it. One model, the one that answers, is lit.
IBM watsonx.ai at first lightA line drawing of a model studio screen standing on the horizon, with connected AI models drawn on it and the sun rising behind it. One model, the one that answers, is lit.

One studio, from first model to production.

  • It builds predictive, prescriptive and generative AI in one place.
  • It answers from your own documents, with retrieval-augmented generation.
  • It runs your models where you choose, across hybrid infrastructure.

The tools your team uses today may be serving you well. This is what one studio adds.

We set it up with you. You see your price first, within one business day.

Build the AI your business runs on.

Three ways to build on watsonx.aiThree steps on one line. Predict and plan: forecasting, classification and risk models, with Decision Optimization for planning and scheduling. Answer from your own documents: retrieval-augmented generation. Tune it to the task: prompt engineering, tuning and other ways to fit a model to specialized work.01Predict and planForecasting, classification and riskmodels, with Decision Optimization forplanning and scheduling.02Answer from yourown documentsRetrieval-augmented generation forresponses that are more accurate andeasier to explain.03Tune it to the taskPrompt engineering, tuning and otherways to fit a model to specialized work.PREDICTIVE · PRESCRIPTIVE · GENERATIVEPredictive, prescriptive and generative AI in one studio, as IBM describes watsonx.ai. Source: IBM, ibm.com/products/watsonx-ai (read October 22, 2026).
Three ways to build on watsonx.aiThree steps on one line. Predict and plan: forecasting, classification and risk models, with Decision Optimization for planning and scheduling. Answer from your own documents: retrieval-augmented generation. Tune it to the task: prompt engineering, tuning and other ways to fit a model to specialized work.01Predict and planForecasting, classification and riskmodels, with Decision Optimization forplanning and scheduling.02Answer from your owndocumentsRetrieval-augmented generation forresponses that are more accurate andeasier to explain.03Tune it to the taskPrompt engineering, tuning and otherways to fit a model to specialized work.Predictive, prescriptive and generative AI inone studio, as IBM describes watsonx.ai.Source: IBM, ibm.com/products/watsonx-ai(read October 22, 2026).
Predictive, prescriptive and generative AI in one studio.

Predict and plan.

Forecasting, classification and risk models, with Decision Optimization for planning and scheduling.

Answer from your own documents.

Retrieval-augmented generation for responses that are more accurate and easier to explain.

Tune it to the task.

Prompt engineering, tuning and other ways to fit a model to specialized work.

Source: IBM’s watsonx.ai page, opened October 22, 2026.

Three of IBM’s published results.

watsonx.ai in three of IBM’s published resultsUHCW NHS Trust saw more than 700 additional patients each week without added staff. CrushBank used watsonx.ai and watsonx.data to help IT support teams resolve 40% more help desk tickets per day. UFC scaled insight generation for more than 40 live events, with an estimated 3x increase in insight volume. Each figure is a customer result IBM publishes on its watsonx.ai page. IBM marks UFC’s figures as estimates.700+more patients a weekUHCW NHS Trust, without added staff, IBMreports.40%more help desk tickets resolved adayCrushBank, with watsonx.ai and watsonx.data, IBMreports.40+live eventsUFC scaled insight generation, with an estimated3x increase in insight volume, IBM reports.Each figure is a customer result IBM publishes on its watsonx.ai page. IBM marks UFC’s figures as estimates. Source: IBM, ibm.com/products/watsonx-ai (read October22, 2026).
watsonx.ai in three of IBM’s published resultsUHCW NHS Trust saw more than 700 additional patients each week without added staff. CrushBank used watsonx.ai and watsonx.data to help IT support teams resolve 40% more help desk tickets per day. UFC scaled insight generation for more than 40 live events, with an estimated 3x increase in insight volume. Each figure is a customer result IBM publishes on its watsonx.ai page. IBM marks UFC’s figures as estimates.700+more patients a weekUHCW NHS Trust, without added staff, IBMreports.40%more help desk tickets resolved adayCrushBank, with watsonx.ai and watsonx.data,IBM reports.40+live eventsUFC scaled insight generation, with anestimated 3x increase in insight volume, IBMreports.Each figure is a customer result IBM publisheson its watsonx.ai page. IBM marks UFC’sfigures as estimates.Source: IBM, ibm.com/products/watsonx-ai(read October 22, 2026).
Three of IBM’s published customer results.

700+ more patients a week.

UHCW NHS Trust saw more than 700 additional patients each week without added staff, IBM reports.

40% more tickets resolved a day.

CrushBank used watsonx.ai and watsonx.data to help IT support teams resolve 40% more help desk tickets per day, IBM reports.

40+ live events.

UFC scaled insight generation for more than 40 live events, with an estimated 3x increase in insight volume, IBM reports.

Each figure is a customer result IBM publishes on its watsonx.ai page. IBM marks UFC’s figures as estimates.

Source: IBM’s watsonx.ai page, opened October 22, 2026.

Run it, watch it, keep it current.

The model lifecycle on watsonx.aiThe model lifecycle on one line: build, deploy, monitor and retrain, and back again. IBM says watsonx.ai runs validated models on supported infrastructure, serves AI to your applications and agents, and manages each model from development to monitoring and retraining, with open-source, low-code or pro-code tools.01BuildWith open-source, low-codeor pro-code tools.02DeployValidated models on supportedinfrastructure, served toyour applications and agents.03MonitorEach model managed fromdevelopment to monitoring.04RetrainAnd back again: frommonitoring to retraining.IBM says watsonx.ai runs validated models on supported infrastructure, serves AI to your applications and agents, watsonx Orchestrate among them, and manages eachmodel from development to monitoring and retraining. Source: IBM, ibm.com/products/watsonx-ai (read October 22, 2026).
The model lifecycle on watsonx.aiThe model lifecycle on one line: build, deploy, monitor and retrain, and back again. IBM says watsonx.ai runs validated models on supported infrastructure, serves AI to your applications and agents, and manages each model from development to monitoring and retraining, with open-source, low-code or pro-code tools.01BuildWith open-source, low-code or pro-codetools.02DeployValidated models on supportedinfrastructure, served to yourapplications and agents.03MonitorEach model managed from development tomonitoring.04RetrainAnd back again: from monitoring toretraining.IBM says watsonx.ai runs validated models onsupported infrastructure, serves AI to yourapplications and agents, watsonx Orchestrateamong them, and manages each model fromdevelopment to monitoring and retraining.Source: IBM, ibm.com/products/watsonx-ai(read October 22, 2026).
From first model to retraining, in one place.

IBM says watsonx.ai runs validated models on supported infrastructure, serves AI to your applications and agents, watsonx Orchestrate among them, and manages each model from development to monitoring and retraining, with open-source, low-code or pro-code tools.

Source: IBM’s watsonx.ai page, opened October 22, 2026.

What you get.

If you lead data science.

You get predictive, prescriptive and generative AI in one studio, with the frameworks your team knows and a choice of models. Our engineering team sets it up beside you.

If you build the applications.

You get model endpoints and AI services your applications and agents can call, and answers grounded in your own documents.

If you are the CIO.

You get AI that runs where your data lives, managed from first model to retraining, and the number before you commit. Pay only for what you need. See your price first, within one business day.

You have real choices. Here is each one, plainly.

Keep the tools you have.

Nothing to buy. Nothing to move. What one studio adds will still be here when you are ready.

Buy from IBM itself.

IBM sells directly to fewer than about 100 companies and organizations in the United States. Everyone else buys through an IBM Business Partner. So the real choice is which partner.

Buy through another IBM Business Partner.

Same IBM software. Same IBM programs. Ask three things: who sizes it, how soon you see the price, and who stays with you into production.

Choose a different AI platform.

It can be the right call when your team builds on it everywhere. Compare three things: choice of models, where the models run, and how each one is managed after launch.

Use a cloud provider’s AI service.

Right when the data and the models already live in that one cloud. Not when the data sits in your own data center or across clouds.

Buy it through us.

You get the same IBM software. And you get our engineering team: we help you pick the first use case, show you your price first, and stay with you into production.

IBM builds the studio. We put it to work with you.

You see your price first.

Tell us what you’re after. One business day later you have a price, sized to fit, with nothing in it you don’t need.

Our engineering team owns it.

The engineers who size it set it up and stay through support. IBM Business Partner since 2008, 29 of 29 IBM proficiencies, one team the whole way.

It is our pleasure to meet you.

230 briefing centers in 113 cities. Pick one; one of our engineers brings the coffee. Or meet us online.

Our engineering team helps you choose the models and the plan that fit your first use case, gets the licensing right, and stays with you into production.

It would be our pleasure to start yours.

How our engineering team delivers

How our engineering team deliversFour steps on one line: size it, quote it, set it up, support it. Our engineering team does all four, and you see the price within one business day.01Size itWe size it with you andlicense it correctly.02Quote itYou see the pricewithin one business day.03Set it upWe set it up and staywith you through cutover.04Support itFrom sizing to support,our engineers stay with you.ONE BUSINESS DAYOUR ENGINEERING TEAM
How our engineering team deliversFour steps on one line: size it, quote it, set it up, support it. Our engineering team does all four, and you see the price within one business day.ONE BUSINESS DAYOUR ENGINEERING TEAM01Size itWe size it with you andlicense it correctly.02Quote itYou see the pricewithin one business day.03Set it upWe set it up and staywith you through cutover.04Support itFrom sizing to support,our engineers stay with you.
One of our engineers sizes your IBM solution with you, licenses it correctly, and you see the price within one business day. The same engineering team sets it up and stays with you through cutover.

Get it running.

Our engineering team, with IBM Expert Labs (formerly IBM Lab Services)

Plan.

We look at what you run today and agree the order of work with you. Delivered remotely.

Build.

We design it, install it and move your workloads across, then hand it over working. Delivered remotely.

Stay connected.

After go-live, IBM’s specialists stay on call beside our IBM engineers.

One statement of work and one invoice, from us.

One of our engineers replies within one business day.

How our services work

The proof.

IBM’s published results

90%+accuracy in early risk detection.MyLÚA Health
85%accuracy rate for AI-generated answers, and 50% fewer unanswered customer queries.AddAI
90%less time, by IBM’s estimate, to summarize and analyze legal documents.Blendow Group

Source: IBM’s watsonx.ai page, opened October 22, 2026.

Our trusted and valued customers are shown on our home page. It is our privilege to work for them. See our customers

We would rather tell you now. watsonx.ai is not the fit if you want a ready-made assistant rather than a place to build, or if your AI work lives in one cloud and that cloud’s own service covers it. For assistants and agents your teams can use today, ask us about watsonx Orchestrate. See IBM watsonx Orchestrate

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Software: IBM watsonx.ai

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Our engineering team, with IBM Expert Labs (formerly IBM Lab Services).

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Pay only for what you need. See your price first, within one business day.

One of our engineers replies within one business day.

See IBM in a whole new light.

AI, automation, data and security, made simple by First Light.

All of IBM. None of the fog.

One team sizes it, licenses it, sets it up and supports it.

IBM muscle. First Light hustle.

Enterprise technology, with your quote in one business day.

Give AI the night shift. You take the sunrise.

Build your first IBM watsonx Orchestrate agent in IBM’s own environment, with our engineers alongside.

Trial by sunrise, not by fire.

Try IBM software first, with our engineers alongside.

Let Bob write the code. You take the sunrise.

IBM Bob is your AI engineering partner. Try it first.

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