Access Is Solved.
Accuracy Is Not.
Everyone should be able to connect an AI model to the mainframe. We make sure the answer it gives you is right, and early enough to act on.
We decode and curate the data before the model sees it.
| systemId | peakTime | cpuBusyPct |
|---|---|---|
| LPARA | 02:10 | 41 |
| LPARB | 14:30 | 38 |
| LPARC | 09:05 | 36 |
Features subject to change.
Make every AI answer about the mainframe one you can check, and early enough to act on.
Grounded adj.
What we mean when we say it.
Grounded in the data.
Not in documentation or a model's general knowledge. The answer comes from your own system data, decoded and curated before the model reads it.
States its basis.
Each answer names what it read, the interval it covers and what was checked first, so anyone on the team can check it.
Early enough to act on.
A right answer that arrives after the incident is a post-mortem. Grounded answers come while there is still time to decide.
Five Forces. One Question.
Connecting AI to live mainframe data is now routine. Access means the model can read your systems. Accuracy means you can trust what it tells you, and that is the harder question.
- AI pressure from every boardroom.
- Decades of SMF convention that a model cannot infer.
- The experts with deep system knowledge, who catch a wrong number, are retiring.
- Access to the data is now routine.
- A wrong answer, acted on at machine speed.
Is the answer right?
rate inaccuracy a highly relevant AI risk, ahead of cybersecurity.
McKinsey, State of AI Trust in 2026will let AI complete a code-management action, while 45% call AI a top priority.
BMC Mainframe Survey, September 2026is what the market demands, according to the lead analyst in the category.
Steven Dickens, HyperFRAME, September 2026What a Right Answer Is Worth.
In banking, government and retail, a wrong number has to be explained afterwards. Here is what a right answer means for each team that runs IBM Z.
Say yes to AI on IBM Z without betting on an answer nobody can check.
Take an AI programme for the mainframe to the board that states its basis, not just its confidence.
Stop spending the morning proving an AI answer wrong.
CPU busy kept to its three meanings, sysplex capacity added up as the peak of sums, and capacity warnings that arrive with the cause.
Know when silence means a gap, not a quiet night.
Answers that check collection and coverage first, so a missing feed is never reported as all clear and an incident review starts from dated facts.
Read SMF like someone with thirty years on the platform.
The conventions retiring experts carry in their heads are applied before the model reads the data, so a newer engineer starts from the right number.
Confidence Is Not the Same as Correctness.
AI does not turn bad data into good intelligence. Given poor-quality data, a model hallucinates or draws the wrong inference, and states it with confidence. On the mainframe, the raw feed is full of traps a model cannot infer.
Three Meanings of CPU Busy
Raw feed, example values- LPAR view
- 62%
- Application share
- 48%
- Hardware view
- 71%
Picks one of the three, which differ by tens of points, and never says which.
All three kept distinct, and the answer names which one it used.
Peak of Sums
Raw feed, example values- LPAR A peak
- 41% at 02:10
- LPAR B peak
- 38% at 14:30
- LPAR C peak
- 36% at 09:05
Adds each partition's peak and calls it sysplex capacity. The headroom is fiction.
Aggregated as the peak of summed partition usage.
Old Data Read as Live
Raw feed, example values- CPU busy
- 64%
- Data from
- Monday 06:00, two days ago
- Question asked
- Wednesday 09:00
Reports Monday's 64% as this morning's live CPU busy.
Every reading says when its data is from, here two days ago, so nothing old is passed off as live.
Silence as Good News
Raw feed, example values- Events overnight
- 0
- Collector status
- Stopped
A collector stops. The model sees zero events and reports all clear.
Collection status checked before anything is reported.
Missing Values Read as Numbers
Raw feed, example values- Performance index
- 999999
- MIPS consumption
- −1
Takes 999999 as a real performance index and reports an extreme spike, and takes −1 as real MIPS consumption.
Both are placeholders that mean no value was recorded, so the answer reports the data as missing instead of passing on a number.
Governance proves the action was allowed. Nobody proves the answer was right.
“Confidence is not the same as correctness.” Rebecca Levesque, Chief Technical Officer, 21CS
Can You Find the Error?
Each week we show a real answer an unaided AI model gave on live z/OS data in our internal testing. Find what's wrong, then see the receipt that would have caught it.
Example, unaided model on raw SMF. Replace with the episode 1 transcript.
Would you act on this answer?
The grounded answer. Features subject to change.
The Right Answer About Now. The Right Answer Before the Event.
Two AI products with two distinct jobs. One grounds the assistant you already use. One gives you notice.
Answers You Can Check, From the Assistant You Already Use.
SOLISⁿ decodes and curates live data from z/OS in a streaming pipeline and publishes one endpoint per analytic, so whichever assistant you run reads a finished, scoped number and states its basis.
- Live data from z/OS streaming
- Decode records read correctly
- Curate conventions applied, scoped
- One endpoint per analytic published
- Your assistant answers with its basis
Sysplex capacity
One analytic, one endpoint- BasisPeak of summed usage
- IntervalDated, never assumed current
- CoverageEvery partition reporting
Generally available
See It in Minutes. See It Coming.
OPTIMAⁿ collects SMF in real time on Z, warns against thresholds, explains the cause at the warning stage, and forecasts when a capacity threshold will be hit. A capacity problem becomes a decision, not an emergency.
- Real-time warnings and diagnosis
- Forecasting, chargeback and power reporting
- For capacity planners, performance analysts and heads of mainframe
Threshold warning
Production sysplexCause at warning stage: batch window overlapping online peak
Forecast
When the capacity threshold is hit- Understanding your question
- Writing the query
Features subject to change.
An Answer Is Only as Good as the Environment It Describes.
Before you trust an answer about your estate, the estate has to be stable. These are the products built for it.
Every change to protected libraries recorded, versioned and restorable. When libraries change with no record, any answer about them is a guess.
Control your data
Every number an AI reads comes from stored data. Move it to new storage or the cloud, intact, in your control, with no downtime.
Migrate without downtimeEvery job checked before it runs, so overnight abends don't turn into morning clean-up.
Catch JCL errors firstTalk to the People Who Build It.
Josh, Kaili and Holden are at Whittlebury Hall from 2 to 5 November. Bring a real question about your own system data, and they will walk you through how the answer is reached.
Ask how the data is decoded and curated before the model reads it, and how we test whether the answer is right.
Ask about the SOLISⁿ design-partner programme and what working with us on your own data looks like.
Ask how SOLISⁿ is built, from the streaming pipeline to the endpoint your assistant reads.
Bring Us Your Hardest Capacity Question.
Watch OPTIMAⁿ answer it on a live system, with the basis shown.
STRATUSn
Break Your Mainframe Data Out of the Silo
Simplify z/OS data integration with the cloud provider you already trust: no new servers, no surprises.
Investing In The Future
Data Storage Reimagined for Efficiency and Impact
STRATUSn is a native z/OS application that transforms mainframe data management. While others struggle with complex servers and costly tape storage, you can move data seamlessly to any S3-compatible cloud. Built for the modern mainframe professional, STRATUSn uses familiar industry-standard APIs, making your platform as agile as your business.
Why STRATUSn Is Different
Making Mainframe Innovation Simple
We're not just talking about modernization; we're delivering the tools that make it happen.
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Video Overview Headline
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Turning Storage Nightmares into Cloud Success
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The Challenge
Drowning in Tape Storage Costs
"We're maintaining rooms full of tape drives for data we rarely access, but regulations require us to keep it for 7-10 years. The hardware maintenance alone is killing our budget, not to mention the floor space we're wasting."
The Solution
STRATUSn moves your archived data to cloud object storage at just pennies per gigabyte—typically reducing storage costs by 70%. No more tape hardware to maintain, no more floor space to waste. Your data remains fully accessible and compliant, with the mainframe maintaining complete control over retrieval when you need it.
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The Challenge
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"We're maintaining rooms full of tape drives for data we rarely access, but regulations require us to keep it for 7-10 years. The hardware maintenance alone is killing our budget, not to mention the floor space we're wasting."
The Solution
STRATUSn moves your archived data to cloud object storage at just pennies per gigabyte—typically reducing storage costs by 70%. No more tape hardware to maintain, no more floor space to waste. Your data remains fully accessible and compliant, with the mainframe maintaining complete control over retrieval when you need it.
-
The Challenge
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"We're maintaining rooms full of tape drives for data we rarely access, but regulations require us to keep it for 7-10 years. The hardware maintenance alone is killing our budget, not to mention the floor space we're wasted."
The Solution
STRATUSn moves your archived data to cloud object storage at just pennies per gigabyte—typically reducing storage costs by 70%. No more tape hardware to maintain, no more floor space to waste. Your data remains fully accessible and compliant, with the mainframe maintaining complete control over retrieval when you need it.
-
The Challenge
Adipiscing Elit
"We're maintaining rooms full of tape drives for data we rarely access, but regulations require us to keep it for 7-10 years. The hardware maintenance alone is killing our budget, not to mention the floor space we're wasted."
The Solution
STRATUSn moves your archived data to cloud object storage at just pennies per gigabyte—typically reducing storage costs by 70%. No more tape hardware to maintain, no more floor space to waste. Your data remains fully accessible and compliant, with the mainframe maintaining complete control over retrieval when you need it.
Ready to get started?
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STRATUSn Adapts to Your Enterprise Architecture
Whether you're protecting critical financial data or sharing information across sysplexes, STRATUSn integrates seamlessly with your existing infrastructure.
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STRATUSn eliminates storage pain points and unleashes new data potential.
- Archive ML2 tape data to cost-effective cloud storage
- Create immutable backup copies for disaster recovery
- Share static data across development, test, and production environments
- Enable enterprise-wide access to mainframe data for analytics
- Meet Sheltered Harbor compliance with protected data vaults
STRATUSn eliminates storage pain points and unleashes new data potential.
- Archive ML2 tape data to cost-effective cloud storage
- Create immutable backup copies for disaster recovery
- Share static data across development, test, and production environments
- Enable enterprise-wide access to mainframe data for analytics
- Meet Sheltered Harbor compliance with protected data vaults
STRATUSn eliminates storage pain points and unleashes new data potential.
- Archive ML2 tape data to cost-effective cloud storage
- Create immutable backup copies for disaster recovery
- Share static data across development, test, and production environments
- Enable enterprise-wide access to mainframe data for analytics
- Meet Sheltered Harbor compliance with protected data vaults
Product Specifications
| 21CS Product Name | Current GA Release | IBM Product Name |
|---|---|---|
| Newly Released Products: Q4 / 2022 | ||
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| Newly Released Products: Q4 / 2022 | ||
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Supported Hardware
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Supported Hardware
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Supported Hardware
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Product Specifications
| 21CS Product Name | Current GA Release | IBM Product Name |
|---|---|---|
| Newly Released Products: Q4 / 2022 | ||
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| Newly Released Products: Q4 / 2022 | ||
| Lorem Ipsum | 6.7 | dolor |
| Lorem Ipsum | 6.7 | dolor |
| Lorem Ipsum | 6.7 | dolor |
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Discover Your STRATUSn Savings
Learn how STRATUSn saves on storage, simplifies your systems, and prepares your mainframe for the next generation.