Predictika · KLA inspection, review and metrology quotes

An AI sales agent's KLA tool quote, checked before it goes out

An AI sales agent prepares a quote for wafer inspection, e-beam review or overlay metrology tools, with sensitivity package, handler, Klarity and service. Before it goes out, the agent sends it to Predictika, which checks the tool against the customer's process node, throughput requirement, destination and delivery date, compares the total and the throughput the quote states with the computed ones, and returns every finding together with the line-item quote. This is an illustrative model built from public product information with invented prices and throughputs; it is not KLA's internal rule set.

Scope: KLA wafer inspection, e-beam review and overlay metrology tools: the 29xx and 39xx broadband inspectors, Puma, Surfscan SP7, eDR7xxx e-beam review and Archer overlay metrology, with sensitivity package, handler, Klarity and service. See everything this validator covers

This validator models one tool set: the KLA 29xx and 39xx broadband patterned inspectors, Puma, Surfscan SP7, eDR7xxx e-beam review and Archer overlay metrology, quoted with the high-sensitivity package, a 2-port or 4-port handler, Klarity defect data management and a service plan. It handles any quote involving these tools, not only the scenarios shown on this page.

Covered: tool fit — each tool's smallest supported process node, the high-sensitivity package (inspectors only), which cuts throughput and adds to the price, and the throughput of the whole fleet against what the customer requires.
Covered: handling and prerequisites — the 4-load-port handler for tools above a throughput threshold, Klarity defect data management for fleets of 3 or more tools, and an inspector on site for e-beam review.
Covered: export, service and delivery — export-controlled tools blocked, and any restricted destination sent for trade-compliance review; Premium service needing a term of at least 2 years and service terms of 1 to 5 years; tool lead time against the customer's need-by date; and discount authority, which is higher for fleets of 3 or more tools.
Covered: the quote itself — the line-item quote, and the total and fleet throughput the agent states, which must match what the validator computes.
Not covered — other KLA product lines and tools outside this set, software sold on its own, spares and training, which specific inspector model must accompany a review tool (the model only requires that an inspector is on site), financing and tax. Other areas can be added.
Labeled as assumptions — every price, throughput, minimum process node, lead time, export-control flag, service rate, handler and Klarity price, and discount limit is an invented illustrative value, not KLA data.

The AI sales agentBuilds the KLA tool quote from the conversation and says it is ready.

Predictika validatorChecks every rule at once and returns the verdict, each finding, and the computed figures.

6 scenarios in 3 groups · each group runs from the agent’s first attempt to the outcome · click one to switch

What the agent proposes

The AI sales agent says

Illustrative agent statement. The validator receives the structured request below.

Proposing agent: AI sales agent (scripted)

Before sending, the agent must call Recorded run

Predictika validator

Waiting for the call.

What this means

Run the validator to see the outcome

The explanation appears here once the validator returns.

Where rules-based CPQ gets it wrong

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Our assessment of what a typical rules-based CPQ (product rules, price rules and validation rules, as in Salesforce CPQ) does with the same cases. It is a judgment about effort and reliability, not a claim that nothing can be built.

What the validator caught	Typical rules-based CPQ	Predictika
A tool change that moves the process node, lead time, throughput, Klarity and handler limits	Only with workarounds Changing the tool changes the process node it supports, its lead time, its throughput and whether the handler is needed. Each limit is its own rule that must read the new tool and the package together, and one that is missed lets through a quote that no longer fits.	The tool, package, handler and fleet size are read together on every call, so a change in one is checked against all the others.
A package that changes throughput, which then drives the handler and the fleet check	Only with workarounds The high-sensitivity package cuts wafers per hour, and that figure decides both the handler and whether the fleet meets the requirement. In a CPQ it takes custom throughput fields and a chain of rules, and a missed step lets a fleet that is too slow through.	Throughput after the package is computed once; the handler threshold and the fleet check both read it.
Klarity and the discount ceiling that depend on fleet size	Only with care Validation rules that read the total quantity are possible, but each prerequisite and each ceiling is its own rule that someone has to write and keep in step.	Fleet size is part of the model, so Klarity and the discount ceiling change together.
E-beam review that needs an inspector at the customer site	Only with workarounds The inspector installed at the site is not on the quote, so the rule needs data from outside the order, usually a lookup that is built and maintained separately.	Whether an inspector is on site travels with the quote and is checked on every call.
Export-controlled tool to a restricted destination, versus a tool that only needs review	Only with care Possible with a pair of rules per destination, but it is easy to block everything or to wave through a tool that should have been stopped.	The tool and the destination are compared; one is a block, the other an approval, and both are reported.
A stated total or throughput that does not match the computed figure	Only with care A validation rule can compare a stated figure with a calculated field, but only if the stated figure is a field on the quote, which it rarely is.	Both stated figures travel with the quote and are compared with the computed ones on every call.

What this validator catches: findings from its test cases

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Every rule is checked on every call, in any order the choices arrive; one problem never hides another. Blocking findings stop the quote; approval findings need a person to sign off; everything else is computed.

1	3 tools at 60 wafers per hour each deliver 180 wafers per hour, short of the 200 required.
2	90 wafers per hour per tool needs the 4-load-port handler.
3	A discount of 12 percent is above the 5 percent an agent may give alone.
4	A discount of 16 percent is above the 15 percent maximum for this quantity.
5	E-beam review needs an inspector at the customer site to supply defect locations.
6	Fleets of 3 or more tools require Klarity defect data management.
7	Premium service requires a term of at least 2 years; 1 year was proposed.
8	Service terms run from 1 to 5 years; 6 years was proposed.
9	Stated fleet throughput does not match: the agent stated 200 wafers per hour; the validator computes 180.
10	Stated total does not match: the agent stated $11,047,800.00; the validator computes $11,042,800.00.
11	The 29xx broadband patterned inspector supports process nodes of 10 nm and above; the customer process is 5 nm.
12	The 39xx broadband plasma patterned inspector lead time is about 40 weeks; the customer needs it in 30.
13	The Surfscan SP7 unpatterned inspector is export-controlled and cannot ship to a restricted destination.
14	The destination is export-restricted; trade-compliance license review is required before this order can ship.
15	The high-sensitivity package applies to inspectors only, not to the Archer overlay metrology.

Scenarios and results

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The recorded result of the validator for each scenario on this page: the request the AI agent sent, the verdict, and every finding, in the order they appear above.

1. Fleet, node, service and delivery: Pumas for a 7 nm line, high sensitivity

The agent's request. Please quote three Puma laser scanning patterned inspectors with the high-sensitivity package for Brightwater Memory's 7 nm line, with the 2-load-port handler and 1 year of Premium service. The fleet needs to deliver 200 wafers per hour in total, and the customer needs it in 20 weeks. We are offering a 5 percent discount. The quote states a total of $33,889,350.00 and a fleet throughput of 200 wafers per hour. It is ready to send.

Verdict: Blocked.

Tool does not support the process node. The Puma laser scanning patterned inspector supports process nodes of 10 nm and above; the customer process is 7 nm.
Fleet too slow for the requirement. 3 tools at 60 wafers per hour each deliver 180 wafers per hour, short of the 200 required.
Klarity required for 3 or more tools. Fleets of 3 or more tools require Klarity defect data management.
Premium service term too short. Premium service requires a term of at least 2 years; 1 year was proposed.
Lead time longer than needed. The Puma laser scanning patterned inspector lead time is about 24 weeks; the customer needs it in 20.
Stated throughput does not match. Stated fleet throughput does not match: the agent stated 200 wafers per hour; the validator computes 180.

2. Fleet, node, service and delivery: Moved to the Surfscan SP7

The agent's request. Please quote three Surfscan SP7 unpatterned inspectors with the high-sensitivity package for Brightwater Memory's 7 nm line, with the 2-load-port handler, Klarity defect data management and 2 years of Premium service. The fleet needs to deliver 200 wafers per hour in total, and the customer needs it in 26 weeks. We are offering a 5 percent discount. The quote states a total of $29,484,200.00 and a fleet throughput of 216 wafers per hour. It is ready to send.

Verdict: Blocked.

4-load-port handler needed. 72 wafers per hour per tool needs the 4-load-port handler.

3. Fleet, node, service and delivery: Adds the 4-load-port handler

The agent's request. Please quote three Surfscan SP7 unpatterned inspectors with the high-sensitivity package for Brightwater Memory's 7 nm line, with the 4-load-port handler, Klarity defect data management and 2 years of Premium service. The fleet needs to deliver 200 wafers per hour in total, and the customer needs it in 26 weeks. We are offering a 5 percent discount. The quote states a total of $30,196,700.00 and a fleet throughput of 216 wafers per hour. It is ready to send.

Verdict: Allowed.

Quote summary. Total $30,196,700.00: tools $22,200,000.00; option $3,330,000.00; handler $750,000.00; software $400,000.00; service $5,106,000.00; discount $-1,589,300.00.

4. Export control and service term: SP7 to a restricted destination

The agent's request. Please quote one Surfscan SP7 unpatterned inspector for Kestrel Devices' 5 nm line, shipping to a restricted destination, with the 4-load-port handler and 1 year of Premium service. The fleet needs to deliver 100 wafers per hour in total, and the customer needs it in 32 weeks. We are offering a 5 percent discount. The quote states a total of $7,970,500.00 and a fleet throughput of 120 wafers per hour. It is ready to send.

Verdict: Blocked.

Export-controlled tool. The Surfscan SP7 unpatterned inspector is export-controlled and cannot ship to a restricted destination.
Premium service term too short. Premium service requires a term of at least 2 years; 1 year was proposed.
Export review needed. The destination is export-restricted; trade-compliance license review is required before this order can ship.

5. Export control and service term: Puma instead, 2-year Premium

The agent's request. Please quote one Puma laser scanning patterned inspector for Kestrel Devices' 14 nm line, shipping to a restricted destination, with the 4-load-port handler and 2 years of Premium service. The fleet needs to deliver 80 wafers per hour in total, and the customer needs it in 30 weeks. We are offering a 5 percent discount. The quote states a total of $10,953,500.00 and a fleet throughput of 100 wafers per hour. It is ready to send.

Verdict: Needs approval.

Export review needed. The destination is export-restricted; trade-compliance license review is required before this order can ship.
Quote summary. Total $10,953,500.00: tools $9,400,000.00; handler $250,000.00; service $1,880,000.00; discount $-576,500.00.

6. Lead time and discount: 39xx in 30 weeks at 16 percent

The agent's request. Please quote one 39xx broadband plasma patterned inspector for Orrin Labs' 3 nm line, with the 2-load-port handler and 3 years of Standard service. The fleet needs to deliver 40 wafers per hour in total, and the customer needs it in 30 weeks. We are offering a 16 percent discount. The quote states a total of $22,360,800.00 and a fleet throughput of 40 wafers per hour. It is ready to send.

Verdict: Blocked.

Lead time longer than needed. The 39xx broadband plasma patterned inspector lead time is about 40 weeks; the customer needs it in 30.
Discount above the maximum. A discount of 16 percent is above the 15 percent maximum for this quantity.

Narration transcript

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The text of the narrated walkthrough, step by step.

Welcome to a demo of Predictika's Validator. An AI sales agent prepares a quote for wafer inspection, e-beam review or overlay metrology tools, with sensitivity package, handler, Klarity and service. Before it goes out, the agent sends it to Predictika, which checks the tool against the customer's process node, throughput requirement, destination and delivery date, compares the total and the throughput the quote states with the computed ones, and returns every finding together with the line-item quote. This is an illustrative model built from public product information with invented prices and throughputs; it is not KLA's internal rule set.
I will start with the first request by the agent.
The agent says. Please quote three Puma laser scanning patterned inspectors with the high-sensitivity package for Brightwater Memory's 7 nm line, with the 2-load-port handler and 1 year of Premium service. The fleet needs to deliver 200 wafers per hour in total, and the customer needs it in 20 weeks. The rest of the request is on screen. The quote states a total of $33,889,350.00 and a fleet throughput of 200 wafers per hour.
Before it goes out, the agent calls the validator.
Blocked, with six findings, all in one answer. The Puma laser scanning patterned inspector supports process nodes of 10 nm and above; the customer process is 7 nm. 3 tools at 60 wafers per hour each deliver 180 wafers per hour, short of the 200 required. Fleets of 3 or more tools require Klarity defect data management. The other three are on screen.
The validator returned six blocking findings in one answer. A check that reads one field at a time would pass most of this; it shows only when the choices in the quote are checked against each other.
What this shows: for a tool change that moves the process node, lead time, throughput, Klarity and handler limits, a rules-based CPQ can do this only with workarounds.
Now the agent resubmits.
The corrected request. It changes the tool to Surfscan SP7 unpatterned inspector, the service term to 2 years, the needed in to 26 weeks, the stated fleet throughput to 216 wafers per hour and the stated total to $29,484,200. It sets the klarity to yes.
It calls the validator again.
Still blocked, with one finding, all in one answer. 72 wafers per hour per tool needs the 4-load-port handler.
Six findings cleared, but the change brings a different blocking finding: 4-load-port handler needed.
The agent resubmits once more.
The revised request. It changes the handler to 4-load-port and the stated total to $30,196,700.
It calls the validator once more.
This time the validator clears it.
The validator also returns the line-item quote. It starts with Surfscan SP7 unpatterned inspector and High-sensitivity package; the other four lines are on screen.
The earlier finding is cleared, and the validator's total, $30,196,700.00, matches the quote.
Six problems caught in one call, fixed in two passes, and a clean $30,196,700 quote. That is the value of Predictika's validator: catching mistakes before they reach the customer.