Public wedge
Public UF200 portal overview
A live external entry point already exists. The UI is still Chinese-facing today, while this homepage keeps the English proof summary and platform framing.
Built from real workflows
The AI Expert Brain for Semiconductor Equipment Engineering
Built from real service workflows, manuals, logs, and field cases. Starting with UF200. Expanding across probers, ATE, and fab-side workflows.
Live wedge. Versioned runtime. Human-reviewed path.
PROBING-AI turns expert judgement chains and service knowledge into deployable expert systems. It narrows the problem first, then moves engineers to the next best inspection path.
UF200 public portal currently opens in Chinese. This page stays English-first as the proof summary.
Public UF200 portal live
A real external entry point exists today.
Versioned expert runtime
Runtime, prompts, bundles, and sync markers are versioned.
Human-in-the-loop
Engineers stay inside review, escalation, and final judgement loops.
Private / on-prem path
Designed for enterprise-safe deployment boundaries.
Multilingual knowledge
Manuals, logs, and field knowledge do not live in one language.
How it works in practice
A live wedge, not a concept.
The core value is not “give a long answer.” It is “narrow first, inspect next.” A representative UF200 flow looks like this.
1
Symptom intake
Loader initialization / alignment hold
The issue enters as an engineering symptom, alarm, or maintenance complaint, not as a generic chat prompt.
2
Follow-up questions
When does it fail, and what changed?
The system asks the shortest clarifying questions first: before pickup, after visibility, after alignment, after recovery, or after a data change.
3
Fault narrowing
Separate correction data, sensor chain, visibility path
Instead of forcing a generic failure tree, the system narrows the likely path and reduces unnecessary inspection loops.
4
First checks
Move to the next best inspection path
Check current device and correction data, sensor state, visibility chain, and reference consistency before going wider.
This is the point of the system: it does not start with a long conclusion. It starts by getting the inspection path right.
What makes this real
Already operating as a real system.
The public UF200 wedge already shows real product shape: a visible entry point, versioned runtime surface, and operating boundaries that go beyond a chat demo.
Runtime proof
Versioned runtime surface
Engine version, bundle version, prompt version, runtime marker, and sync time are visible on the public-facing surface.
Product boundary
Product-shaped operating boundary
Account, points, session, order, and admin-related flows are visible as part of a bounded public system, not a free-form demo.
Public proof now. Enterprise-safe path next.
Why this matters
The problem is operational, not theoretical.
Semiconductor equipment engineering does not lack documents. It lacks a scalable way to turn scattered knowledge into the next correct action under time pressure.
Knowledge is fragmented
Manuals can run thousands of pages. Logs, cases, SOPs, and service notes live in different places. Field knowledge spans multiple languages.
Senior judgement does not scale
Strong equipment engineers take years to train. The best troubleshooting paths often live in a few heads, not in a reusable system.
Downtime and support loops are expensive
Once troubleshooting loops expand, cost escalates fast from tool-level delay to line-level impact. Remote support loses time reconstructing context.
What we built
An expert system and decision layer. Not a chatbot wrapper.
The product direction is simple: turn manuals, logs, cases, and field service knowledge into operational reasoning that moves engineers toward the next best inspection path.
Knowledge layer
Manuals, logs, cases, and multilingual service material become structured engineering knowledge.
Reasoning layer
The system narrows likely causes and decides what should be inspected next.
Workflow layer
Human-reviewed diagnosis, escalation, and support workflows turn reasoning into operating action.
Why UF200 first
UF200 is not the market ceiling. It is the proving ground for the method.
The wedge strategy matters because it explains both the entry point and the platform direction. UF200 is where the method is concrete enough to prove, and adjacent enough to generalize.
Why UF200 is the right entry point
It is a high-value engineering workflow with dense knowledge, recurring field issues, and clear support pressure.
What UF200 proves
It proves that expert judgement chains can be turned into a live system with product boundaries, review loops, and operational versioning.
Why the method generalizes
The same knowledge and workflow architecture can extend into more probers, 93K / ATE, and wider semiconductor equipment workflows.
From UF200 to ATE
Platform expansion with adjacency.
Adjacent expansion, not random expansion.
The company direction is not “one equipment expert forever.” It is an equipment intelligence layer that starts with one live wedge and expands where the method still fits.
1
UF200
Live wedge. Real engineering conversations. Real workflow proof.
2
More probers
Adjacent probe and handler workflows where the same expert method applies.
3
93K / ATE
Expansion from equipment-side diagnosis into tester and validation-side engineering work.
4
Broader fab-side workflows
Toward a broader semiconductor equipment intelligence layer and the path to the AI OS for Fabs.
Trust / deployment
Operational trust, not demo trust.
Enterprise adoption depends on boundaries, review loops, and deployment shape. The platform has to respect real equipment environments from day one.
Born from real workflows
The system comes out of actual service and support practice, not generic AI showcase work.
Human-in-the-loop
Final engineering judgement stays with people. The system is designed to assist, not bypass, that process.
Private / on-prem
The deployment direction supports customers that need controlled boundaries and equipment-facing ownership.
Multilingual knowledge
Field reality spans multiple languages across manuals, logs, service notes, and engineering context.
Public portal / enterprise-safe path
The public wedge demonstrates usability. The long path is enterprise-safe deployment, not public-only trial forever.
The wedge is live. The platform direction is clear.
If you want to review fit for equipment engineering, remote support, training, or adjacent fab-side workflows, start with a technical conversation.
The UF200 public portal currently opens in Chinese. This homepage remains the English proof summary.