ENGINEERING AI / GLOBAL PARTNERS & INVESTORS

Bring Engineering AI to your customers.

MST welcomes partners worldwide who work with industrial equipment-design teams. Help customers generate 3D models from 2D CAD drawings and build native SOLIDWORKS equipment assemblies using their approved parts.

Concept illustration of a semiconductor equipment engineering compiler extending to adjacent industrial equipment classes
Concept illustration — semiconductor process equipment is the current wedge; adjacent domains require their own validated rules and evidence.

GLOBAL PARTNER INVITATION

Build an Engineering AI offering around your customers’ work.

We are looking for CAD/PDM resellers, engineering service providers, consultants and training organizations that understand equipment design. Tell us the countries, languages and industries you serve, and the contribution you want to make.

Our equipment-assembly workflow focuses on semiconductor gas-equipment design teams using SOLIDWORKS and their own approved component models. Drawing reconstruction also serves equipment companies and design teams working from existing 2D CAD drawings. We assess each proposed task together.

CHANNEL & REFERRAL

Introduce a relevant customer.

For CAD resellers, industry consultants and equipment specialists. Add an Engineering AI conversation to the customer relationships you already have, and explore a referral or resale arrangement.

A first step: introduce one non-confidential design problem and join a product demo with the customer’s engineering team.

IMPLEMENTATION & INTEGRATION

Help a customer put it to work.

For PDM/PLM integrators and engineering service teams. Explore separately scoped model-library preparation, customer coordination, deployment, onboarding and training services alongside MST software.

A first step: review one equipment task, the customer’s existing models and the proposed delivery responsibilities.

TRAINING & JOINT DEMONSTRATIONS

Bring a useful example to engineers.

For trainers, engineering communities and industry organizations. Explore a joint webinar, practical tutorial or approved case that helps your audience evaluate Engineering AI.

A first step: choose one public product example and propose an audience, format and session topic.

Introduce your organization

A PRACTICAL FIRST PROJECT

Start with one task. Agree how to deliver it together.

MST contributes the software, product demonstrations and technical fit review. Partners contribute customer access, local context or agreed engineering services. Together, start with the customer’s delivery quality, total cost and schedule objectives. The customer supplies the inputs and retains engineering acceptance.

For assembly work, the customer prepares the model library already in its own PDM for MST to import and use. Cloud customers receive team accounts from MST; private deployment combines an enterprise license with implementation fees.

Referral or resale terms, service fees, customer responsibilities and support scope are agreed in writing for the proposed cooperation. Submitting an inquiry starts a discussion; it does not appoint an authorized reseller or grant a territory.

Review deployment and implementation

  1. Introduce your team and market.

    Share your company website, country or region, customer industries and proposed role. Describe one customer task or a joint demonstration idea without confidential drawings or customer files.

  2. Review the product together.

    Use the public examples and English presentation guide to prepare a joint demo. Identify the required inputs, expected output and the engineering review needed for a relevant customer evaluation.

  3. Scope the first engagement.

    Agree the customer introduction, evaluation or educational session, with named responsibilities and success criteria. Set commercial and delivery terms before starting customer work.

Discuss a first joint project

INTRODUCE MST

Bring a clear product story to your network.

Use the English partner guide to present an example native SOLIDWORKS assembly built through the MST pipeline (P&ID recognition, connection graph and gas-line-driven part selection), explain who the product serves and prepare a useful first conversation. Read online or download the PDF.

Get the partner presentation guide

See 2D CAD drawings become 3D models

Inspect the P&ID and 3D review example

FOR INVESTORS / THE PRODUCT AND THE BUSINESS

Turn repeated engineering work into a software workflow.

See public evidence

Customer work

Equipment-design teams reconstruct models from existing drawings, reuse approved parts, and revise layouts and assemblies. MST targets these repeated tasks with engineering outputs the team can inspect and continue developing.

Explore the product and working examples →

Enterprise delivery

Customers can choose cloud access or private deployment. Private deployment combines an enterprise license with implementation fees. For equipment assembly, customers prepare their existing PDM model library for MST to import into the agreed workflow.

Review deployment and commercial scope →

A product that can expand

The product now includes both drawing-to-model generation and equipment assembly. The expansion path is to apply reusable engineering capabilities to further customer tasks, with the required models, rules and validation for each application.

See the new drawing-reconstruction module →

Evidence for the business case

Evaluate modeling time, manual steps and corrections after review on a representative task. Customer adoption, paid usage, implementation effort and repeatability across deployments are separate commercial diligence questions.

Discuss the product and commercial milestones →

EVIDENCE STATUS

Know what is documented, validated, demonstrated and not claimed.

The status of each claim matters more than the number of claims. Public documentation, MST-validated diligence material, public demonstration and non-claims remain separate.

PUBLICLY DOCUMENTED

Product scope, architecture and legal operator

Public material documents that MOORE SOLUTION TECHNOLOGY PTE. LTD. operates MST Engineering Intelligence. It describes the current controlled scope, system architecture, customer-authority boundary and intended deployment model. Documentation is not independent proof of a product run or field deployment.

Inspect the product contract →
MST-VALIDATED — AVAILABLE UNDER QUALIFIED DILIGENCE

Native run evidence and refusal cases

MST-validated material available to qualified reviewers may include a fresh native SolidWorks run, a new .SLDASM, realized mates, reopen and read-back facts, refusal cases, benchmark taxonomy, deployment architecture and IP/data-flow review.

Request technical diligence →
PUBLIC RUN ARCHIVE

Manifest-backed packages, not marketing inference

The public evidence method requires run identity, input and plan hashes, a native assembly, reopen/read-back facts, an oracle verdict, a negative control and engineer review. The machine-readable registry preserves run-level history separately from product positioning.

Review the verification method →
NOT PUBLICLY CLAIMED

No universal autonomy or guaranteed ROI

MST does not publicly claim customer endorsement, quantified ROI, arbitrary whole-machine autonomy, universal CAD/PDM support, third-party certification or autonomous production release outside customer authority.

Review refusal and benchmark gates →

Public claim boundary: MST publishes its implemented controlled capability separately from run-level evidence. A positive public-run claim requires a complete manifest-backed PASS package. MST does not currently publish a customer field-deployment claim or endorsement.

01 / WHY THIS WEDGE

Align the acceptance unit with the engineering result.

AI usage can be billed before operating value is proven. MST closes that gap by organizing acceptance around a frozen engineering obligation: native artifact, post-execution evidence, review cost and explicit refusal—not token volume alone.

Read the outcome-accountable industrial AI thesis

  1. High-cost expert workflow

    Process-equipment assembly requires scarce multidisciplinary knowledge and repeated translation between document, BOM, geometry and CAD.

  2. Existing qualified assets

    Customers already own validated components and rules. The product turns those assets into a controlled automation advantage.

  3. A falsifiable output

    A native SolidWorks assembly, realized mates and Oracle verdicts can be challenged by engineering teams during diligence.

Expansion logic

Start where evidence is hardest. Expand through the kernel.

The long-term opportunity is not limited to semiconductor equipment. The reusable kernel—document understanding, engineering truth, native asset binding, constraint solving, execution and deterministic verification—can support adjacent industrial design domains only after each domain earns its own rules and evidence.

CURRENT BOUNDED SCOPE

Semiconductor process equipment

Modular assemblies using controlled P&ID, BOM, Rulepack and component libraries.

ADJACENT HYPOTHESIS

Adjacent fluid and automation modules

Domains that share typed interfaces, qualified parts and auditable assembly rules.

EVIDENCE REQUIRED

Broader industrial design

Expanded only through validated domain packs—not through a universal-design claim.

02 / DILIGENCE

What serious reviewers should ask to see.

The initial website establishes discoverability. Deeper diligence is granted selectively and separates public evidence from customer-confidential material.

Strategic fit

Inspect the evidence before the pitch.

Equipment makers, industrial software partners and qualified investors can request the technical evidence package or a live engineering challenge.

Operated by MOORE SOLUTION TECHNOLOGY PTE. LTD. · Singapore UEN 202315239E