Question 1

What does METOMOS solve?

Accepted Answer

METOMOS is an Engineering Information Platform that reduces the way design drawings, quantities, bills of quantities, schedules, costs and construction or operations information break apart between tools and get re-entered again and again. It links the same engineering object through a stable identity and reference, and manages rules, evidence and change history alongside it, so that many outputs can be reused consistently. Detailed generation algorithms and data structures are not disclosed, to protect patents.

Question 2

How is METOMOS different from BIM or project-management software?

Accepted Answer

The goal is not to replace every BIM authoring tool or schedule and cost product. The modeling, calculation and business functions each tool does well are kept; METOMOS connects what lies between them — Engineering Identity, Rules, Evidence and Version/Lineage. In other words, integration is not unification: it means references without duplication, and consistency that is maintained.

Question 3

What is Engineering Ground Truth?

Accepted Answer

Engineering Ground Truth is not “a truth that can never be wrong.” It is reproducible engineering reference information whose source, rules, formulas, units and verification evidence can be traced. It must be possible to see which inputs and judgments produced a given result, and it is kept distinct from candidate, forecast and scenario information. The reference state is confirmed according to project authority and verification procedures.

Question 4

What are Engineering Identity and a Part structure?

Accepted Answer

Engineering Identity is an identification concept, separate from the local Object ID inside a CAD or BIM file, for continuing to track the same engineering object even as tools, files and versions change. A Part is the engineering processing unit that links location, geometry, type and the basis of a quantity. This public FAQ explains the concepts only; the detailed data model and conversion rules are patent-pending technology and are not disclosed.

Question 5

What do people and AI each do?

Accepted Answer

People handle the areas that need authoritative judgment: intent, context, exceptions, responsibility and approval. AI produces classifications, recommendations, drafts and candidate impacts, while Rules and Deterministic Engineering perform calculations and checks reproducibly. AI results are never confirmed directly; only what passes verification and an authority gate is reflected as reference information.

Question 6

What is proven today, and what is roadmap?

Accepted Answer

Past registered patents, existing software, project deliverables and calculation results serve as evidence for the technology lineage and for reproducibility review. Integration, modernization and verification aligned with the Ver1.41 architecture are now under way module by module, and each function's status is marked as NOW, project-specific or development plan. Digital Twin, Physical AI and full automation are a staged roadmap and are not overstated as functions available today.

Question 7

Does METOMOS replace experts?

Accepted Answer

No. Rather than removing expert judgment, METOMOS structures repetitive work, connection, calculation and change tracking. Experts focus on standards, exceptions, constructability, contracts, safety and approval, while the system shows the evidence and the scope of impact. Final responsibility and authority follow the customer's contracts, organization and regulations.

Question 8

Who is METOMOS for, and which work can it start with?

Accepted Answer

It is for organizations where information consistency matters: owners, designers, estimating and cost teams, CM firms and contractors, and operators. Rather than a full transition, the best starting points are clearly scoped tasks such as quantities and BOQ, design-change impact, schedule–cost linkage, and 3D/4D verification. After defining the existing data and target outputs, we validate with a small Reference Use Case.

Question 9

Do we have to replace our existing systems to use METOMOS?

Accepted Answer

No. Existing CAD, BIM, CDE, ERP and scheduling tools can stay in place and be connected step by step through files, APIs and adapters. Identification, reference and verification contracts are added first, and only the areas where the benefit is confirmed are modernized or replaced. The supported scope and any changes required need a preliminary assessment of each customer's environment.

Question 10

How are customer data and AI training handled?

Accepted Answer

Customer data must be kept separate according to the customer's ownership, security classification and retention policy. There is no assumption that it will be used to train general-purpose AI without separate consent; where training or analysis is needed, its purpose, scope, retention period and export conditions are set out in the contract. Sensitive information is handled with minimal collection, access control, logging, and deletion and return procedures.

Question 11

How are performance claims verified?

Accepted Answer

Performance is verified not by marketing copy but by a benchmark with the same scope, the same inputs and the same quality conditions. Beyond working time, error rate, rework, omissions, traceability, time to reflect a change and review effort are compared as well. Results vary with the project, data quality and scope of work, so they are not stretched into universal figures.

Question 12

How does a Same-Scope Benchmark work?

Accepted Answer

First, the target work, input materials, deliverables, quality criteria and exclusions are fixed. The same materials and review criteria are applied to the existing method and the METOMOS method, and an independent reviewer checks result consistency, errors and time taken. Environment, versions, staffing and rework are all recorded so the comparison report can be reproduced.

Question 13

How does METOMOS connect to Digital Twin and Physical AI?

Accepted Answer

A Digital Twin can be trusted when stable object identity, state, events, versions and evidence are connected. METOMOS aims to provide that information continuity and a foundation that can connect to simulation and operational data. Physical AI will be connected step by step once pre-action verification, authority and safety gates are in place for equipment, sensors and robots; it is not presented as a finished general-purpose solution today.

Question 14

What does METOMOS not do today?

Accepted Answer

Today METOMOS does not support every CAD, BIM or ERP immediately, interpret every country's regulations automatically, or finalize design or construction without human approval. If input data is wrong, automation alone cannot correct the facts; project-specific mapping and verification are required. Unfinished functions are marked separately as roadmap.

Question 15

Does METOMOS compete with large AEC software companies or work with them?

Accepted Answer

The basic direction is interoperability rather than competition. While making use of the authoring, analysis, scheduling and ERP functions of major AEC products, METOMOS connects the engineering meaning, identity, rules, evidence and change lineage between tools. Standard formats and APIs come first, and internal references are kept independent of any single vendor.

Answers about METOMOS software and services.

The core questions

Do you have a deeper technical question?

Can’t find the answer you need?

Answers about METOMOS software and services.

The core questions

Q0-1What does METOMOS solve?+

Q0-2How is METOMOS different from BIM or project-management software?+

Q0-3What is Engineering Ground Truth?+

Q0-4What are Engineering Identity and a Part structure?+

Q0-5What do people and AI each do?+

Q0-6What is proven today, and what is roadmap?+

Q0-7Does METOMOS replace experts?+

Q0-8Who is METOMOS for, and which work can it start with?+

Q0-9Do we have to replace our existing systems to use METOMOS?+

Q0-10How are customer data and AI training handled?+

Q0-11How are performance claims verified?+

Q0-12How does a Same-Scope Benchmark work?+

Q0-13How does METOMOS connect to Digital Twin and Physical AI?+

Q0-14What does METOMOS not do today?+

Q0-15Does METOMOS compete with large AEC software companies or work with them?+

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Can’t find the answer you need?