The METOMOS Story

Why METOMOS Exists— In 3 Acts.

Three chapters trace the crisis, the connected solution and the future horizon.

The work behind the integration

Some systems are built by many ideas. This one began with one person refusing to stop learning.

The original integration was led by one person who kept learning across architecture's disciplines, project stages and information levels, then organizing what had been learned into something that could be built and used. The farther the work went, the larger and more difficult the landscape became. The progress came from staying with it until the connections held—not from pretending the mountain was small.

Some of us joined later because that persistence was visible. We are not here to make the story louder; we are here to help carry the work forward with the same care.

The METOMOS visual narrative

From fragmented work to a living Digital Twin.

These visual boards follow the information journey: where value is lost, how engineering context can be connected, and what a modernized Digital Twin—an engineering model whose relevant information stays connected—can make possible.

Select an image to view the original at full resolution.

Act 1 · The Crisis

The reality of fragmented work

01 · Fragmented work

Where information loses value

Project value is lost not when information is absent, but when it stops connecting.

The industry problem METOMOS addresses

Diagram of fragmented construction-information handoffs — Drawings, models, quantity, cost, schedule, field and operations information are often handed off as separate work. Each break creates re-entry, reconciliation and decision delay.

Act 2 · The Solution

A connected engineering foundation

From one shared engineering context, project information can remain connected through execution and into a twin-ready future.

02 · Connected foundation

The METOMOS connected engineering core

METOMOS connects fragmented information into one engineering context.

METOMOS foundation

The METOMOS solution connecting fragmented engineering information — Engineering inputs are captured, standardized and connected so downstream outputs can stay aligned.

The connected core in action across BIM and project data — A connected engineering core lets one verified change flow through related BIM and project outputs.

03 · Execution and control

Execution insight starts with connected data

To read project performance clearly, progress, quantity, cost and schedule need one connected reference.

Execution-management direction

Diagram contrasting fragmented and connected EVMS information — EVMS (Earned Value Management System) compares planned work, completed work and recorded cost at the same status date. This illustration contrasts periodic, manually reconciled work with a connected model in which progress, quantity, cost and schedule can be reviewed from related project information.

04 · Performance assessment concept

CPI and SPI: performance at the status date

One point shows the current status; a series of points reveals the direction of the project over time.

Performance-assessment concept

Illustrative CPI and SPI construction performance assessment — This illustrative EVM workflow explains how planned work, earned work and actual cost can be compared at a defined status date. Its projects, points, figures, dashboards and near-real-time workflow are examples—not a current METOMOS dashboard, live project data, delivery record or performance claim.

How the EVM measures are calculated

All measures must use the same approved scope and status date. EVM compares the time-phased baseline, objectively earned work and actual recorded cost—not estimates based only on money spent or a visual impression of progress.

BCWS (PV)Planned value: BCWS = Σ(Baseline budgetᵢ × planned progressᵢ); The budgeted cost of work scheduled to be complete by the status date, taken from the approved time-phased baseline.
BCWP (EV)Earned value: BCWP = Σ(Baseline budgetᵢ × earned progressᵢ); The budgeted value of work actually accomplished by the status date. Progress is earned under the project's agreed measurement rule, such as verified work or approved milestones.
ACWP (AC)Actual cost: ACWP = Σ(actual recorded costᵢ); The actual cost incurred and recorded through the same status date for the work being assessed.
CPICost performance index: CPI = BCWP ÷ ACWP; 1.00 means earned value equals actual cost. Above 1.00 indicates stronger cost efficiency; below 1.00 signals that cost needs review.
SPISchedule performance index: SPI = BCWP ÷ BCWS; 1.00 means earned work matches the plan. Above 1.00 is ahead of plan; below 1.00 is behind plan.

About the moving CPI/SPI dot

Each status date can place one point on the chart: CPI on the horizontal axis and SPI on the vertical axis. The green point in this image represents the latest status; the gray points show earlier dates so the reader can see movement over time.

The gray snail trail is an illustrative explanation, not a literal program interface. A working program can show only the single latest CPI/SPI point in its primary view; historical points can be opened separately when a trend review is needed.

05 · Portfolio oversight concept

Connected project context, seen across a portfolio

Beyond individual project figures, related causes and impacts can be reviewed across a portfolio.

Portfolio-oversight concept

Concept illustration of an executive command center for connected project context — This is an illustrative command-center concept for reviewing related project context across a portfolio. Project names, status labels, completion figures, charts and future dates are fictional examples—not a current METOMOS dashboard, live data feed, delivery record or performance claim.

06 · Information continuity

From connected BIM to a twin-ready building

A Digital Twin is not a bigger 3D model; it is an information foundation whose relationships stay connected.

Modernization direction

Diagram showing continuity from connected BIM to a digital twin and illustrative application areas — A Digital Twin is not simply a larger 3D model. The modernization direction is to retain traceable engineering relationships across design, construction and later lifecycle use at the resolution each decision requires.

07 · Modernization direction

A living Digital Twin, at the required resolution

The goal is not more data everywhere, but the right depth of information where a decision needs it.

Long-term modernization direction

Concept diagram of a living digital twin across a building lifecycle — The long-term opportunity is construction-grade detail where it is needed, with a lighter information view where it is not—so design, operations and lifecycle decisions can use the right context without treating every part of a building as equally dense data.

Act 3 · The Future

Beyond the initial proof

METOMOS remains focused on construction. The following concepts show where the same need for trusted, connected engineering context may matter next—without turning exploration into a current product or market claim.

08 · Exploration frontier

Beyond construction: complex engineering worlds

The connection challenge proven in construction reappears wherever complex engineering information multiplies.

Future opportunity map

From construction to complex engineering data: why METOMOS starts with the hardest problem, the common problem of fragmented data across semiconductor fabs, AI data centers, shipbuilding, aerospace and construction, and what METOMOS connects. — A chair or a bracket is easy to model and changes little. Fabs, data centers, ships, aircraft and buildings involve many disciplines, many systems and constant change. Different domains, the same problem: fragmented data.

From disparate data to a connected engineering context: diverse inputs pass through the METOMOS connected engineering data layer into connected outputs, and one object such as column C-101 stays connected across model, quantity, cost, schedule, procurement and field progress. — Drawings, specifications, models, quantities, costs, schedules and field data come from different teams in different formats. One object keeps one identity across all of them. The domain may change; the logic of integration stays the same.

Where connected engineering can go next: construction today, AI and semiconductor infrastructure as the adjacent domain, broader engineering domains in the future; why it matters; security and confidentiality; and the bigger question of where else connected engineering can create value. — Construction today; AI and semiconductor infrastructure next door; energy, life sciences and smart cities further out. These are directions to explore, not current deliveries, contracts or market entries — and connected never means exposed.

09 · Adjacent proving ground

Semiconductor FAB: an adjacent complexity test

A semiconductor FAB brings building, equipment, cleanroom and process dependencies into one high-consequence environment.

Adjacent application concept

Concept diagram of connected information for semiconductor FAB construction — Semiconductor facilities show why connected context matters: structure, MEP, cleanrooms, process equipment, utilities and schedule dependencies converge in a single high-consequence environment. The board illustrates a potential adjacent application, not a current product announcement or measured performance promise.

10 · Future data layer

Physical AI: context before action

Before a machine can act, it needs trusted engineering context connected to the real world.

Future vision, not a current product

Physical AI robot aligning building information with the real world — A future construction robot needs a shared spatial reference between approved building information and what it perceives on site.

Physical AI robot using engineering context to select safe actions — The same geometry can require different actions depending on construction stage, materials, access and safety conditions.

Future vision of human-supervised construction robots and reusable engineering knowledge — This is a future scenario, not a current product claim: people remain in charge while well-documented project decisions can inform more capable future construction systems.

The longer horizon

Beyond the robot, the lasting asset is trusted engineering context.

Physical AI is a future direction, not a finished product. As this work develops, future visual chapters will show how verified project context can support people, machines and more capable systems in the built world.

The Crisis

The Solution

The Future

Metomers

Join the global Metomer network.

Trained Metomers provide scalable Human Verification where engineering judgment, ambiguity and exceptions still require people.

Apply as Metomer

Trained verification

Metomers learn the project standards and review procedures required to verify engineering outputs consistently.

Structured review

Exceptions, ambiguous inputs and approval points are made visible instead of being buried inside automated output.

Scalable capacity

A distributed network expands verification capacity while responsible engineers retain judgment and approval.

Human capability grows

As automation handles more repeatable work, people can focus on context, judgment, exceptions and professional growth.

"We want AI to expand human capability, not make human value disposable."

You've seen the full picture.

Now let's talk about what METOMOS can do for your projects — or your portfolio.

Book a Demo Apply as a Metomer Investor Relations