Connected simulation for consequential decisions

Understand complex systems.
Make better decisions.

ONEMODEL™ is a connected, agent-based digital twin for examining how decisions affect people, firms, markets, institutions, infrastructure, and outcomes over time. Explore governed scenarios whose assumptions, execution and results can be traced.

From intent to evidenceGoverned execution
01DefineQuestion + model intent
02GroundGoverned data
03SimulateDigital twin + scenarios
04PublishTraceable evidence
PeopleHouseholdsBusinessesGovernmentInfrastructureMarkets

AI helps define the system. Governed data grounds it. The model executes it. Results retain the evidence chain.

Model fasterAI accelerates structure and dynamics authoring while human review stays explicit.
Simulate interactionsScenarios run through a digital twin where agents, institutions, markets, and constraints interact.
Trace every resultGoverned inputs, run identity, scenarios, and published outputs stay connected.
Proven in practice

Supporting decisions across governments, municipalities, pensions, and research.

ONEMODEL™ supports institutional decisions where populations, institutions, finances, and time need to be considered together. These examples include platform deployments and CANCEA’s analytical work.

Used in practiceDeployments and analytical work.
PEIGovernment of
Prince Edward Island
AMOAssociation of
Municipalities of Ontario
OMERSSocial and economic
contribution
CIHRCanadian Institutes
of Health Research
AI integration

AI helps analysts explore the system. The model produces the evidence.

Language models can accelerate understanding and authoring, but ONEMODEL™ keeps governed data, deterministic execution, reproducible scenarios and reviewable results separate from AI-generated suggestions.

Describe and explore

Use natural language to investigate model concepts, data requirements and decisions without losing the human review step.

Review and govern

Analysts verify definitions, assumptions, scenarios and data provenance before anything becomes an executable model.

Execute and trace

The deterministic model runs scenarios and publishes traceable evidence; AI does not invent or substitute the resulting outcomes.

How it works

From question to published scenario in one governed flow.

AI helps at the points where language and expert intent matter most. Deterministic systems take over where reproducibility, execution, and evidence matter most. ONEMODEL™ is operational and in use across real institutional engagements.

One connected system

A model you can follow end to end.

ONEMODEL™ connects model authoring, governed data, execution, run identity, and published results so the final answer can be traced back through the system that produced it.

01

Author in ONEMODEL™ Studio

Analysts can move from natural-language intent to draft model structure, and from reviewed dynamics proposals to code generation. AI accelerates authoring, while model definition and approval remain explicit.

02

Bind with ONEMODEL™ Data

ONEMODEL™ Data governs input query and validation semantics, including canonical query metadata and explicit as_of context. Inputs are selected deliberately rather than pulled opaquely from an AI black box.

03

Freeze the run in ONEMODEL™ Engine

ONEMODEL™ Engine fixes the model package, run plan, history identity, inputs, scenarios, and execution semantics so each run can be reproduced and compared consistently.

04

Execute in ONEMODEL™ Engine

ONEMODEL™ Engine runs the model outside the language model. AI can help define the system, but deterministic simulation remains the engine of record.

05

Publish with ONEMODEL™ Results

Verified run packages carry provenance and fingerprints. ONEMODEL™ Results turns outputs into immutable published releases while preserving the evidence chain behind them.

Flagship model

Canada as a living system, not a spreadsheet.

The flagship ONEMODEL™ national model connects people, families, dwellings, businesses, governments, infrastructure, and markets inside one evolving population-economic system. Scenarios change the rules or conditions; the model carries those changes through the interacting system over time.

ONEMODEL™interacting agents and institutions
Peoplelife-course dynamics
Familieshousehold structure
Dwellingshousing supply and use
Businessesproduction, labour, decisions
Governmenttaxes, transfers, programs
Infrastructurecapacity and constraints
Marketshousing · labour · goods

See the interactions that averages hide.

When a change affects households, firms, governments, capacity, prices, labour, or location at the same time, a collection of disconnected forecasts can miss how effects compound. A connected simulation keeps those relationships inside the same evolving system.

  • Follow distributional effects. Examine how outcomes differ across people, households, industries, or places.
  • Capture feedback. Let changes in one part of the system alter conditions elsewhere.
  • Compare paths through time. Test not only where a scenario ends, but how the system gets there.
  • Keep the evidence chain visible. Tie results back to data, model identity, scenarios, and run provenance.
Model applications

From proven deployments to new complex systems.

The real deployments above demonstrate the platform in practice. ONEMODEL™ began as CANCEA’s integrated national model; the surrounding data, authoring, execution, and publication capabilities evolved into the ONEMODEL™ Platform. Energy, health-system, and supply-chain examples below are illustrative applications showing where this architecture generalizes.

Where it fits

Not every question needs a complex-system model.

ONEMODEL™ is built for decisions where interactions, constraints, behaviour, and time materially change the answer. When the problem is simpler, the tool should be simpler too.

Use ONEMODEL™ when the system matters

  • Decisions with direct, indirect, induced, and feedback effects.
  • Distributional questions across people, households, industries, or places.
  • Scenarios where the path matters, not just the final total.
  • Problems where behaviour, capacity, affordability, and institutions interact over time.
  • Situations where decision-makers need a traceable line from data to result.

Use a simpler tool when the system does not

  • Static dashboards or descriptive reporting.
  • Simple forecasts with weak system feedback.
  • Cases where available evidence does not justify model resolution.
  • Very fast decisions where calibration time would dominate value.
  • Problems where clarity of assumptions matters more than structural richness.
“AI proposes. Humans approve. Data grounds. The model executes.”ONEMODEL™ design principle

When one decision propagates across a system.

ONEMODEL™ is designed for questions that cross institutional and sector boundaries—where outcomes depend on who is affected, how behaviour changes, and which constraints bind over time.

People & communitiesPopulation, households, affordability, well-being, and distributional outcomes.
Economy & workforceEmployment, business activity, labour markets, incomes, and fiscal effects.
Scenario intelligence

Test the path before committing to it.

Compare baseline and alternative scenarios under the same model identity, with governed inputs and a reproducible execution path.

Infrastructure & capacityInvestment, timing, constraints, service needs, and downstream economic effects.
Policy & programsBehavioural response, eligibility, fiscal flows, and direct and indirect consequences.
ONEMODEL™ FAQ

What ONEMODEL™ is—and what it is not.

Plain-language answers to the distinctions that matter when evaluating the platform.

What is ONEMODEL™?

ONEMODEL™ is governed agent-based modelling infrastructure for turning complex questions into traceable, executable scenarios. It is an operating expression of the Symcura family’s shared scientific discipline and is used by specialist organizations such as CANCEA in their domains.

Does AI generate the simulation results?

No. AI can assist with model design, authoring, and interpretation, but executable model logic and governed inputs run through the deterministic simulation engine. Human review and validation remain part of the modelling workflow.

Is the ONEMODEL™ Platform the same as the national digital twin?

No. The ONEMODEL™ Platform is model-agnostic infrastructure. The ONEMODEL™ National Digital Twin is the flagship socioeconomic model built on that platform and is one example of what the platform can support.

When is a digital twin useful?

It is most useful when interactions, feedback, constraints, distributions, geography, institutions, or time materially change the answer. For simpler descriptive or forecasting questions, a simpler analytical tool may be more appropriate.

See ONEMODEL™ in action

Ask a complex question.
Run it through reality.

See how ONEMODEL™ moves from model intent to governed data, executable scenarios, and traceable published results—without asking AI to stand in for the model itself.

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