Describe and explore
Use natural language to investigate model concepts, data requirements and decisions without losing the human review step.
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.
AI helps define the system. Governed data grounds it. The model executes it. Results retain the evidence chain.
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.
A shared population and economic planning system connecting demographic change, departmental revenues and expenses, investment decisions, public services, infrastructure, and policy scenarios across government.
Explore the PEI deploymentA province-wide model joining full municipal revenue and expenditure accounts with infrastructure value, condition, renewal, growth needs, reserves, debt, taxes, user fees, transfers, and demographic drivers.
Explore the AMO deploymentCANCEA provides regular updates on the social and economic contribution of OMERS.
Explore the OMERS workCANCEA evaluated the research funding portfolio of the Canadian Institutes of Health Research (CIHR).
Explore the CIHR evaluationLanguage models can accelerate understanding and authoring, but ONEMODEL™ keeps governed data, deterministic execution, reproducible scenarios and reviewable results separate from AI-generated suggestions.
Use natural language to investigate model concepts, data requirements and decisions without losing the human review step.
Analysts verify definitions, assumptions, scenarios and data provenance before anything becomes an executable model.
The deterministic model runs scenarios and publishes traceable evidence; AI does not invent or substitute the resulting outcomes.
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.
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.
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.
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.
ONEMODEL™ Engine fixes the model package, run plan, history identity, inputs, scenarios, and execution semantics so each run can be reproduced and compared consistently.
ONEMODEL™ Engine runs the model outside the language model. AI can help define the system, but deterministic simulation remains the engine of record.
Verified run packages carry provenance and fingerprints. ONEMODEL™ Results turns outputs into immutable published releases while preserving the evidence chain behind them.
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.
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.
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.
Economy, households, housing, infrastructure, social value, and well-being.
Connect policy and investment choices to economic, fiscal, distributional, health, and quality-of-life outcomes inside one evolving population-economic system.
Explore ONEMODEL™Generation, storage, grids, utilities, demand, investment, and policy.
Test how demand growth, technology choices, transmission constraints, prices, reliability, and emissions interact across an evolving energy system.
Explore the energy modelPopulation health, care delivery, workforce, capacity, costs, and well-being.
Follow how disease, access, treatment, workforce capacity, employment, household finances, and quality of life affect one another over time.
Explore the health modelSuppliers, inventories, logistics, infrastructure, labour, and recovery.
Trace disruptions through sourcing, inventory depletion, production, substitution, prices, employment, and recovery paths.
Explore the supply-chain modelONEMODEL™ 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.
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.
Compare baseline and alternative scenarios under the same model identity, with governed inputs and a reproducible execution path.
Plain-language answers to the distinctions that matter when evaluating the platform.
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.
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.
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.
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 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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