Symbio ScenarioLab

Simulate Complexity.
Decide with Confidence.

Turn plain English into executable simulation scenarios. Model, stress-test, and optimize complex systems across domains from healthcare and infrastructure to logistics, resilience, and mission planning.

Complex decisions shouldn't require complex tools

Simulation today is slow, fragile, and inaccessible.

Analysts spend weeks assembling models that are brittle, opaque, and locked to a single domain. When assumptions break, models fail. When stakeholders ask "what if," timelines reset. When decisions can't wait, simulation becomes the bottleneck.

ScenarioLab closes that gap.

From Intent to Insight

Describe what you want to explore. ScenarioLab translates your objectives into structured, executable simulation scenarios without requiring specialized simulation programming.

Three Pillars. One Platform.

Describe It.

Type what you want to simulate in plain English.

ScenarioLab interprets your natural-language objectives and translates them into structured simulation specifications. When inputs are ambiguous, the system guides refinement — ensuring clarity before execution.

No configuration files.No complex scripting.
Run It.

Validated simulation components work together seamlessly.

ScenarioLab assembles scenarios using validated, contract-governed simulation components. The platform automatically evaluates compatibility, validates connections, and prepares the simulation for execution.

Real-world systems change. Assumptions drift. ScenarioLab monitors validity and fidelity during runtime, adapting when conditions deviate.

Understand It.

Insights that inform decisions. Go beyond static outputs. Explore:

  • Causal drivers
  • Sensitivity landscapes
  • Decision surfaces
  • Counterfactual outcomes
  • Tipping points

Understand not just what happened, but why.

Core Capabilities

Natural Language Scenario Creation

Just Say It.

Describe your scenario the way you'd explain it to a colleague: "Optimize hospital emergency response to minimize patient wait time with 50 beds, 20 doctors, and 30 nurses." ScenarioLab extracts goals, constraints, and metrics, guiding refinement when needed.

Contract-Governed Model Composition

Reliable by Design.

Simulation modules carry defined behavioral expectations governing inputs, outputs, operational assumptions, and system constraints. ScenarioLab automatically evaluates module compatibility and validates compositions before execution.

No silent failures. No hidden incompatibilities.

Runtime Adaptation & Self-Healing

Resilient Under Uncertainty.

Real systems violate assumptions. ScenarioLab responds dynamically using adaptive strategies:

RecomposeReplace incompatible components
FallbackDegrade gracefully to alternate models
RelaxAdjust thresholds within acceptable bounds
ReorderRestructure execution paths
Advanced Analytics

See the "Why" Behind Every Outcome.

ScenarioLab provides layered analysis:

Causal AnalysisIdentify true drivers of outcomes
Predictive ForecastingExplore projected system states
Comparative BenchmarkingEvaluate alternatives and baselines
Counterfactual ReasoningQuantify "what if" scenarios

How It Works

Step 1

Describe

Enter objectives in natural language, upload data (CSV, Excel, JSON, or graph), or start from a template. ScenarioLab profiles variables and generates an interactive system map.

Step 2

Compose

ScenarioLab selects and connects validated simulation components. Use the visual builder to configure agents, environments, objectives, and orchestration.

Step 3

Simulate

Run scenarios on an interactive canvas. Monitor system dynamics, validity indicators, and event logs in real time.

Step 4

Analyze

Drill into causal drivers, sensitivity landscapes, survival curves, and decision surfaces. Compare runs. Export findings. Iterate.

Use Cases

Bring your own domain. Upload your data — ScenarioLab builds the simulation framework around your objectives.

Healthcare Optimization

Patient flow, bed allocation, virtual clinical trials

Supply Chain Resilience

Disruption modeling, cascading failures, recovery strategies

Mission Planning

Multi-objective scenario comparison and optimization

Disaster Response

Evacuation modeling, resource allocation

Energy & Infrastructure

Grid stress-testing, resilience scoring

Biomedical Research

Agent-based biological and diffusion simulations

Specialized Simulation Environments

Virtual Clinical Trials
Simulate cohorts, evaluate therapeutic strategies, and explore outcome dynamics using survival and risk modeling.
Infrastructure Resilience Modeling
Analyze cascading failures, mitigation strategies, and network dynamics across complex systems.
Agent-Based Biological Simulation
Model diffusion processes, cellular interactions, immune dynamics, and emergent biological behavior.

Performance

Designed for responsiveness and analytical rigor.

Intent interpretation
Sub-second
Scenario generation
Seconds
Simulation feedback
Real-time
Adaptation response
Near real-time
Verification (optional)
Seconds

Fast enough to think in real time.

Structured enough to trust the results.

Why ScenarioLab

Traditional Simulation
ScenarioLab
Weeks to configure
Minutes to describe
Breaks when assumptions fail
Adaptive & self-healing
Single-domain tools
Multi-domain by design
Expert-only interpretation
Built-in causal & decision analytics
Limited transparency
Visual orchestration & traceability

Who It's For

  • Defense & strategy analysts
  • Clinical & biomedical researchers
  • Infrastructure & resilience planners
  • Operations & logistics teams
  • Decision-makers seeking explainable, auditable insight

Technical Foundation

Architecture

Modular, contract-governed simulation framework

Security

Enterprise-ready identity & data isolation

Scale

Designed for high-complexity, multi-agent scenarios

Extensibility

Domain-agnostic by design

Get Started

ScenarioLab is currently in early access.