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Platform/Prove/SYNSUIT
Kosmosuit.Prove: SYNSUIT™

SYNSUIT
DIGITAL
TWIN

SYNSUIT is a synthetic suit and digital twin environment that simulates how a human system will behave before it is built, predicting thermal, mechanical and physiological performance and correcting itself against measured results from the rigs.

View Capabilities
SYNSUIT avionics simulation showing predicted system response and performance envelope across the mission profile
SYNSUIT avionics simulation showing predicted system response across the mission envelope.
Simulation output, Q2 2026
Thermal gradient simulation across the full SYNSUIT suit model, compared against SYNHUM baseline measurements
Thermal gradient prediction across the full suit model, prior to SYNHUM physical correlation.
Simulation output, Q2 2026
Rear view of SYNSUIT avionics simulation model showing thermal and mechanical layer overlays
Rear-view avionics simulation with thermal and mechanical overlays; prediction overlaid against measured SYNHUM results.
Correlation study, Q2 2026
Capability

WHAT DOES SYNSUIT ENABLE?

Validation Before Fabrication
Test a design against the mission profile while it is still a model. Failures found in simulation cost hours; failures found in hardware cost a build cycle.
Design Space Exploration
Evaluate hundreds of configuration variants across the operating envelope, and carry only the strongest candidates through to physical test.
Predictive Analytics In Service
The same model runs against live PULSE telemetry, comparing observed performance to predicted behaviour and flagging divergence before it becomes failure.
Conditions That Cannot Be Built
Model exposure envelopes no rig can reproduce: long-duration orbital thermal cycling, compound failure cases, or environments not yet accessible.
Model Coverage

WHAT DOES SYNSUIT MODEL?

Four physics domains run against the same suit model. Each is validated separately against physical measurement, and correlation status is tracked independently rather than claimed for the model as a whole.

THERMAL
Heat transfer through suit layers, active cooling loops and the operator interface.
Correlated
MECHANICAL
Joint loading, range of motion, material strain and mobility under pressurisation.
Correlated
PHYSIOLOGICAL
Metabolic load, respiration, perspiration and operator thermal comfort modelling.
In correlation
RADIATION
Shielding response and cumulative dose modelling for orbital and high-altitude profiles.
In development
Technical Substance

MODEL
SPECIFICATION

SYNSUIT: baseline model configuration
Model ScopeFull-body suit, interface layers and operator analogue
Physics DomainsThermal, mechanical, physiological and radiation
Correlation SourceSYNHUM measured results and SUITRIX rig campaigns
Live Data InputPULSE telemetry ingestion for in-service comparison
Design IterationParametric variant generation across the operating envelope
Suit CoverageCORE-L, CORE-S, CORE-A, CORE-X and CORE-T configurations
OutputPredicted performance envelope with documented confidence bounds
Validation Apparatus

HOW DOES SYNSUIT WORK WITH SUITRIX AND SYNHUM?

PROVE is one apparatus with three parts. SUITRIX supplies the mission conditions, SYNHUM occupies the suit and generates the measurement, and SYNSUIT predicts what both should produce. Run together, prediction and measurement converge. Every divergence improves the model.

SUITRIX™: The Conditions
High-fidelity rigs that reproduce mission conditions on the ground for repeatable verification and benchmarking.
SYNHUM™: The Measurement
The instrumented human surrogate that generates the physical ground truth SYNSUIT is corrected against.
SYNSUIT™: The Prediction
Synthetic suit and digital twin environment for simulation, virtual validation, predictive analytics and design optimisation.
Platform Architecture

PLATFORM
CONNECTION

Human Systems Infrastructure Platform
CORE
→ Human Systems Suits
PULSE
→ Telemetry & Intelligence
PROVE: SYNSUIT
→ Validation & Testing
DEPLOY
→ Field Deployments
LABS
→ Research & Innovation
Real-World Use

REAL
APPLICATIONS

  • Design optimisation before hardware is committed
  • Virtual qualification against mission profiles
  • Thermal regulation modelling across CORE-T integration
  • Predictive maintenance and in-service divergence detection
  • Failure-case modelling beyond physical rig capability
  • Mission planning and performance envelope definition
Across The Domains

WHERE IS SYNSUIT APPLIED?

LAND
CBRN, firefighter, polar, industrial and field research operations.
SEA
Saturation diving and offshore survival systems.
AIR
High-altitude flight and HALO military free-fall.
SPACE
Astronaut EVA, launch and entry IVA, and analog missions.
Stakeholders

WHO IS THIS FOR

Space Agencies
Defence Primes
Research Institutions
Suit & PPE Manufacturers
Simulation & Engineering Teams
Mission Planners
Common Questions

SYNSUIT, ANSWERED

What is SYNSUIT?
SYNSUIT is a synthetic suit and digital twin environment built by Metakosmos for simulation, virtual validation, predictive analytics and design optimisation of human systems. It sits in the PROVE layer of the Human Systems Infrastructure Platform.
What makes a digital twin trustworthy?
Correlation to physical measurement. SYNSUIT predictions are checked against SYNHUM surrogate results and SUITRIX rig campaigns, and correlation status is tracked separately for each physics domain rather than claimed for the model as a whole.
What can SYNSUIT model that a rig cannot?
Exposure envelopes that are impractical or impossible to reproduce physically: long-duration orbital thermal cycling, compound failure cases, and environments not yet accessible for testing.
Does SYNSUIT replace physical testing?
No. It reduces how much physical testing is needed by carrying only the strongest design candidates through to hardware, and it depends on physical results to stay accurate. Simulation without measurement drifts from reality.
How does SYNSUIT relate to SUITRIX and SYNHUM?
SUITRIX supplies the mission conditions, SYNHUM occupies the suit and generates the physical measurement, and SYNSUIT predicts what both should produce. Every divergence between prediction and measurement is used to correct the model.
Engage

MODEL YOUR SYSTEM

Discuss a digital twin engagement, or request SYNSUIT correlation methodology under NDA.

Discuss an EngagementRequest Correlation Data

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