High-temperature gas properties
Evaluate five-species air thermochemistry and the gas-state quantities used by reacting-flow calculations.
PrimeRadiant Hyper · Sovereign physical intelligence · Available now
Aerothermal intelligence.Inside your mission boundary.
Evaluate the high-temperature gas physics behind heating and surface loads. Hyper brings five-species air thermochemistry, reacting-flow transport, and analytical sensitivities into your aerothermal workflow on Terminus Station—with local, deterministic execution and independently replayable evidence.
For aerothermodynamics teams, thermal-protection engineers, and aerospace integration programs.
Aerothermal engineering · Local execution · Deterministic · Air-gap capable
Results for your engineering decisions
Understand the physics behind heating and surface loads.
Trace aerothermal calculations from gas composition and thermochemistry through heat and species transport to boundary and surface-load assessment. Keep model inputs, conservation checks, and numerical evidence attached to the result.
Heat and species transport
Calculate multicomponent transport and analytical sensitivities for integration into aerothermal models.
Boundary and surface-load assessment
Combine boundary conditions, surface-screening operators, and conservation checks to support heating and load analysis.
Reusable aerothermal evidence
Reopen accepted operator results with their source inputs and independent checks, ready for the next integration step.
Benchmarks and test conditions September 2026
Transport calculation
GPU execution of the 256-sample transport benchmark.
Independent result check
Separate verification of the same transport calculation.
Forward sensitivity
Calculate how a change in the inputs affects the transport result.
Reverse sensitivity
Trace changes in the result back to the inputs.
What you can do today
Connect gas physics to engineering observables.
Connect gas composition, geometry, and boundary conditions to thermochemistry, transport, and surface-load calculations. Use the analytical sensitivities in your aerothermal analysis, then save the calculation for independent replay.
Explore the supported workflows
- 01
Define the case
Connect geometry, source data, physical models, and boundary conditions.
- 02
Calculate reacting-flow behavior
Combine high-temperature air chemistry and transport through a common GPU interface.
- 03
Assess surface loads
Bring boundary conditions, conservation checks, and surface-load calculations into your analysis.
- 04
Understand what changes the result
Use supported analytical sensitivities to examine the effect of input changes.
- 05
Keep the evidence
Save the accepted calculation and reopen it for independent review.
Compare the architecture and technical ecosystem
Where the product fits
Scientific models become operating infrastructure.
PrimeRadiants connects native scientific models to sovereign operational decisions. Fusion is the first commercial market; the same PRX architecture spans orbital systems, quantum hardware, electromagnetics, materials, and hypersonics.
Compare the execution models
| Capability | CAE / HPC physics | Learned physics models | Conventional control | PrimeRadiants PRX |
|---|---|---|---|---|
| Scientific basis | Numerical physics solvers | Trained model, often with physics constraints | Control laws and plant models | Native scientific execution |
| Time to action | Workload and solver dependent | Fast inference after training | Real-time control loops | Near-real-time qualified decision transactions |
| Training requirement | No model training required | Model training or fine-tuning | Usually no model training | No training required |
| Required inputs | Geometry, conditions, material models, calibration | Training inputs, validation, operating inputs | Telemetry, setpoints, plant parameters | Authoritative inputs required by the physics transaction |
| Data custody | Local, HPC, cloud, or hybrid | Local, edge, or cloud; model pipeline dependent | Typically on-device or local | Customer-controlled, air-gapped, no-egress capable |
| Design | Engineering analysis and optimization | Prediction and optimization within model coverage | Control-system design and tuning | Integrated scientific design workflows |
| Operations | Simulation and external operational integrations | Inference integrated into operating workflows | Monitoring and regulation of the target system | Integrated physics-to-decision workflows |
| Physical control | Controller integration or co-simulation | Controller integration and assurance | Core function | Bounded, physics-aware, fail-closed control |
| Replay | Solver and saved-state dependent | Model, version, and inputs dependent | Model and control-log dependent | Source-bound independent replay |
| Evidence | Solver outputs and workflow records | Model, dataset, and experiment records | Telemetry and event logs | Native transaction evidence and provenance |
| Deployment | Workstation, cluster, cloud, or HPC | GPU workstation, server, cloud, or edge | Desktop, embedded, or industrial hardware | Terminus Station appliance |
| Across domains | Solver and product-suite dependent | Model training or adaptation by domain | Plant- and application-specific | One reusable PRX architecture across physical domains |
Explore the approaches: CAE / HPCLearned physicsReal-time control
Technical ecosystem references
Hyper is an embeddable aerothermal physics package for teams building and extending analysis systems. The current release delivers thermochemistry, transport, boundary, and surface-load operations with analytical sensitivities and independent replay.
Ansys Fluent
Hypersonic CFD models include finite-rate chemistry, thermal nonequilibrium, transport, and catalytic-wall treatments.
Our focus
Integrate individual aerothermal calculations and their sensitivities through native GPU interfaces, with inspectable results.
Read Ansys Fluent documentationNASA FUN3D
A CFD suite for flow analysis, design optimization, and adjoint-based methods, including GPU execution.
Our focus
Build around a reusable physics package that preserves inputs, calculated outputs, and independent verification across your own analysis system.
Read NASA FUN3D documentationBuilt for your engineering team
Your workflow. Results with receipts.
Integrate Hyper on Terminus Station with your aerothermal analysis tools. The evaluation release includes native calculation interfaces, reference inputs, and saved operator results with independent replay.
Operator qualification proof pack
Independently verified transport
SHA-256Immutable identityContent-addressed evidence
Inspect the transport calculation, check its evidence, and reuse accepted results without rebuilding them.
- Traceable inputs
- Source conditions, geometry, chemistry, and transport models
- Explainable results
- Transport response and analytical sensitivities
- Executable evidence
- Saved outputs and conservation evidence
- Independent checks
- Separate verification, corruption rejection, and fresh reload
Explore the evidence: One calculation. Reusable scientific evidence.
Inside the operator proof pack
Carry the source conditions, transport result, analytical sensitivities, and verification evidence together. Give another engineering process the saved result it needs to inspect, check, and continue the analysis.
2.74733 ms
FP64 transport construction
Maxwell–Stefan transport with 256 input samples.
2.82363 ms
Independent verification
Separate replay of the transport calculation.
2.18111 × 10⁻²⁰
Adjoint-pairing residual
Consistency between analytical forward and reverse derivatives.
116
Corruption controls passed
Typed mutations test rejection of invalid transport data.
Independent integrity checks
Independent verification checks the calculated result. Invalid source data, corrupted outputs, and failed checks cannot become accepted results.
Verify and reuse the saved result
Load the saved operator result in a fresh process, verify it independently, and reuse its scientific outputs without rerunning construction.
Work with us
Bring sovereign physics into your aerothermal workflow.
Bring an aerothermal model or transport calculation, its gas composition and boundary conditions, and the engineering output you need to integrate.