Planned
Aerontra Research
LLM + retrievalGrounded aerospace research and technical-document reasoning
Base modelNot selectedModel and dataset rightsNot reviewedBenchmarksNot evaluatedAzure deploymentNot provisioned
Specialized intelligence.
Earned through evidence.
A proposed model lineup for aerospace research, engineering, prediction, and climate. Every model must pass licensing, dataset, and evaluation gates before deployment.
PLANNED FAMILIES · NO TRAINED AERONTRA MODELS OR INFERENCE ENDPOINTS YET
Planned
Aerontra Engineer
Domain-adapted language modelMaterials and engineering literature interpretation
Base modelNot selectedModel and dataset rightsNot reviewedBenchmarksNot evaluatedAzure deploymentNot provisioned
Planned
Aerontra Orbit
Specialized model familyOrbital and spacecraft research support
Base modelNot selectedModel and dataset rightsNot reviewedBenchmarksNot evaluatedAzure deploymentNot provisioned
Planned
Aerontra Predict
Time-series / predictive MLForecasting and anomaly detection against governed time series
Base modelNot selectedModel and dataset rightsNot reviewedBenchmarksNot evaluatedAzure deploymentNot provisioned
Planned
Aerontra Climate
Climate / geospatial MLAviation climate exposure and atmospheric research
Base modelNot selectedModel and dataset rightsNot reviewedBenchmarksNot evaluatedAzure deploymentNot provisioned
Planned
Aerontra Embed
Embedding / rerankingAerospace document retrieval and evidence similarity
Base modelNot selectedModel and dataset rightsNot reviewedBenchmarksNot evaluatedAzure deploymentNot provisioned
Two deployment paths. One standard.
Azure-hosted model APIs
Evaluate supported Foundry deployments for managed inference. Model, region, fine-tuning, data-processing location, and pricing must be verified per offer.
Azure GPU deployment
Use supported managed compute or Azure ML endpoints for open-weight and custom models. Preview services require separate production-readiness review.
Release gates
Approve model and data rights, evaluate against aerospace benchmarks, publish limitations, validate isolation, and implement monitoring and rollback.
Open-weight does not automatically mean open-source or commercially unrestricted. No external model APIs are permitted. Time-series and orbital models may require specialized methods rather than language-model fine-tuning.