Platform Architecture
Vista Sora embeds LLMs in an architecture that constrains their weaknesses and leverages their strengths, from preplanning through monitoring.
Under the Hood
Five Layers Working Together
The architecture separates what LLMs do well (reasoning, synthesis, natural language) from what requires precision (math, constraint validation, data retrieval).
Layer
Function
Why It Matters
Data
Ingested, indexed authoritative sources (FLIP, NOTAMs, planning pubs)
Citable answers, not hallucinations
Tools
Deterministic algorithms for fuel, routes, throughput, constraints
Precision where math matters
Agents
LLM reasoning that orchestrates queries across data and tools
Natural language without sacrificing accuracy
Edge
Models deployable on tactical hardware
Works in DDIL, not just CONUS
Learning
Feedback loops capture operator corrections
Institutional knowledge that persists
Edge AI
Beyond Commercial AI API Endpoints
Operational planning can't depend on commercial AI APIs, and sensitive planning data shouldn't transit commercial cloud infrastructure. Vista Sora deploys from enterprise cloud to tactical edge, with the same capabilities at every tier.
Enterprise Cloud
Full capabilities in controlled cloud environments
On-Premise
Deploy within your security boundaries
Tactical Edge
Works in DDIL environments
More Than Just Chat
The Same Framework, Multiple Modalities
The agentic framework that orchestrates planning queries can deploy and coordinate vision-language models for imagery analysis, optimization algorithms for route planning, and specialized tools for constraint validation—all running on infrastructure you control.
Vision-Language Models
Satellite and aerial imagery analysis integrated with planning workflows
Constraint Validation
Specialized tools for regulatory and operational checks
Optimization Algorithms
Route planning with deterministic precision
Data Fusion
Multiple sources synthesized into actionable intelligence