Defence · Intelligence
Classified Document Analysis
Analysts are drowning in terabytes of captured documents and intercepts, but data is too sensitive for public cloud LLMs.
Applies toDefence
The challenge
What stands in the way
Analysts are drowning in terabytes of captured documents and intercepts, but data is too sensitive for public cloud LLMs.
The solution
How Scrydon solves it
On-premise Large Language Models (LLMs) ingest and summarise classified documents within the secure facility, identifying key entities and relationships.
Built on
In practice
How this plays out
A single seized laptop or intercepted communications dump can contain more material than an analyst team can read in months, and none of it can be pasted into a public chatbot without violating classification rules.
Open-weight models served entirely on-premise via vLLM read, translate and cross-reference the material inside the secure facility, extracting entities, relationships and leads an analyst can act on immediately — with the model itself, not just the data, never leaving the classified environment.
The result
- Accelerated intelligence cycle, turning raw data into actionable intel in minutes instead of days.
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