AI Enablement Architecture for Enterprise AI
LLM Capsule LLM Capsule is an AI enablement data layer and plugin that enables enterprises to adopt any AI model safely. It sits between enterprise data systems and external AI services — protecting data in transit while unlocking the full power of AI across every workflow.
Architecture Overview
LLM Capsule LLM Capsule operates as an AI enablement data layer that encapsulates sensitive enterprise data locally, transmits only protected representations to any external AI service, and restores AI outputs within the enterprise environment — enabling safe AI adoption at scale.
Architecture Components
Local Encapsulation Engine
The encapsulation engine operates entirely within the enterprise environment. It detects sensitive elements using context-aware data control, replaces them with structure-preserving representations, and stores the mapping locally. The mapping never leaves the enterprise boundary.
Deployment Options
LLM Capsule LLM Capsule enables AI anywhere your infrastructure runs. The encapsulation and restoration logic is identical regardless of deployment model — so you can adopt AI across every environment.
On-Premise
Full deployment within the enterprise data center. Sensitive data never traverses any network boundary. Operates within existing security perimeters.
Air-Gapped
For the most sensitive environments. Encapsulation on the isolated network, controlled transfer to AI-connected environment, results transferred back for local restoration.
Cloud (AWS Marketplace)
Runs within the enterprise's AWS account or VPC. Data remains within the enterprise's cloud boundary. Available on AWS Marketplace for streamlined procurement.
Hybrid
Different document types or sensitivity levels route through different deployment modes within a single LLM Capsule instance. Maximum flexibility.
Embedded Integration
LLM Capsule embedded into existing enterprise applications and platforms, operating as an AI enablement data layer within your software stack.
Slack App
Use LLM Capsule directly within Slack. Encapsulate sensitive messages and documents before sending to AI assistants, with results restored in-channel.
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See how LLM Capsule works with your data
Bring your documents, deployment constraints, and evaluation criteria. We demonstrate on your actual workflows.