Built on Modern AI & Software Engineering Principles
The architecture below describes our proposed approach. Specific implementation choices are confirmed per project and as the Brevilla AI Workspace MVP matures.
From interface to integration
- Layer 1Frontend Applications
- Layer 2API Services
- Layer 3AI Intelligence Layer
- Layer 4Secure Data Infrastructure
- Layer 5Business Integrations
Cloud-Native Architecture
Containerized, stateless services intended to scale horizontally.
AI Model Integration
A model-agnostic layer to use the right model for each task.
Retrieval-Augmented Generation
Grounding AI answers in your own documents to improve accuracy.
API-First Engineering
Every capability exposed through well-defined, versioned APIs.
Data Security
Encryption in transit and at rest planned as a baseline.
Access Management
Role-based permissions and least-privilege access.
Scalability
Designed to handle growth in users, data and workloads.
Monitoring and Observability
Logs, metrics and tracing to detect and resolve issues early.
Brevilla does not currently hold ISO, SOC 2 or other formal compliance certifications. Security practices are described as design goals.