Objectives
Core platform principles from source documentation.
Objectives
BondingAI AIOS applies core principles to build a scalable, secure, and business-aligned enterprise AI platform. These objectives guide our architecture to ensure simplicity, flexibility, and governance across all AI and data operations.
| Principle | Description |
| Allow | Scale AI adoption without added complexity through modular, self-serve infrastructure and clear domain separation |
| Follow | Apply cloud-native, well-architected best practices across all components and services |
| Support | Operate seamlessly in hybrid, multicloud, and on-prem environments with cloud-agnostic integrations |
| Adopt | Use a vendor-neutral agnostic, interoperable approach with xLLM (core AI/LLM model) that supports diverse LLMs, tools, and cloud providers |
| Commit | Build on secure landing zones and reference architectures, with centralized governance by design |
| Enable | Provide a unified AI/data backbone for distributed teams, with secure access, observability, and control |