Build vs Buy vs Hub
Why a Cognitive Hub surpasses in-house development
Avoid the technical trap of building fragile wrappers around LLM APIs, and ensure security, auditing, and constant evolution with ContinuumAI.
| In-House Development (Direct API) | ContinuumAI Core Hub | |
|---|---|---|
| Time-to-Market | 4–12 months (design, development, QA, infra) | 4–6 weeks (Data Readiness + Sandbox) |
| RAG (Retrieval) | Manual integration (Pinecone, Weaviate, ChromaDB…) | Integrated RAG with citation and source auditing |
| Security / Zero-Trust | Custom development (RBAC, logs, encryption) | Multi-tenant, RBAC, TLS/rest encryption, immutable logs |
| Observability & FinOps | Ad-hoc monitoring (Prometheus, custom Grafana) | Native FinOps dashboard: per-user, per-module consumption |
| Model Agnosticism | Tied to one provider (OpenAI, Google, etc.) | Multi-model: GPT-4, Claude, Gemini, Llama 3, Mistral |
"The maintenance cost of internal AI wrappers grows exponentially as models change every 6 months. Infrastructure must be agnostic."