- Problem
- Generic AI integrations buckle under enterprise workloads, generating uncontrollable inference bills, high latency, and frequent session timeouts.
- Business Risk
- Customer churn, negative unit economics, and vendor lock-in to volatile model APIs.
- Engineered Solution
- Full-stack, multi-tenant SaaS engineering. We implement custom semantic caching layers, streaming backends, token usage telemetry, and decoupled model providers.
- Deliverables
- Multi-Tenant Web/Mobile SaaS Codebases · Dynamic Caching Architecture · Cloud-Native Scalable Infrastructure · Usage Billing Systems