AI Model API Integrations
We act as the 'glue' between AI models (OpenAI, Anthropic, Google, open-source) and your systems (CRM, ERP, e-commerce, apps). Reliable, secure middleware with caching and intelligent routing to optimize costs and latency.
Seamless connection between AI models, cloud services, and your existing business systems.
Use cases
- Unified AI layer for multiple products
- Provider replacement without app refactoring
- Shared caching across data science teams
- Multi-region compliance (EU/US data residency)
- A/B testing between different models
Measurable benefits
- API cost reduction up to 50%
- Predictable latency with caching
- Vendor independence (no lock-in)
- Enterprise-grade security
Technical details
AI Providers
- OpenAI (GPT-4o, o1, DALL-E, Whisper)
- Anthropic (Claude 3.5 Sonnet/Opus)
- Google (Gemini 1.5 Pro/Flash)
- Open-source (Llama, Mistral, Qwen)
Middleware
- Custom API gateways (FastAPI, Hono)
- Per-tenant rate limiting
- Request/response transformation
- Multi-region failover
Security
- OAuth 2.0, OIDC, JWT
- API key rotation
- Secrets management (Vault, AWS Secrets)
- Audit logs and WAF
Cost optimization
- Semantic caching (reduces calls by 30-60%)
- Model-based routing (cheap → expensive)
- Automatic batching
- Budget alerts per client/feature
FAQ
What is semantic caching?
It stores AI responses to semantically similar requests, avoiding duplicate calls. For repetitive use cases, it cuts costs by 30-60%.
Can I switch providers without rewriting the app?
Yes. The middleware exposes a single API and internally manages routing to the provider. You switch models via configuration.
Do you also support self-hosted models?
Yes: we integrate vLLM, Ollama, and Text Generation Inference for on-premise or private cloud models.