AI Middleware / API Orchestration
Integrate AI models into your existing stack
We build the glue layer between AI models and your existing systems. A unified API that handles model selection, fallback routing, rate limiting, and cost tracking — so your team consumes AI capabilities through a single, reliable interface regardless of the underlying provider.
- Category
- AI Integration
- Status
- Pipeline
- Tier
- core
- Delivery
- In-house
- Steps
- 4-phase engagement
[STATUS: PIPELINE] — This capability is in active development. Design-partner slots are open. Contact us to co-develop it against your workload.
What we deliver.
Every capability is engineered for production from day one — tested, documented, and ready to deploy.
- Multi-provider AI model integration (OpenAI, Anthropic, Google, open-source)
- Unified API with automatic failover
- Rate limiting and cost tracking
- Response caching and optimization
- Provider-agnostic prompt management
How the engagement runs.
Requirements
Map AI use cases and model requirements across your stack.
Architecture
Design the middleware layer with routing and fallback logic.
Build
Implement the API layer with monitoring and cost controls.
Integration
Connect to your apps and deploy with documentation.
AI middleware API
Provider configuration and routing rules
Cost tracking dashboard
Integration documentation and SDKs
Ready to put this into action?
Tell us about your project and constraints. We'll respond with a technical point of view.
Get in touchPurpose-built models for your specific use case