LLM Integration & Orchestration
Most organisations do not need a brand-new AI product; they need AI embedded reliably into the software they already run. We integrate language models into your applications and pipelines with the plumbing that makes them dependable in production: secure gateways, routing between models, caching, retries, and clean fallbacks when a provider has a bad day.
A gateway between your apps and the models
We put an AI gateway in front of the models so your applications call one stable interface rather than provider-specific SDKs scattered through the codebase. The gateway centralises keys, rate limits, logging, and cost tracking, and lets you swap or add models without touching every service.
Routing, caching, and fallbacks
Different tasks suit different models, so we route requests by cost, quality, and latency, and cache repeatable results to cut spend. When a provider is slow or down, automatic fallbacks keep features working instead of failing hard. This turns AI from a fragile dependency into a resilient part of your stack.
Security, limits, and observability
Secrets stay server-side, requests are rate-limited per user and per feature, and every call is logged with its cost and outcome. You get dashboards showing usage, latency, and spend by feature, so AI stays observable and under budget rather than an opaque line item on an invoice.
What You Get
- AI gateway with centralised keys and limits
- Model routing by cost, quality, and latency
- Response caching and retry logic
- Provider fallbacks for resilience
- Per-feature cost and usage dashboards
- Secure integration into existing apps
Why Teams Choose Turn Global
- One stable interface, swappable models
- Resilient to provider outages
- Centralised cost and usage visibility
- Secrets and limits handled server-side
Ready to Start?
Contact our team and we will send the best implementation plan for your business.