OpenAI
- Function calling & structured outputs
- Fine-tuning where it earns its cost
- Usage & cost monitoring
LLM Providers
OpenAI, Anthropic & Gemini Integration
Production-grade integration with the leading LLM providers, chosen and swapped based on what each task actually needs.
Why Provider Choice Matters
Using a single frontier model for every task burns budget on requests that never needed that much reasoning power, and hardcoding one provider makes switching expensive later. We build a model-agnostic integration layer so tasks route to the right-sized model, and swapping or mixing providers is a configuration change, not a rewrite.
The Business Impact
- Lower Inference Cost
Lightweight models handle simple tasks; frontier models reserved for what needs them.
- No Provider Lock-In
An abstraction layer keeps you free to switch or mix providers.
- Resilient to Outages
Fallback providers keep features running through a single outage.
Where We Work
Integrated with every major LLM provider.
Anthropic
- Long-context document processing
- Constitutional AI safety patterns
- Tool use & agentic workflows
Google Gemini
- Multimodal input (text, image, video)
- Vertex AI deployment
- Google Workspace integration
How We Help
From provider selection to production monitoring.
Model Routing & Integration
Right model, right taskWe build the integration layer that routes each task to the right-sized model across providers.
40%
Avg. Cost Reduction
- Cost/quality benchmarking
- Structured output validation
- Multi-provider abstraction layer
Reliability & Monitoring
Stay up through provider outagesRetry logic, fallback providers, and usage monitoring so a single provider outage never takes down your feature.
99.9%
Target Uptime
- Automated retries & fallback routing
- Rate limit handling
- Usage & cost dashboards
What This Looks Like in Practice
Results teams see after right-sizing their model usage.
30-50%
Inference cost
Typical reduction after routing tasks to the right-sized model.
<2s
Response latency
Target end-to-end latency for interactive AI features.
100%
Provider flexibility
Applications built to swap LLM providers without a rewrite.
Why Teams Choose Us
Model-agnostic engineering, not a single-vendor pitch.
Provider-Agnostic Architecture
We don't build around one provider's API — switching or mixing providers is a config change.
- OpenAI, Anthropic & Gemini integrated
- Zero-rewrite provider swaps delivered
Cost-Conscious Routing
Not every request needs a frontier model — we route by task complexity.
- Task-based model routing
- 30-50% typical cost reduction
Production Reliability
Retry logic and fallback providers keep features running through outages.
- Automated fallback routing
- Rate limit handling built in
Frequently Asked Questions
Common questions about our LLM Providers and implementation services.