Seamlessly embed LLMs and ML models into your existing stack via clean APIs.
Start a ProjectOverview
You don't need to rebuild your product to add AI. We integrate intelligence directly into your existing systems through clean, well-documented APIs. Our model-agnostic approach means you're never locked into OpenAI, Anthropic, or any single provider.
We handle the hard parts — inference infrastructure, auto-scaling, rate limiting, fallback routing between providers, and monitoring — so your engineering team can focus on building great products.
Key Capabilities
Why choose us
Switch between OpenAI, Anthropic, open-source models, or custom fine-tunes without code changes.
Clean REST and streaming endpoints with authentication, rate limiting, and versioning.
Managed infrastructure that scales automatically with your traffic — zero DevOps needed.
Automatic fallback and load balancing across multiple model providers for reliability.
How it works
Define the specific AI capability being added to your product — generation, classification, search, summarization, or conversation — and select the optimal model (OpenAI, Anthropic, Google Gemini, or open-source) based on cost, latency, accuracy, and data privacy requirements. API contract and streaming strategy designed before any code.
Design the API surface your product will integrate with — REST or streaming endpoints, authentication, rate limiting, versioning, and fallback routing between providers. Infrastructure architecture: model serving layer, caching strategy (for deterministic queries), and scaling approach.
Implement the inference layer with provider abstraction (swappable backend without code changes), streaming response handling, structured output parsing, and error handling. Integration tested against your product's actual use patterns with real production data volumes.
Load testing to verify scaling behavior. Latency monitoring and cost tracking dashboards configured. Fallback routing between providers tested for reliability. Complete API documentation and SDK delivered to your engineering team for self-service integration.
Measurable impact
Model-agnostic architecture — swap providers without code changes
99.9%+ uptime via multi-provider fallback routing
Average response latency under 800ms for production chat endpoints
Technology stack
FAQ