CLōD is a programmable AI inference platform that gives teams full control over how AI models behave, including cost, latency, routing, output behavior, and privacy, compliance, and data security.
While most inference platforms focus on providing access to AI models, CLōD focuses on what matters after access: control.
With a single API, developers and AI teams can route across 30+ frontier and open-source models, tune inference parameters per request, and apply governance or RAG when needed, without vendor lock-in or performance tradeoffs.
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Key Benefits
1. Customized Inference Strategy: Optimize every request for cost, speed, latency, and performance with up to 30% lower spend and 70% dev cycles.
2. Premium Model Access with Predictable Pricing: Route across 30+ frontier models with automatic fallback for 99.9%+ uptime during spikes or outages.
3: Governance Guardrails On-demand: Enable deterministic filters, policy compliance, and audits for zero hallucinations in critical workflows.
4. Effortless RAG with Zero Overhead: Bring your own data and knowledge source to get accurate, context-aware output. No vector DB or extra infra required.
Key Data Points:
- Up to 30% Lower Inference Spend
- 70% Faster Development Cycles
- 0% Hallucinations in Guarded Flows
- 30+ Frontier & OSS Models
- Up to 250+ Tokens/Sec Throughput
- 99.9%+ Uptime with Smart Fallback
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How CLōD Engineers Predictable, Controlled AI Inference?
CLōD treats every model call as an optimizable compute decision, not a fixed API request. Behind the scenes, we continuously benchmark models, track live latency and token economics, and enforce your inference strategy to route each request through the most efficient and reliable path.
With CLōD, inference becomes programmable, so that you can gain back control over AI.
- Programmable Routing: Dynamic selection of model and region for lowest cost/latency, with automatic fallback.
- Live Benchmarking: performance scan every 30min across all providers to predict speed, stability, and token economics.
- On-Demand Guardrails & RAG: Deterministic safety, filtering, and contextual grounding applied per request.
