Orchestrate multi-modal AI models, fine-tune vector databases, and stream real-time intelligence to your applications with zero GPU infrastructure setup.
CognitiveAI operates an ultra-low latency GPU edge network. Our developer platform simplifies RAG indexing, prompt optimization, and AI model deployment down to simple REST API endpoints.
Text, vision, audio & code models
Milvus & Pinecone auto-sync
Monthly Neural Token Inferences Processed
Monthly Inferences
Streaming Latency
API Uptime SLA
Building On CognitiveAI
Deploy model weights across 40+ global POPs to serve inference requests with sub-50ms round-trip latency.
Connect PDF documents, Notion databases, or SQL schemas to create instant semantic vector embeddings.
Upload custom JSONL training datasets to fine-tune Llama 3 or Mistral models with 1-click execution.
Drop in CognitiveAI API keys as a drop-in replacement for OpenAI SDKs without changing a single line of code.
Enterprise prompts are never used for AI model training or stored on persistent storage drives.
"CognitiveAI cut our LLM inference costs by 65% while delivering sub-second response streaming to our mobile AI users."
For prototyping and indie AI applications.
For enterprise AI production apps with SLA.
Questions about custom model fine-tuning, private VPC GPU clusters, or SOC2 compliance?