CognyFlow

CognyFlow is India's first collective intelligence orchestration network, designed to fuse multiple computational models into a single, superior system. Key features include: * Unified API for diverse models (Gemini, DeepSeek, NVIDIA NIM, custom) * Real-time model blending and arbitration * Under 100ms latency for collective responses * Automatic fallbacks and real-time streaming * AES-256 encrypted security This platform introduces a novel swarm architecture that dynamically combines outputs from various foundation models, outperforming individual model capabilities. It enables users to switch models mid-session, chain providers, and implement fallback logic rapidly through a single API endpoint. The system provides token-by-token SSE delivery under 100ms, allowing responses to materialize character by character. CognyFlow ensures robust security with AES-256-GCM encryption for API keys at rest, JWT session tokens, and edge-native authentication. Users can also register custom endpoints like vLLM, Ollama, or TGI. The platform includes live benchmarking tools to compare latency, cost, and throughput across different models in real-time, offering side-by-side metrics. Built by Indian developers using proprietary technology, CognyFlow is ideal for developers, engineering teams, and enterprises seeking advanced computational model integration, especially for prototyping with free model orchestration or deploying enterprise-grade collective intelligence applications. It supports a wide range of foundation models and offers high uptime with rapid response times.