FloTorch is an all-in-one GenAI platform designed to help organizations scale AI initiatives from experimentation to production. It provides robust Agentic Workflow Management that simplifies the orchestration of multi-step AI tasks, enabling teams to build, test, and deploy intelligent applications faster. With LLMOps & FMOps Optimization, teams can monitor and fine-tune large language model performance while minimizing latency and token costs.

Built with enterprise needs in mind, FloTorch features dynamic LLM routing, prompt management, and cache management to improve response accuracy and efficiency. It also offers a unified gateway for secure access to multiple foundation models, along with RAG pipelines and a recommendations engine that boost retrieval quality and relevance. The no-code workflow builder empowers non-technical users to contribute, while real-time usage tracking and enterprise-grade security & guardrails ensure governance and compliance at scale.

FloTorch stands out by delivering performance, transparency, and control across the entire GenAI lifecycle. Whether you're optimizing cost, experimenting with prompts, or routing across models, FloTorch enables teams to operationalize GenAI with speed and confidence.

Highlights:

End-to-end Agentic Workflow Orchestration
Advanced LLMOps & FMOps optimization
LLM Routing for latency, accuracy, and cost tuning
No-code workflow builder for rapid prototyping
Unified gateway for model access and control
Built-in RAG pipelines for context-aware AI
Real-time performance, usage, and cost analytics
Enterprise-grade security, compliance, and access guardrails
Integrated prompt & cache management for optimization
Recommendations engine for dynamic context enrichment

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