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FLOTorch Enterprise

FLOTorch is an end-to-end GenAI platform designed for enterprises building production-ready AI applications. It simplifies Agentic Workflow Orchestration, streamlines LLMOps, and enables dynamic routing across leading foundation models. All with built-in cost, latency, and accuracy optimization. With features like no-code workflow builder, RAG pipelines, real-time usage insights, and enterprise-grade security, FLOTorch empowers teams to move from prototype to production faster. Accelerate your GenAI journey with confidence and scale
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About

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 Optimisation, teams can monitor and fine-tune large language model performance while minimising 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 optimising cost, experimenting with prompts, or routing across models, FLOTorch enables teams to operationalise 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 optimisation

Recommendations engine for dynamic context enrichment

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