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FloTorch
Cloud-based agentic AI platform for enterprises
Table of Contents
FloTorch - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: September 2026
FloTorch overview
What is FloTorch?
FloTorch is a cloud-based enterprise platform designed for organizations building and operating GenAI applications in production. Deployable on AWS and GCP, with an open-source version available on a customer's own AWS account, it covers the full GenAI stack: agentic workflow orchestration, LLM gateway management, production-grade RAG pipelines, intelligent caching, and end-to-end observability. The enterprise version supports any LLM model and any vector database across any cloud platform, making it model-agnostic and framework-flexible. Target users include CIOs, CTOs, automation leaders, developers, data scientists, and machine learning engineers across industries such as healthcare, finance, legal services, retail, insurance, marketing, travel, and semiconductors.
FloTorch provides a no-code drag-and-drop workflow builder alongside a developer SDK for orchestrating multi-agent pipelines, enabling both technical and non-technical teams to build and modify agentic workflows without dedicated engineering support. A single LLM gateway endpoint routes queries to any proprietary or open-source model based on configurable latency and cost thresholds. RAG pipelines support configurable chunking, embedding, hybrid dense and sparse retrieval, and reranking to reduce hallucinations and improve document grounding. A recommendation engine analyzes benchmarking data, query type, latency, and accuracy parameters to suggest new model and pipeline experiments, accelerating data-driven decisions across model selection, vector database selection, and evaluation strategies.
Governance and security capabilities include role-based access control (RBAC), audit logging, API rate limiting, and data encryption, supporting enterprise compliance requirements. Real-time observability delivers per-step telemetry tracking inputs, outputs, latencies, retries, and errors, with auto-generated dashboards per workflow or environment. Agent memory is supported via Agentic Core Memory and Mem0 integration. FloTorch integrates with LangChain, CrewAI, Groq, Together AI, Fireworks AI, AWS Bedrock, GCP, and GitHub, and exposes an OpenAI-compatible API layer. Model fine-tuning and quantization (GGUF, AWQ, GPTQ formats) are supported for production inference, along with LLM-as-a-Judge evaluation pipelines with domain-specific evaluation suites.
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