Enterprise AI Agent
Five specialist models. Five security layers. Under one second total. The full production stack for governed AI agent operations.
Enterprise AI agents need intent classification, PII detection, reasoning, safety validation, and compliance filtering. Separate cloud LLM calls for each layer add up to 6+ seconds with data leaving your perimeter at every hop. Five specialist LFMs execute the full pipeline in under one second, entirely on-premises, at a fraction of the cost.
1 specialist model
How It Works
Five specialist models in sequence,
each solving one hard problem
Five Layers, Each Independently Fine-Tunable
Intent classification routes the request. PII detection sanitizes sensitive data. A 1.2B reasoning model generates the response. Agentic pre-flight validates any tool calls. Compliance filtering catches regulatory violations before delivery. Each layer is a specialist model, independently trainable via LEAP. Swap one without touching the others.
Under One Second, End to End
Cloud LLM architectures serialize API calls: 500ms for intent, 300ms for PII, 2s for reasoning, 500ms for safety, 300ms for compliance. Total: 3-6 seconds with five network round-trips. The specialist pipeline runs all five layers on local GPUs in under one second. Dramatically faster and cheaper.
Data Never Leaves Your VPC
Every layer runs on your infrastructure. No API keys to cloud providers, no data residency trade-offs, no per-call pricing that scales with volume. The entire pipeline processes customer tickets at a fraction of cloud cost. At enterprise volume, the economics are transformational.
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