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Bringing AI into Real Enterprise

Signal AI combines open-source maintainers, academic and industrial researchers, platform engineers, and commercialization specialists to bring AI into real world.

Open Source
Research
Engineering
Commercial
Signal AI

Open-source Founders

Core builders behind the vLLM, PyTorch, CNCF and Linux Foundation ecosystem.

Frontier Researchers

Research contributors focused on bringing and pushing the frontier of AI routing science.

Large-scale Engineers

Platform engineers with production experience in enterprise AI and distributed systems.

Commercialization Experts

Operators and solution leaders translating core technology into enterprise adoption.

Publications

Research artifacts and white paper that shape the product core

White Paper · vLLM Semantic Router

vLLM Semantic Router: Signal Driven Decision Routing for Mixture-of-Modality Models

A full technical and commercialization overview covering signal-driven routing, three-layer architecture, safety controls, and productization strategy.

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NeurIPS MLForSys 2025

When to Reason: Semantic Router for vLLM

Selective reasoning routes hard queries to deep reasoning models while keeping simple paths efficient.

Open publication

arXiv 2025

Category-Aware Semantic Caching

Dynamic cache threshold and TTL strategy by query class to improve reuse without quality regression.

Open publication

IETF Draft 2025

Semantic Inference Routing Protocol (SIRP)

Protocol-level semantics for classification-aware model routing across AI infrastructure layers.

Open publication

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Build the next generation of AI infrastructure

We are looking for people who care about system-level AI, from research and infrastructure to product.

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