Aurelio Labs
Aurelio is an applied AI lab that builds an open-source semantic mesh for production AI agents: semantic-router for routing and decisions, semantic-chunkers for meaning-based ingestion, and graphai for orchestration. It also develops production agents and AI software for organizations.
At a Glance
- Startups building AI products
- Enterprise AI and software teams
- AI/ML and NLP engineering teams
- Developers building LLM agents and RAG systems
- +1 more
AI Tools by Aurelio Labs
(1)
Semantic Router
LLM Query Routing Library
Discussions
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Latest News
Semantic Router January Update: v0.1.0
Aurelio published a production-focused OpenAI Agents SDK learning series covering alternative model providers, guardrails, local agents, multi-agent systems, prompting, RAG, streaming, tools, tracing, and voice agents.
Building the Future of Agents for Ecommerce
Lora Fine-tuning with NVIDIA NeMo
Products & Services
MIT-licensed Python decision layer for LLMs and agents that routes requests by semantic meaning in vector space instead of using an LLM generation for every tool-use, safety, or intent decision. Supports static, dynamic, and defensive routes, local execution, and cloud or local encoders/indexes.
MIT-licensed multi-modal chunking library for text, video, and audio. It includes Statistical, Consecutive, Cumulative, and Regex chunkers and aims to create context-aware retrieval chunks where meaning changes rather than splitting at arbitrary character counts.
MIT-licensed lightweight, modular graph-based AI framework for building agents and workflows with nodes, edges, routers, parallel branches, joins, async execution, and direct control over LLMs, embeddings, vector databases, and observability.
Self-paced courses and articles covering LangChain, OpenAI Agents SDK, and Semantic Router for Production, plus practical tutorials on retrieval, agents, models, tooling, and AI engineering.
Market Position
Aurelio positions itself as a small applied-AI lab and open-source alternative to monolithic, LLM-centric agent stacks. Its differentiation is a semantic mesh that separates fast deterministic routing, meaning-based ingestion, and modular graph orchestration; Semantic Router competes conceptually with intent/tool routers and frameworks such as LangChain/LangGraph, while emphasizing lower latency, lower inference cost, local execution, and more predictable behavior.
Leadership
Founders
James Briggs
Founder of Aurelio AI; previously worked at Pinecone, where he helped shape the vector-database industry, and is known for developer advocacy, AI engineering education, NLP, search, retrieval-augmented generation, and open-source tooling.
Executive Team
James Briggs
Founder
Former Pinecone developer advocate/AI engineer; specializes in NLP, search, RAG, agent systems, open-source software, and technical education.
Founding Story
Aurelio was started as an AI engineering and applied-research lab focused on making real-world AI systems more controllable, predictable, and useful. Its initial vision was to combine practical NLP and information-retrieval engineering with open-source tools and production systems, rather than relying on slow, opaque LLM generations for every agent decision.
Business Model
Revenue Model
AI development and consulting for startups and enterprise organizations, alongside educational course content; the core Aurelio mesh libraries are open source and MIT licensed.
Target Markets
- Startups building AI products
- Enterprise AI and software teams
- AI/ML and NLP engineering teams
- Developers building LLM agents and RAG systems
- Organizations needing controllable, low-latency, or locally deployable AI
- Agent tool selection and intent routing
- Safety guardrails, jailbreak detection, and policy deflection
- Customer-support and enterprise knowledge-base routing
- Retrieval-augmented generation ingestion and semantic chunking
- Multi-agent orchestration and long-running workflows
- Local/private AI systems without API dependencies
- McGraw Hill
- Red Hat
- Pinecone
- Internet Archive