# Passion Labs

> Passion Labs is an applied AI research & development laboratory in London. We build custom AI systems, agents and privately deployed LLMs for enterprises — combining PhD-level research with commercial delivery. Independent of vendors; focused on measurable business impact.

## Solutions
- [Passion OS](https://www.passionlabs.ai/passion-os): Managed multi-agent AI workforce that clones entire business functions and runs them as production-grade digital workforces.
- [Passion LM](https://www.passionlabs.ai/passion-lm): Privately deployed large language model — on-premise, VPC or air-gapped — for AI power without sacrificing data security or sovereignty.

## Services
- [AI Research & Advisory](https://www.passionlabs.ai/research-advisory): Board-level AI strategy, governance (incl. EU AI Act), IP due diligence and ROI analysis. Vendor-independent.
- [Agentic AI Systems](https://www.passionlabs.ai/agentic-ai-systems): Custom AI agents and multi-agent systems that integrate with your data and take autonomous action, with safety guardrails and audit logs.
- [Custom Machine Learning Models](https://www.passionlabs.ai/custom-machine-learning-models): Proprietary ML models trained on your data — supervised, unsupervised and reinforcement learning — owned entirely by you.

## Company
- [About](https://www.passionlabs.ai/about): Team of PhD-level ML researchers and engineers; co-founded by Tom Lorimer (CEO) and Dr Nadine Kroher (Chief Scientific Officer).
- [Sectors](https://www.passionlabs.ai/sectors): AI solutions across creative, professional services, financial services, agriculture, health & social care, and media & publishing.
- [Portfolio](https://www.passionlabs.ai/ai-portfolio): Deployed AI systems and ventures, from RL fleet optimisation to AI payroll automation and multi-agent concierge systems.
- [Contact](https://www.passionlabs.ai/contact): hello@passionlabs.ai

## Academy (research & insights)
- [Academy](https://www.passionlabs.ai/academy): Research-led explainers and articles on agentic AI, reinforcement learning, multi-agent systems, LLMs and AI strategy.