Lunon

Lunon describes itself as the world's first AI-native consulting firm, delivering commercial diligence, market intelligence, and strategy work for private equity and advisory teams. Its model inverts the traditional consulting arrangement: humans set direction and sign off on judgement, while specialised AI agent teams perform the research and analysis, with institutional-quality, board-ready outputs produced in days rather than months.

Underpinning this is a technical stack built around AI agents and multi-agent systems, natural language processing, information retrieval and verification, market research automation and data analysis. Rosetta, Lunon's proprietary claim tracing and verification system, traces and verifies every claim the AI analyst teams produce - an explicit answer to the provenance problem that accompanies machine-generated research.

The work is organised through a disciplined engagement pipeline. Specialised AI analyst agents investigate market size, competition, pricing, risks and value creation opportunities, assembling the volume of analysis that once required large junior teams. Lunon argues that traditional firms charge hundreds of dollars per hour for analyst work that AI can now do faster and more rigorously - a direct challenge to the pricing norms of established consulting.

For engineers, the appeal lies in the substance of the systems: multi-agent orchestration, retrieval and verification infrastructure, and outputs held to the standard of institutional diligence. The operating culture prizes speed, rigor and traceable claims, and treats the pipeline itself - disciplined, auditable, human-supervised - as the product.