Luna Nova Information

Luna Nova helps CTOs and Engineering leaders reduce AI costs by up to 30%, at comparable quality, across Coding Agents, AI Software Factories, and AI features and agents in production. Token prices alone do not explain the cost of a successfully completed task. Context, tools, execution loops and rework all matter. We focus on cost per accepted result, not token consumption alone. ◉ How we optimise AI costs while controlling quality Our continuous AI Cost & Quality Engineering cycle: 1. Observe: analyse usage, traces and billed costs. 2. Benchmark: establish a cost and quality baseline on your tasks. 3. Compare: test models, prompts, skills, harnesses, tools and loops on a tailored test bench. 4. Verify: measure cost per accepted result, quality and regressions. AI FinOps guides decisions throughout the cycle. Validated changes can then be deployed and measured in real-world use. ◉ Our services: AI FinOps, AgentOps and strategic consulting 1. AI Software Factory Cost Engineering: control LLM costs across coding agents, harnesses, execution loops and software factories. 2. AI Margin Engineering for IT Products: lower cost per valid outcome for AI features and agents in production. 3. Fractional AI Leadership: structure AI strategy and guide governance, delivery, industrialisation and adoption alongside your teams. For services 1 and 2, a focused audit and proof of concept on a real use case can test optimisation opportunities before rollout. ◉ From strategy to implementation Founded in 2023 by Rik Dams, Luna Nova draws on 15+ years of experience leading digital products and programmes, including work for John Deere and Bosch Siemens Home Appliances. Expert consultants can join depending on the project. Want to understand what your coding agents really cost, or how AI affects product margins? Let's discuss your situation: lunanova.ai