{"id":3679,"date":"2026-09-12T11:15:07","date_gmt":"2026-09-12T09:15:07","guid":{"rendered":"https:\/\/lyfx.ai\/?page_id=3679"},"modified":"2026-09-12T11:55:16","modified_gmt":"2026-09-12T09:55:16","slug":"lubricant-expo-2026","status":"publish","type":"page","link":"https:\/\/lyfx.ai\/es\/lubricant-expo-2026\/","title":{"rendered":"Lubricant Expo 2026"},"content":{"rendered":"
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Conoce lyfX.ai en Lubricant Expo Europe 2026<\/a><\/h2>\n\n\n\n

Discovery Theatre: AI co-creation for the concept phase of engineering<\/h3>\n\n\n\n

On 15 September 2026, Andr\u00e9 Moreira presents AutoGraph: AI-native concept engineering in the Discovery Theatre. Early-stage engineering is still manual work: concepts take weeks, assumptions are hard to trace, and knowledge stays buried in past projects. <\/p>\n\n\n\n

AutoGraph puts AI agents that follow norms and specifications into this phase. PFD Bench turns a process flow diagram into an accurate process description in minutes, validated with K-UTEC Salt Technologies and open to try at pfdbench.lyfx.ai. The CAPEX Engine, co-developed with an industrial partner and in beta, produces early capital-cost estimates with transparent assumptions and calculations. The point is not to replace engineers, but to let them explore more innovative options earlier.<\/p>\n\n\n\n

Download: AI Co-Creation<\/a><\/p>\n\n\n\n

Real-world applications of AI in lubricants, with a case from ROWE<\/h3>\n\n\n\n

On 16 September 2026, Andr\u00e9 Moreira is one of the panelists in Real World Applications of AI in Lubricant Development & Formulation. His contribution, From AI Tools to Agentic Organizations, shows how a small AI-first company runs its daily work with AI agents, and used one real case as the example: a market deep dive, run by AI agents and built together with ROWE, one of Europe’s largest independent, family-run lubricant makers.<\/p>\n\n\n\n

lyfX.ai ran the study as a human-AI team. A Claude Code orchestrator, running on Claude Opus 4.8, planned the work with the ROWE team, froze the application taxonomy and dispatched twelve specialist agents: five source extractors, a company profiler, four analysts (technology, market, competitors, industry structure), a report assembler and a monitoring drafter. People set the goals and made the calls; the agents prepared and executed. ROWE’s experts reviewed the result, and their feedback was used for further refinements of the results.<\/p>\n\n\n\n

What came out<\/h4>\n\n\n\n