uptime a 4 ans. Chez uptime, 50% de l’équipe est focus sur la R&D depuis la création. Nous travaillons sur une petite niche de sales gosses : les ascenseurs. Un oligopole de quatre multinationales qui pèsent plus de 100 milliards d’€ de valorisation grâce à leurs revenus récurrents de maintenance, pas toujours dans l’intérêt des clients (KONE — KNEBV est valorisé 37x son profit, comme Alphabet — GOOG).

En 4 ans, nous avons développé la plateforme de maintenance prédictive la plus avancée de l’industrie, grâce à trois ingrédients et une recette spéciale :

• une vision qui place la maintenance prédictive…

After publishing a series of articles five months ago outlining our contrarian vision of the elevator market, we received a great deal of attention from top executives, industry experts, and equity investors. They asked us similar strings of follow-up questions, which can be summed up as follows:

• Isn’t it simply a matter of time before the Big 4 are able to replicate uptime’s innovation?
• How does uptime scale?
• Are you the only company on the market doing this?

Because we believe the industry is on the brink of a revolution, we decided to make our answers public.

Predictive maintenance will shift the value from labor operators to tech operators.

As we detailed…

How predictive maintenance can solve the global elevator problem, if executed with the right product vision.

Our previous article explored how the elevator maintenance business model is in bad shape:

• It revolves around an outdated means vs. ends model in which the customers purchase maintenance visits and breakdown response.
• This model encourages an inefficient productivity hunt by service providers, driving up breakdown rates and reducing the quality of service.
• These productivity gains then entail structural churn of the portfolio units and a decrease in maintenance prices — we call this process the commoditization of the market.
• This commoditization is barely…