The new era of asset management in your operation begins with reliable data and AI models tailored to your operations.
With Arkham, large infrastructure funds are moving away from fragmented systems and reactive decision-making. They are unifying their data into a platform that transforms information using AI models tailored to their businesses, driving decisions that improve performance, profitability, and operational efficiency for their teams.
CHALLENGE
The CFO and the asset management team at MIP sought to optimize the management of road assets—a process that depended on manual centralization of data and reports. Due to its complexity, this process made strategic decision-making difficult in a dynamic operational environment.
SOLUTION
MIP integrated data from all its roads and related assets into Arkham’s Data Lakehouse.
Once this milestone was achieved, the team automated all Asset Management reports and simplified access to business intelligence using Generative AI.
Finally, they developed Machine Learning models to automate traffic forecasting (TPDA) applied to the infrastructure investment trust (fibra).
IMPACT
IMPLEMENTATION PHASES
Technology and business teams in companies like Circle K and Kimberly-Clark trust Arkham to unify fragmented data, standardize key metrics, and solve critical challenges with AI models tailored to their operations.