01
Outsourcing
Research and development support for partner companies, including evaluation of technologies and recommendations for their practical use.
§ 05 / R&D
Research with a practical purpose.
We explore data processing, applied machine learning and construction-cost analytics. The aim is to test approaches and understand where they can be useful in products and project planning.
INITIATIVES
02
Data Science
Data analysis, machine learning and statistical modelling to examine business questions and support decisions.
03
Machine Learning
Developing and evaluating models for specific tasks, with attention to data quality, performance and practical limitations.
LEADERSHIP
Iaroslav Argunov
CHIEF INNOVATION OFFICER
Iaroslav leads Alesium's R&D practice since 2022, translating AI research into scalable products. Expertise: large-scale data parsing, applied AI, data-science pipelines, construction-cost analytics. Bachelor's in Economics; dual Master's in Project Management and Business Analytics. Publishes in peer-reviewed journals.
linkedin.com/in/i-argunov →SELECTED PUBLICATIONS
Comprehensive Methodology for Forecasting Cost Schedules in Large-Scale Urban Projects
PGS JOURNAL
NOVEMBER 2022
World Experience in Master Planning
ANNUAL RANEPA CONFERENCE
MAY 2024
Cost Forecasting in Construction Programs
PGS JOURNAL
NOVEMBER 2024
