Riglytic
Digital Mobility
Moves teams away from paper and toward real-time information sharing — ensuring transparency, timely risk assessment, and more dependable outcomes across the project.
AI for Engineering-Intensive Industries
Drill into your project data with AI
Riglytic automates data from the project-execution phase to keep budgets, materials, and crews in sync — helping construction, oil & gas, and other engineering-intensive teams cut delays and cost overruns before they happen.
Why It Matters
Construction is notorious for resource-planning, risk-management, and logistical difficulties — and the same complexity shows up across other engineering-intensive industries, from civil construction to oil & gas. The numbers back it up.
80%
of construction projects run over budget
American City & County, 2022
20%
longer than scheduled, on average, to finish
American City & County, 2022
$57T
needed in global infrastructure spend by 2030
McKinsey Global Institute, 2016
8.5%
CAGR growth of the construction management software market through 2030
Market research, 2022
Different stakeholders on a project generally use disconnected information systems, resulting in low connectivity and redundant work at every stage — a gap AI-driven, real-time data can close, whether the project is a downtown tower or a refinery turnaround.
How Riglytic Works
Riglytic automates data embedded in the project-execution phase to help manage complex engineering and industrial projects — from civil construction sites to oil & gas facilities — improving supply chain, resource, and materials monitoring, and the risk management of on-time completion.
Project Scheduling
Creates, allocates, and prioritizes jobs in real time, tracks progress online, and automatically sends work plans and schedules to every team.
Materials Management
Identifies, tracks, and locates supplies, spools, and equipment across the entire supply chain and work front.
Advanced Analytics
Applies machine learning to project data for more precise forecasting — helping teams adapt as the work develops and invest in the right resources.
Riglytic in Practice
Riglytic is in early development — these are illustrative scenarios of how it is designed to work, not case studies from live deployments.
A change order shifts the schedule — what happens to the budget?
When a scope change delays a task, Riglytic syncs against the project's cost compositions and recalculates the financial impact of the new schedule instantly — so the team sees the budget consequence before committing to the change, not weeks later during reconciliation.
Which crew should take the next critical task?
Riglytic allocates teams according to task complexity and required specialization, using historical productivity data to prioritize critical-path activities first — reducing the chance that the wrong crew, or an overloaded one, becomes the project's next bottleneck.
About the Founder
Lenito Ribeiro is a Civil Engineer whose academic background has been formally evaluated as equivalent to a combined Bachelor's and Master's degree in Civil Engineering, along with graduate-level work in Occupational Safety Engineering, IT Project Management, Applied Statistics, and Data Analysis & Applied Mathematics. For the past five years, he has worked as a Civil Engineer in Brazil and New Zealand, including nearly a year as a designer, and has worked in data — as a Senior Developer, PL/SQL Developer, and Data Analyst Consultant — since 2004.
He holds an Advanced English Certificate from Canterbury University (New Zealand) and a Scrum Foundation Professional Certification, and has completed hands-on training in Microsoft Azure data fundamentals and data science (DP-900, DP-100) and Databricks — the same modern data stack behind Riglytic's own analytics.
Get Early Access
Interested in Riglytic for your projects, or exploring a partnership? Send a message and we'll follow up.