Modernizing Construction with Machine Learning
Learn how a construction company of $200 million revenue and +1000 employees leveraged Jalasoft’s expertise in machine learning to enhance their platform.
A leading North American construction technology company specializing in project intelligence and preconstruction solutions. The organization provides data-driven platforms that help contractors, suppliers, and project owners improve planning, bidding, and execution across large-scale construction projects.
Key Challenge
The client needed to process and structure large volumes of unstructured construction data, making it difficult to generate accurate insights and scale data-driven decision-making.
Key Result
Jalasoft implemented machine learning models that automated data extraction and classification, improving data accuracy, accelerating insights, and enabling scalable, intelligence-driven operations.
Summary
Our Key Takeaways and What We Built Together
The company turned to Jalasoft to replace their former provider and take their preconstruction platform to the next level. By leveraging Jalasoft’s technical expertise and collaborative approach, the partnership led to platform optimization, a better user experience, and accelerated development cycles.
The challenge
A Machine Learning Challenge
With over 1,000 employees and $200 million in annual revenue, the company faced the challenge of replacing their former provider while adhering to a strict transition plan. They needed a partner with a proven track record, experienced engineers, and the ability to scale quickly to meet their evolving needs. The challenge was not only about maintaining continuity but also about pushing the platform forward with enhanced capabilities.
The solution – Jalasoft’s Approach
Scalable Delivery with Built-In Agility
Onboarding training sessions
Each new team member participated in a structured onboarding process, including walkthroughs of the environment, product architecture, and development workflows. This enabled fast ramp-up without compromising quality.
Living documentation
Teams maintained and continuously improved internal documentation. New members reviewed and updated materials as they onboarded, ensuring the documentation remained current and useful for the next wave of engineers.
Mob programming sessions
To promote shared ownership and accelerate knowledge transfer, engineers participated in collaborative coding sessions. Experts guided peers through live tasks, rotating roles and responsibilities to spread knowledge and foster mentorship.
One-week agile sprints
Short sprint cycles allowed for rapid iteration, early validation of ideas, and faster delivery of value. Regular feedback loops helped managers and leads course-correct in real time, molding the product to meet evolving business needs.
Engineered for Excellence: The Team Behind the Work
Results
Platform Enhancements and Key Outcomes
Jalasoft’s team delivered measurable improvements across the board—most notably in validation speed, platform stability, and team agility. Our support in implementing a new AI-powered automation approach enabled the client to quickly validate new code and detect regressions, significantly boosting release confidence and system stability.
Faster validation cycles with AI automation
By integrating AI-driven testing strategies, Jalasoft enabled quicker validation of new implementations and rapid detection of bugs post-merge, significantly reducing manual effort and accelerating delivery cycles.
Accelerated software development
Jalasoft’s expertise in software development streamlined the Company’s development processes, leading to a faster time-to-market for new features and enhancements.
Rapid MVP delivery with full team setup
We assembled and ramped up a complete engineering team in record time. The team delivered a minimum viable product quickly, exceeding expectations and demonstrating Jalasoft’s ability to scale with speed and precision.
Flexible tech stack adaptability
Jalasoft engineers adjusted their skillsets based on the client’s evolving needs, transitioning across languages like C#, Java, and JavaScript, and taking on both backend and frontend responsibilities as required.
Bridging knowledge gaps through documentation
Facing limited and inconsistent documentation, our engineers took initiative to centralize and enhance internal documentation, ensuring smoother onboarding and more efficient collaboration across teams.
Enhanced image processing with Machine Learning
By leveraging Jalasoft’s expertise in machine learning, the platform’s image processing capabilities were enhanced, enabling faster and more accurate bid preparation.
