In today’s fast-paced construction landscape, early identification of design-related risks is essential for project success. Firmus, a cutting-edge AI solutions provider, is at the forefront of this challenge, leveraging proprietary algorithms to analyze PDF drawing sets and provide pre-construction teams with insights that help mitigate risk, bid more accurately, and safeguard reputations. Their AI-powered analysis plays a crucial role in reducing costly errors, delays, and rework.
But what if their AI model lacked the precision and robustness required to meet the demands of their clients? That’s where Yenda stepped in.
Firmus’s proprietary AI relies heavily on labelled data to train its algorithms for accurate decision-making. This requires a deep understanding of the construction industry, where errors in labelling could lead to significant inaccuracies. Firmus needed industry-specific, skilled personnel to label their training data — a resource-intensive process they couldn’t afford to mishandle.
We’re a Zambian-based outsourcing company, specializes in recruiting industry-specific university students to provide top-tier talent for our clients. Firmus came to us for our unique ability to source and recruit students who majored in structural engineering and therefore, possess a strong understanding of construction concepts. In addition to recruiting, we fully train our data labelling teams, ensuring they are prepared to handle the intricacies of the task.
We have a project lead specifically for each project managing weekly operations, as well as a project management team that ensures timely delivery and coordinates with clients. For Firmus, our project management team expertly handles working shifts, ensuring the workflow is uninterrupted, and that Firmus’s AI model receives timely and accurate data. They also provide detailed progress reports, allowing Firmus to monitor the project without needing to get involved in the day-to-day management of the outsourced team. This allows Firmus to focus on refining their AI model without worrying about the logistics of team management. This hands-off approach is invaluable for Firmus, who were able to concentrate on improving the quality and performance of their product.
