AI construction technology company Buildots announced the launch of Dot, an interactive AI assistant for construction process management that answers questions with up-to-date information about the status of building activities.
The new tool, the first of its kind in the construction sector, leverages Buildots' dataset and GenAI to provide instant insights in response to direct questions. Dot cross-references multiple data points to provide in-depth analysis, making it easier to measure progress, track implementation, and provide visibility to resolve issues before they escalate.
Buildots' centralized platform makes construction management provides objective progress analytics, enabling teams to improve productivity, predict delays, and ensure resource allocation at every stage. Recognizing that information is best consumed in various formats, Dot now complements Buildots' visual interfaces by offering a more flexible and intuitive way for users with varying levels of technical expertise and knowledge to interact with the vast amount of project data at their fingertips.
"At Buildots, our mission has always been to enable better construction management to allow site leaders to deliver projects on time and within budget,” said Roy Danon, co-founder and CEO of Buildots. “With Dot, we're enabling a whole new way of accessing project information, as if they’re speaking with a colleague, receiving precise insights when they need them. This AI assistant is transformative, giving project team superpowers in terms of how they can access and interpret project data to enhance decision-making.”
Dot answers construction teams' construction-related queries, providing the type of detailed insights that enable a step-up in performance. Users ask Dot about progress percentages, task completions, or trade-specific updates using everyday language. They can follow up on those questions to dig deep and get invaluable information that would otherwise be difficult or time consuming to obtain. Dot also provides answers for work readiness start and end dates, and even handles more complex queries with multiple criteria, uncovering deeper insights and connecting disparate data points.
Superintendents can use Dot to guide subcontractors by cross-referencing conditions and ensuring multiple prerequisites are met before starting new tasks. For instance, a superintendent might ask, “Give me a list of apartments where drywall closure is completed but bathroom tiling hasn't started,” enabling them to prioritize the right tasks and allocate resources efficiently.
Powered by OpenAI’s latest GPT models, and rigorously trained by Buildots to work for the construction domain, Dot translates natural language queries into actionable insights by interpreting requests and querying Buildots’ comprehensive project database. With an understanding of industry-specific terminology and project context, Dot simplifies the process of data retrieval for all users, regardless of their familiarity with technical terms.
