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Interview
How does Trunk Tools turn fragmented project documentation into actionable insights for general contractors on a day-to-day basis? We’ ve spent a lot of time and cash building what I call the“ brain” of construction. Essentially, we’ re leveraging the latest and greatest advancements in AI but training models specifically on construction data and processes. In the process, we’ re building a knowledge graph that connects the fragmented and unstructured data buried in documents( sometimes millions of pages per project) and helps make explicit the implicit relationships between different documents. For instance, everyone in construction knows that submittals are meant to meet the requirements of certain specifications, and that RFIs might impact that relationship. By training our submittal agent to understand those connections, we can automatically run a submittal review in two-to-three minutes with a very high level of accuracy, often catching discrepancies that humans
miss because there is simply too much information to process. Equipped with this compliance recommendation from our agent, our customers can avoid multiple approval cycles with their architects, run submittal reviews on time so as to avoid a backlog, and eliminate both rework and acceleration costs that happen when late or incorrect submittal reviews turn into delays on a project.
Many companies are cautious about adopting enterprise AI. What helped you earn trust from traditionally conservative construction teams? Even though everyone knows the data about construction being the secondslowest industry to adopt technology, what we’ re seeing with our customers is that the top firms have been pretty quick to pilot AI solutions and are making AI adoption a core part of their growth strategy.
With the massive influx of supposedly AI startups in our construction vertical, we’ ve built trust by listening very closely to
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