OpSensus - AI Fixathon 2026 Project

The Event

AI Fixathon 2026, hosted by Impact Hub Porto, was a 48-hour intensive Fixathon focused on Knowledge-as-a-Service (KaaS) for industrial operations.

The event challenged multidisciplinary teams to work directly with companies on real operational problems at the intersection of AI, operations, and process automation.

The Challenge

OpSensus addressed Challenge C: Capturing construction knowledge before it disappears.

The challenge focused on a large construction group facing the risk of losing decades of technical and operational know-how concentrated in senior site managers and engineers. The goal was to capture fragmented, tacit construction knowledge and turn it into a scalable, real-time knowledge service for workers on site.

The Project

OpSensus turns shop-floor know-how into production intelligence.

The solution was developed around a practical knowledge workflow: capture what experienced workers know, organize it into reusable operational knowledge, and make it available to site teams when decisions need to be made.

Rather than treating knowledge as a static document repository, OpSensus focused on the process through which tacit know-how becomes useful in day-to-day operations. The concept explored how site situations, recurring questions, procedures, lessons learned, and expert explanations could be collected from fragmented sources and turned into a structured knowledge base.

The proposed workflow followed four main steps:

  1. Capture: gather operational knowledge from experienced workers, project documentation, procedures, and real site situations.
  2. Structure: transform fragmented information into contextualized knowledge units connected to tasks, roles, locations, materials, and project phases.
  3. Validate: keep experts in the loop so that generated answers and reusable knowledge remain grounded in real operational practice.
  4. Deliver: provide workers with a real-time knowledge service that can support decisions on site without depending exclusively on the availability of senior staff.

This process-oriented approach positioned AI as a way to preserve and operationalize human expertise, not as a replacement for it. The goal was to make construction knowledge easier to retrieve, verify, reuse, and improve over time.

The Team