Vendor Case-study
The DotInfinity Technology Hub is a home to innovative and path-breaking tech providers that provide innovative AI- and Deep-tech-driven solutions to the market. Here, we showcase how our vendor partners drive innovation and deliver measurable results, starting with this featured case study showcasing their unique challenges, the tailored solutions developed in collaboration with DotInfinity, and the tangible impact achieved for their customers. Discover what’s possible when forward-thinking technology and human-centric design come together.
DATCH.IO
AI-Powered Troubleshooting for Real-Time Asset Management
In high-stakes industrial environments, equipment downtime is more than an inconvenience, it’s a direct hit to productivity, safety, and revenue. For frontline technicians, the challenge isn’t just fixing a fault, it’s finding the right knowledge, quickly. That knowledge often lives across siloed systems, legacy documents, or in the minds of seasoned experts.
Diagnostic Agent puts the weight of the enterprise behind every technician, operator, and engineer on the frontline, enabling them to resolve issues faster, more accurately, and with minimal disruption. Built specifically for real-time troubleshooting and asset management, Diagnostic Agent transforms industrial knowledge into action.
The Challenge
Business Challenges:
Unplanned downtime from equipment failure leads to escalating operational costs and production delays.
Institutional knowledge is at risk of disappearing as experienced technicians retire or become less available.
Traditional maintenance approaches rely heavily on manual searches, tribal knowledge, or fragmented documentation.
User Challenges:
Technicians struggle to locate relevant documentation quickly, especially under pressure.
Following proper procedures during fixes is critical, but information is often buried across disparate systems.
· Without access to real-time insights or historical context, diagnosis often becomes guesswork.
The Solution
Diagnostic Agent is an AI-powered assistant that equips frontline teams with instant access to the full operational context surrounding equipment issues. Whether it’s a work order from six months ago or a hidden insight buried in a PDF manual, Diagnostic Agent surfaces what matters—so users can stop guessing and start fixing.
Technicians begin by selecting the piece of equipment they’re working on. The system automatically compiles all related content, OEM manuals, alarms, procedures, past jobs, structured through a customized operational ontology designed to reflect the realities of the business. Technicians can explore information through a user-friendly, multi-tab document viewer or ask specific questions using voice or text input. Diagnostic Agent then delivers clear, contextual responses, including next steps and linked documents.
Key Features:
Instant Access to Operational Context: Connects and aligns data from CMMS/EAM systems, manuals, and alarms for a 360° view.
Voice or Typed Input: Hands-free interaction designed for active field environments.
Multi-Tab Document Drawer: View technical procedures and specs side-by-side without switching tools.
Insight Categorisation: Groups answers by type: procedures, past jobs, technical data, so users can hone in on what’s relevant.
Solution Confirmation Loop: Lets users verify effectiveness of solutions, improving future recommendations.
Cortex™ Intelligence Layer: Proprietary agentic workflows determine the optimal path to resolution, adapting in real time.
Knowledge Gap Detection: Automatically flags missing documentation so teams can continuously improve their knowledge base.
Field-Ready & Fully Managed:
Diagnostic Agent is purpose-built for mobile use in the field. It runs seamlessly on smartphones and tablets without disrupting technicians’ workflow. Unlike many AI tools that require ongoing setup and maintenance, Diagnostic Agent is fully managed and continuously improved by Datch’s team, meaning your operations team focuses on uptime, not upkeep.
Accessibility & Design Standards
The product follows WCAG 2.0 AA design standards, ensuring all features are visible, legible, and accessible for all users. Every tap target and label has been designed with practical usability in mind, especially in high-pressure or physically constrained environments.
Impact
Though newly launched, Diagnostic Agent has already demonstrated strong traction through internal reviews and early field use:
15x Faster Troubleshooting: Compared to manual search and legacy tools.
Reduced Downtime: Faster fixes mean less production interruption.
Increased Workforce Autonomy: Junior technicians resolve complex issues without SME involvement.
Stronger Knowledge Retention: Institutional knowledge becomes a living system that doesn’t walk out the door.
Positive Early Feedback: Users call it “so simple to use” and “exactly what we need in the field.”
Diagnostic Agent sets a new benchmark for AI in industrial maintenance—putting contextual intelligence in the hands of the people who need it most, exactly when they need it.