Plan maintenance based on insight, not intuition

Using machine learning and OEM logic, Tacmin.ai interprets fault codes, usage cycles, and degradation patterns to forecast maintenance needs. From wear trends to early warning signals, issues are detected well before failure. This supports proactive planning and reduces the impact of downtime across production-critical assets.

Customer Value:

• Reduces unplanned failures and lifecycle costs
• Enables condition-based and predictive interventions
• Supports replacement forecasting and capital planning
• Strengthens uptime and operational continuity

Digitally prepared, logistically ready

Before site deployment, Tacmin.ai builds a digital twin of your fleet and maintenance workflows—complete with work orders, spares logic, task libraries, and condition triggers. Parts demand is forecasted based on real usage and lead times. TacForge then manages on-site rollout, training, and spares positioning to ensure rapid, low-disruption adoption.

Customer Value:

• Rapid go-live with minimal field setup
• Accurate spares demand modelling and positioning
• Reduced inventory waste and reactive procurement
• Simplified transition to condition-based logistics

Off-site oversight with always-on support.

Even after go-live, Tacmin.ai remains connected to provide live diagnostics, usage alerts, and system performance tracking. This remote visibility acts as a co-pilot to your maintenance team—offering continual performance tuning, training support, and adjustment to site needs without requiring additional on-site resourcing.

Customer Value:

• Ongoing optimisation through remote diagnostics
• Real-time dashboards and reporting for decision-makers
• Reduced pressure on internal teams
• Confidence in long-term performance sustainability