Solutions
Manufacturing problems.AI-native solutions.
Every solution is backed by real ML models trained on real industrial data. Production-grade intelligence running in autonomous loops, with published accuracy numbers you can verify.
Know what will break. Fix it before it does.
Unplanned downtime costs $42K–$120K per hour. We prevent it. Most customers avoid 2–3 catastrophic failures per site, per year.
Remaining useful life estimation across rotating equipment, pumps, bearings, and drives
Multi-algorithm anomaly detection that adapts to each equipment's unique signature
Automatic root cause analysis triggered when anomaly scores exceed thresholds
Automated work order generation with priority scoring based on real-time health index
Explainable predictions showing which sensor readings are driving each alert
Illustrative data points
More output. Same equipment. Less waste.
You already own $20M+ in equipment. We'll show you how to get 12–18% more throughput without buying anything new.
Continuous OEE monitoring decomposing availability, performance, and quality losses
Throughput optimization identifying the process parameters that move the needle
Bottleneck detection pinpointing constrained stations across multi-stage production lines
Intelligent job-shop scheduling balancing makespan, priority, and resource constraints
Digital twin simulation for what-if scenarios before making physical changes
Illustrative data points
The right person, the right task, the right time.
Frontline workers are the last mile of manufacturing intelligence. Digitillis closes the loop between AI insights and human action, generating work orders, briefing shift teams, and delivering precise instructions to the technician standing in front of the machine.
AI-driven maintenance scheduling with priority-based work order generation and technician assignment
Automated shift handoff summaries briefing crews on equipment status, active alerts, and pending actions
AI-generated work instructions tailored to equipment type, failure mode, and technician skill level
Technician skill matching that routes the right person to the right task based on certification and availability
Mobile-ready interfaces for frontline workers delivering context at the point of action
Illustrative data points
See disruptions coming. Respond before they arrive.
Supply chain disruptions increased 38% in the last three years. Digitillis provides end-to-end visibility from delivery risk scoring to spare parts demand forecasting, helping you maintain continuity when your supply chain gets tested.
Delivery risk scoring that flags at-risk shipments before they become late
Spare parts demand forecasting with seasonal decomposition and trend detection
Order promising that gives customers reliable delivery dates based on real capacity
Inventory optimization balancing service levels against carrying costs
Autonomous monitoring that continuously reassesses risk as conditions change
Illustrative data points
Reduce your footprint. Prove it with data.
Manufacturing accounts for 21% of global carbon emissions. Digitillis tracks energy consumption, carbon intensity, and ESG metrics across your operations in real time, identifying optimization opportunities and generating the audit trail your sustainability reporting demands.
Granular energy consumption modeling at the machine, line, and plant level
Carbon footprint tracking with scope 1, 2, and 3 emission breakdowns
Sustainability initiative tracking with measurable progress indicators against targets
ESG compliance dashboards purpose-built for regulatory and investor reporting
Energy optimization recommendations with projected savings and ROI timelines
Illustrative data points
Prove what AI is worth. In dollars, not dashboards.
Most AI platforms show predictions. Digitillis tracks outcomes. Every intervention, every prevented failure, every optimization is measured against what would have happened without the platform. You get counterfactual ROI, cost avoidance tracking, and value narratives your CFO can take to the board.
Counterfactual analysis comparing actual outcomes to what would have happened without intervention
Every alert we raise has a price tag. If we say 'fix this,' we track what you actually saved. 87% of recommendations this quarter prevented real downtime.
Cost avoidance quantification across prevented failures, reduced scrap, and energy savings
Executive value narratives translating operational metrics into financial language
Portfolio-level ROI dashboards showing cumulative platform value over time
Illustrative data points
Which problem costs you the most?
Let us show you the solution. With your data, on your equipment, for your KPIs.
Talk to Our Team