Why Digitillis
Why Digitillis.
The manufacturing AI landscape is crowded with point solutions, generic platforms, and bold claims. Here is what makes Digitillis different, and why it matters.
Business value you can measure.
Every intervention is tracked. Every prediction is tied to an outcome. Digitillis attributes value across all agents (maintenance savings, quality improvement, energy reduction, supply chain risk avoided) and surfaces it in a single Business Value dashboard with counterfactual ROI. You know exactly what the platform is worth, not as an estimate but as a fact.
Speed to value.
Start with a FirstLook: a diagnostic on your own data export that returns a benchmarked, dollar-anchored findings report in days, with no commitment required. If the findings are compelling, a 30-Day Sprint validates results against your real production data with pre-agreed KPIs. From there, expand one capability at a time. No forced bundles, no all-or-nothing commitment, no replatforming as you scale.
Built for manufacturing.
Every model is pre-trained on real industrial datasets: C-MAPSS, SECOM, Bosch production lines, NASA Hydraulic, and more. The platform speaks OPC-UA, MQTT, Modbus, and S7 natively. OT security is designed in, not bolted on. ARIA understands failure modes, equipment hierarchies, and shift handoffs, because manufacturing is a different domain, and we built for it.
Breadth and depth on a single platform.
Stop stitching together point solutions. When a maintenance model detects a bearing failure, Digitillis automatically evaluates the production schedule impact, checks spare parts availability, assesses quality risk, and recommends the optimal maintenance window. Six solution domains (Asset Performance, Production Excellence, Workforce & Operations, Supply Chain, Sustainability, Business Value) unified, with cross-domain reasoning that a collection of single-point tools can never deliver.
ARIA: intelligence you can talk to.
ARIA is the copilot over the whole platform. Ask it why a machine is at risk, what the maintenance window should be, or what happened on the previous shift. It answers with grounded evidence drawn from the plant's own data, with the calculation shown. Role-aware by default, so an operator, engineer, and plant director each get the view that is relevant to them. LLM-optional: ARIA falls back to a deterministic classifier when a cloud key is unavailable.
Open architecture. Zero lock-in.
Digitillis is built on open industrial standards throughout. OPC-UA, MQTT, REST APIs, and standard data formats. Deploy on any cloud or your own infrastructure. Integrate with your existing MES, ERP, CMMS, and BI investments. Every capability is API-accessible. Your data stays yours. No proprietary connectors, no migration required, no dependency on a single vendor ecosystem.
See the difference for yourself.
We will walk you through the platform against your use cases, your data, and your KPIs. No generic slides. Real intelligence.