You need more than a model for AI to work for industrial machines. The InSkill platform uses multi-agent intelligence and contextual awareness, enabling copilots to reason, act, and respond with precision.
These knowledge sources are unified to power one intelligent copilot.
Copilots integrate detailed component-level insights for complex components.
Deep knowledge from manufacturers including manuals, service bulletins, FAQs, and engineering guides.
Site-specific expertise from real-world installations, configurations, and operating environments.
Before responding, copilots build a contextual frame around each question.
Understand asset data, site conditions, and conversation history.
“What’s the alarm A402 on Pump 6?” becomes an answer specific to that pump’s history and state—not just a manual lookup.
InSkill AI engine combines LLM with intelligent agents.
Agents are called on-demand, based on the nature of the request.
Acts as a grounding layer to keep the reasoning aligned with reality and verified data.
Custom extensions to connect to external systems, processes, or workflows.
Copilots are constantly learning.
Expertise flows down. Analytics and feedback flow up.
InSkill copilots capture what’s working, what’s missing, and what users are asking for.
This data is used to improve answers, add missing knowledge, and prioritize content development.
The InSkill platform includes built in support for leading business solutions allowing you to seamlessly integrate copilots into your organization’s existing workflows.
Bringing InSkill copilot access to support engineers and help desk workers.
InSkill AI is empowered thanks to deep integrations with Microsoft technologies.
Bridge the gap between AI, field service, and help desk.
InSkill copilots are able to be extended to contain information about subsystems, intelligent components, or complex parts. This empowers technicians and operators in new ways with insights into the many complex components that make up industrial equipment.