Knowledge walks out the door
Critical know-how lives with a handful of people and disappears when teams change.
TRADITIONAL ENTERPRISE × APPLIED AI
From management decisions to frontline workflows, enterprise knowledge to industrial sites, QuantAgent delivers private, measurable, and maintainable AI implementation.
What we solve
We help traditional enterprises without large in-house IT teams start from high-impact workflows, validate value through focused pilots, and expand with confidence.
Critical know-how lives with a handful of people and disappears when teams change.
Quotations, service, coordination, and decisions are slowed by fragmented information.
Factories with limited digital infrastructure struggle to locate waste and sustain improvements.
Three Core Practices
Build a unified knowledge foundation, starting with leadership and expanding into agents for management, R&D, sales, production, and service.
Connect shop-floor signals through non-invasive LoRa collection, then apply AI analysis and intelligent scheduling to build a continuous optimization loop.
From discovery and deployment to agent training and ongoing support, with integration across ERP, CRM, OA, PLC, and existing business systems.
Scenario Agents
Proven patterns are adapted to real workflows, avoiding both blank-slate projects and AI for AI’s sake.
Unifies operating information, policies, and knowledge for search, analysis, and decision preparation.
Captures fault and maintenance experience to help frontline teams diagnose issues faster.
Connects standards, past designs, and material knowledge to provide traceable recommendations.
Uses past orders, process rules, and cost logic to accelerate quotation preparation.
Connects purchasing, inventory, lead times, and supplier information across teams.
Industrial Edge
For factories with limited digital infrastructure, wireless sensing lowers the pilot barrier. Begin with one workshop, equipment group, or high-value problem without disrupting core production.
The QuantAgent Method
Understand management, service, knowledge, data, and industrial pain points.
Select a bounded scenario and define data, workflow, and acceptance criteria.
Complete knowledge work, platform deployment, agent setup, and essential integration.
Validate outcomes in real operations and define the next investment stage.
Continuously update knowledge, workflows, and models as the business changes.
Why QuantAgent
Demonstrate value to decision-makers first and reduce cross-functional resistance.
Prefer wireless, non-invasive, and narrowly scoped deployment to control risk.
Reuse proven capabilities in service diagnosis, process quotation, and energy analysis.
Support private deployment, enterprise-side data retention, and configurable masking for cloud models.
Engagements are evaluated by scope, data readiness, and integration complexity—not a generic public price.
FREE ON-SITE DIAGNOSIS
We begin with a free discussion or on-site review covering management efficiency, service cost, knowledge retention, and industrial operations, followed by an initial implementation path and value framework.
The local version prepares a complete email. A self-hosted submission endpoint will be connected during deployment.