Turning Industrial Reinforcement Learning Into a Product Operators Can Actually Use
Country
USA
Industry
Industrial AI · Reinforcement Learning
Product
Industrial Reinforcement Learning Platform
Engagement
Powerful AI. Difficult Product Experience.
RLTune brings reinforcement learning into industrial environments, working alongside systems like SCADA, PLCs and sensor networks.
But managing connections, operational data, safety limits, agents, alerts and monitoring created a highly complex experience. Users needed the depth of the technology without getting lost in the product.
Before the Transformation
Why the Experience Had to Be Different
In Industrial AI, Clarity Builds Confidence.
Industrial teams aren't just navigating software—they're configuring systems that influence real operational decisions. That made clarity, safety and visibility essential to the experience.
We restructured RLTune around a guided operating flow, giving users the right context and guardrails at each stage instead of exposing the full technical complexity at once.
From Plant Connections to
Safe Operation
RLTune had to work with existing OPC, PLC and SCADA infrastructure while giving users clear control over how the system could operate.
We simplified connection and TagDB workflows, then made safety limits, warning zones and engineering constraints more visible—helping teams configure plant data and define clear guardrails around agent behaviour.
Configuring and Monitoring AI
With More Clarity
Agent creation involved goals, inputs, actions, minimum and maximum values, stabilization logic and optimization objectives. Operators also needed clear visibility into plant behaviour, agent performance and platform health.
We turned these technical decisions into more structured, step-by-step workflows, then designed monitoring, diagnosis, charts and alerts to make critical information easier to understand.
A Design System Built for Industrial Complexity
RLTune needed to support complex workflows across configuration, monitoring, safety, alerts and data-heavy interfaces.
We created a shared design system across typography, components and interaction patterns—giving teams a consistent foundation for building new workflows without reinventing the experience each time.
From Complex AI Workflows to a More Confident Operating Experience.
The redesign made RLTune easier to understand, configure and monitor while keeping the technical depth engineers and operators need.
It gave users clearer control over plant connections, agent setup, safety limits and system health—turning a highly technical platform into a more structured and enterprise-ready product.
Plant connection & data setup
Clearer
Agent configuration workflows
Guided
Safety constraints & critical alerts
Visible
Monitoring & system health
Unified
From Powerful AI to a Product Teams Can Operate With Confidence
RLCore already had sophisticated reinforcement-learning technology. We transformed that capability into a clearer, more guided product that industrial teams could understand, configure, monitor and trust in real-world operations.
More Work
