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Who We Are

RL Core is a deep tech company bringing real-time autonomous optimization (RTAO) to industrial control. RL Core is reimagining intelligent control with reinforcement learning.

We provide a lightweight, easy-to-integrate, on‑prem Reinforcement Learning (RL) agent that is easy to deploy, learns continuously, writes safe, guard-railed setpoints, updates recommendations based on outcome, and delivers ROI within weeks without building any complex AI models or expensive consultants.

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Our Vision

Our vision is to empower every plant to be more productive and run adaptive, self-optimizing processes—continuously, affordably, and without specialist intervention. We are reimagining intelligent control for industrial systems by allowing them to shift from “good enough” control to continuously self-optimizing operations.

Value We Deliver

We are the intelligence layer that democratizes optimization for industrial control.

Rapid ROI, Low Lift

RL core empowers engineers to deploy AI at a rapid speed on existing assets and see value within days/weeks, instead of quarters. RL core gives you speedy and more impactful optimization at a fraction of typical RTO costs without the need for heavy models, new hardware, or expensive consultants.

RL Core helps optimize existing assets. Replicates the solution loop across processes and sites with collaborative agents without the help of complex models or new hardware. Above all, RL Tune runs autonomously, requiring very minimal maintenance, while providing maximum outcome. RL Core aims to build autonomy incrementally in industrial control, one process at a time.

RL Tune learns on-prem with proper cybersecurity that allows the data to remain in the plant. It continuously adapts to changes in plant dynamics and conditions following the user-defined guardrails with an operator-first approach. It easily switches between modes and provides smart alerts for an efficient optimization process. It accesses the robust data pipeline to handle sensor dropout and noise while being auditable and transparent to the user.

RL Tune: Intelligence Layer for Industrial Control

The Problem

The Problem

Traditional control methods rely on static setpoints or operator intuition, leading to inefficiencies, overuse of resources, and elevated costs. These systems are also outdated and cause fluctuating influent conditions and limited operator capacity.

On the other hand, it is extremely complex and expensive to devise and maintain advanced process controls and digital twin solutions to optimize industrial controls for higher efficiency.
Our Solutions

Our Solutions

RL Core bridges this gap by applying reinforcement learning to continuously optimize plant operations in real time—improving performance, lowering costs, and reducing operational burden.
Our Approach

Our Approach

RL Tune democratizes optimization and makes Real-Time Autonomous Optimization (RTAO) the new default. It learns your process, easily integrates with SCADA/DCS/PLCs, and continuously writes safe, goal-aligned setpoint updates to cut OPEX and keep quality in-spec.
Our Impact

Our Impact

Reinforcement learning can optimize the industrial control process without a model. It is compatible with existing tech, easy to deploy, learns from scratch, and leverages past data to write solutions that provide measurable outcomes within weeks instead of quarters.

RL Tune does not need complex models or expensive consultants to carry out the deployment process, making it a cost-effective solution for the plant and operations leaders who need reliable savings and stability.

It provides autonomy to the operators and process engineers by looping them into the learning process of the agent.

Meet Our Leaders and Deep Tech Experts

RL Core technology brings Real-Time Autonomous Optimization (RTAO) to industrial control that makes your plant continuously learn and run better, with a team deeply specializing in reinforcement learning for industrial control.

Martha Whiteview Eye

Martha White

CEO & Co-Founder

Adam Whiteview Eye

Adam White

CTO & Co-Founder

Ganesh Raoview Eye

Ganesh Rao

President & CPO

Nils Smitview Eye

Nils Smit

Controls Engineer

Andy Pattersonview Eye

Andy Patterson

ML Lead

Basak Mutlumview Eye

Basak Mutlum

VP of Product

Bhavnesh Patelview Eye

Bhavnesh Patel

VP of GTM, Sales