About RedSynth
Industrial companies are long on data. They are short on decisions.
We work with process manufacturers facing decisions where operations, economics, constraints, and risk all collide: what to make, where to make it, which customers to serve, how to allocate constrained capacity, when to invest capital, and how to respond when reality moves faster than the plan.
Most companies do not lack data. They lack decision systems that turn data, models, and judgment into economically sound action. RedSynth exists to close that gap.
We combine industrial economics, operations research, optimization, simulation, AI, and practical implementation to help leaders understand the choices in front of them, the tradeoffs behind them, and the financial consequences of acting.
What we Believe
Dashboards don't Decide
Industrial companies do not lack data. They have systems of record, dashboards, reports, forecasts, and planning tools. The harder problem is turning all of that visibility into better economic action.
Decisions Need Systems
High-value industrial decisions require more than insight. They require alternatives, constraints, economics, uncertainty, tradeoffs, and clear ownership. That is what a decision system is built to provide.
Economics Should Guide Actions
A better plan is not just feasible. It is economically superior. RedSynth helps leaders understand what each choice means for margin, risk, service, capital, and resilience before they act.
What Makes RedSynth Different
We start with the decision
Before modeling or pulling data, we define the decision that needs to be made, who owns it, when it must be made, what choices are available, and what is at stake.
We model the economics
It is imperative to connect operations choices to revenue, cost, cash, risk, and margin so leaders can see the financial consequences of each action. Broad KPIs can be useful, but they often conflict and make it difficult to determine what the value of different tradeoffs are.
We model your operations
Too many vendors try to force your assets into their box - whether it maps well to their box or not. We understand that process manufacturing is a different beast and needs to be treated accordingly. Thus we build around your system. Your yields, products, reactors, batches, logistics, and customers to capture the nuances of your assets so decisions flow seamlessly from our work.
We don't hide uncertainty
Forecasts have errors. Operations have unplanned outages. Batches miss their target specs. Prices drop. Customers cancel. Planning without accounting for these disruptions yields fragile plans that miss their targets. We make these scenarios explicit so that risk is explicit and tradeoffs are clearly expressed in dollars.
Who We Are
We are industrial decision scientists.
Our team brings together backgrounds in chemical engineering, software engineering, operations, optimization, simulation, AI, and industrial economics. We focus on one problem: helping industrial companies make better decisions in complex operating systems.
Those decisions are rarely simple. They sit across plants, products, customers, logistics, capital constraints, market uncertainty, and financial tradeoffs. RedSynth helps leaders see those tradeoffs clearly, model the real constraints behind them, and act with greater confidence.
We are not a staffing firm, a dashboard shop, or a generic software implementation partner. We build the analysis, models, workflows, and decision tools required to improve the specific decision in front of the business.