Fully offline
Run the analysis on a standalone machine with exported data. No internet connection needed.
How it works
Coherence plans your plant's operations and energy investments against millions of possible futures. One forecast is never enough. Your plan stays sound when prices spike, markets shift or the process surprises you.
01 / Risk-aware optimization
Most energy plans use one forecast. Reality differs, so the savings shrink or turn into losses. We plan for the full range of outcomes. We protect you from the worst ones.
Built for surprises. We give up a little of the best case. In return, you avoid the worst outcomes.
One method for operations and investments. Day-ahead schedules and ten-year equipment decisions use the same method.
You set the risk level. Choose how cautious the plan is. See what each choice costs or saves.
02 / Millions of scenarios
Prices, weather, water or product demand, tariffs and equipment availability all vary. We combine them into millions of scenarios. A digital twin of your plant runs each one. A traditional study needs more time than that to set up one spreadsheet.
Millions of possible futures for prices, weather, demand, tariffs and equipment availability.
Your equipment, process physics and operating limits, tuned to your SCADA or vendor data.
Finds the plan that works well in all futures. It gives extra weight to the bad ones.
Schedules, setpoints and investments, with a clear range of outcomes you can show to finance.
03 / Security
Coherence runs fully offline or fully on-premises on your IT/business network. Nothing goes to the cloud. No change happens without a person's approval.
Run the analysis on a standalone machine with exported data. No internet connection needed.
Install Coherence inside your IT/business network, behind your firewall. Your SCADA and process data stay on your servers.
Coherence recommends. Your operators review, approve and act.
04 / Three kinds of uncertainty
Plants face three kinds of uncertainty. Each one breaks a single-forecast plan in a different way. Each one needs its own answer.
Worked example
A seawater reverse-osmosis desalination plant with several RO trains, a product-water storage tank, and a time-of-use tariff with demand charges. Power is one of its largest operating costs. (Hypothetical plant, used for illustration.)
Some events are hard to forecast. Some cannot be forecast with the data you have.
In the example
A heat wave sends real-time power prices to ten times normal for three hours on a weekday afternoon. A week later, a high-pressure pump trips during the evening ramp. No forecast shows either event. A plan tuned to the forecast was filling the product tank that afternoon. It had every train running at the worst moment.
How Coherence plans for it
A new process line or a battery depends on assumptions about the market. It also depends on how much value repeats each year.
In the example
The plant is weighing a battery to cut demand charges. The battery's value depends on four things: the next rate case, whether demand-response programs keep paying, how much new solar flattens midday prices, and how fast water demand grows. A battery sized for last year's tariff can look good on paper and be stranded in three years.
How Coherence plans for it
A stable plant with careful chemistry can still behave differently than you expect.
In the example
Dropping from five RO trains to three at 4 pm changes feed pressure, recovery, and how antiscalant and pretreatment chemistry behave. Cycling membranes too often can speed up scaling and fouling. Pretreatment can take hours to settle. A schedule that looks fine in a spreadsheet can push a water-quality parameter toward its limit.
How Coherence plans for it
05 / Built on research
The methods behind Coherence come from years of research at Stanford (including the WE3 Lab) and U.S. DOE national laboratories. The research covers energy flexibility, water treatment and decisions under uncertainty. We started a company to put that work on the plant floor.
Stanford and U.S. DOE research on planning energy systems when prices, demand and operations are uncertain.
Flexibility models for desalination, water, wastewater and industrial processes, published in peer-reviewed journals.
Four successful pilots, including a co-pilot run on a real-time SCADA data feed.
The research, now a product for plant managers and their teams.
06 / What you get
Day-ahead schedules and setpoints for your operators to review. Each move comes with its reason.
Right-sized storage, equipment and process changes. Payback and IRR show a range across futures, not one number.
How the plan performs in bad scenarios. What it costs to be more or less cautious.
The model re-optimizes when equipment, production or rates change. The plan stays current.
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Send your billing and interval data. We will show you where the savings are and how well they hold up. No cost if we find none.