Decision Intelligence
Atlas is decision intelligence for operators and engineers—wherever equipment runs on a schedule, storage shifts loads, and constraints compete. Water networks. Power systems. Manufacturing plants. HVAC. In under an hour, Atlas tells you the cheapest, safest way to run your infrastructure.
Illustrative — real solver output from the shipped demo, run in simulate mode with no live plant connected. Savings at your site depend on tariff, storage and process flexibility.
Atlas Core delivers live recommendations to your operators. Atlas Platform lets engineers test scenarios and explore trade-offs before you build. Same transparent, explainable optimization engine underneath.
Atlas Core installs beside your SCADA, reads the data you already collect, and recommends the cheapest, safest way to run your plant every few minutes. Your operators see the trade-offs. You stay in control.
For any facility—water, energy, manufacturing, HVAC—that needs to optimize real-time scheduling decisions.See it solve in real timeImport your hydraulic, electrical, or process model. Design configurations, set constraints, run scenarios, and compare outcomes—before you invest.
For engineers, consultancies, and planners who need to evaluate infrastructure changes without the guesswork.Explore the studioThe three questions every engineer asks first — answered before you have to ask them.
There is no control path from Atlas to your PLC. Recommendations reach operators through your HMI, subject to your existing interlocks. The worst failure mode is no recommendation — which leaves the plant exactly as it runs today.
Atlas Core runs on-site in a single container. No cloud calls, no telemetry, no licence check-in. It reads your historian and answers your HMI. Nothing else.
OPC-UA out of the box — Ignition, Kepware, or any compliant server. Modbus, SQL historians, MQTT and CSV are configuration, not custom development.
Any process where equipment runs on a schedule, storage shifts loads, and constraints compete for priority. The same optimization engine powers all of them.
Multi-pump scheduling against tank storage, minimum flows, and tariff.
Pressure zones, demand forecasts, and storage optimization across networks.
Solar, battery, generator scheduling against real-time tariffs and forecasts.
Unit commitment and economic dispatch for thermal and renewable generation.
Equipment scheduling to minimize energy and labor while meeting demand.
Multi-refrigerant scheduling against load, defrost cycles, and power contracts.
Pre-cooling strategy against comfort band, tariff, and weather forecast.
Thermal storage and boiler scheduling across multiple connected buildings.
Multi-compressor scheduling against receiver pressure and demand spikes.
Multi-boiler scheduling with accumulator storage and demand forecasting.
Charge/discharge timing against time-of-use tariff and demand charge.
Charger scheduling to hit departure deadlines without spiking demand.
Wastewater treatment, compressed air networks, cold storage, data centre cooling, and EV charging infrastructure all follow the same pattern. If your facility has schedulable equipment and a price signal that moves with time, Atlas likely fits.
The same optimization engine that schedules a pump station also schedules a power system, a factory, or a building—because the underlying problem is the same: minimize cost while respecting constraints.
Multi-pump scheduling, pressure management, demand coordination, and storage optimization.
EPANET + SWMM hydraulic modelling↗Generator and battery dispatch against forecasts, tariffs, and grid constraints.
Multi-unit RTC, pumped storage, NEM arbitrage↗Pre-cooling and thermal storage scheduling to optimize comfort and energy cost.
Chiller dispatch, TES round-trip dynamics↗Production scheduling around energy tariffs, equipment constraints, and deadlines.
Job-shop MILP, TOU energy shifting↗Aeration and treatment scheduling to shift energy loads and maximize biogas revenue.
Time-of-use blower scheduling, biogas value↗Gate and reservoir decisions based on rainfall forecasts and downstream safety.
Raven HBV + HEC-RAS 2D routing↗Tailings freeboard control and dewatering optimization to meet compliance limits.
ANCOLD compliance, CasADi OCP↗Cross-basin allocation and shared storage optimization across interconnected systems.
LP yield optimization, cascade scheduling↗Pump and gate automation while holding water levels within tight operational bands.
GoalProgramming OCP + Modelica components↗Multi-compressor scheduling against receiver pressure and demand spikes.
Receiver dynamics, demand forecasting↗Route planning that respects real road networks and time-of-use energy windows.
Vehicle-routing MILP + OSRM road network↗Heating strategy that leverages thermal mass instead of chasing setpoints.
Thermal-mass LP, weather forecasting↗Compressor scheduling and linepack management for off-peak compression.
Compressor scheduling, linepack storage↗Charger scheduling to hit departure deadlines without spiking demand charges.
Fleet ETA, demand charge avoidance↗Robust allocation strategies for dry years and supply uncertainty.
Scenario-based scheduling, risk hedging↗Atlas ships as a self-contained browser interface with secure authentication for registered clients. We'll walk you through a live call tailored to your infrastructure — no account needed to start that conversation.
Client sign-in is by registration — see Atlas Core above for a demo you can try right now, no account required.
A transparent optimisation workflow that strengthens operator judgment instead of hiding it behind a black box.
Connect your live data, constraints, and objectives—from any source. SCADA, REST API, historian, or manual input.
Atlas solves your scheduling problem in under a second. No black box. You see the trade-offs and why each decision was made.
Your operators get a recommendation, the evidence, and the trade-off. They stay in control. Atlas is advisory, never automatic.
Forbay built Atlas to close the gap between optimization research and the daily realities of operating water, energy, manufacturing, and building infrastructure. Every recommendation respects real equipment constraints, service obligations, and your team's judgment.
F. Awol, P.Eng., Ph.D.
Founder & Principal Engineer
Hydraulic modelling, mathematical optimisation, and real-time control systems across water, energy, and industrial infrastructure. The same optimisation core that schedules a pump station also schedules a job shop or a gas compressor.
We'll map an Atlas walkthrough to your infrastructure, models, and operating challenge — no generic demo, no sales deck.
info@forbaysolutions.comWe'll map an Atlas walkthrough to your specific models, data, and operating challenges — no generic demo.
Request a tailored demo