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Ask the question. Simulate the answer.

Describe the decision you're facing. Spenta frames it, builds the model, and runs it with you — right here.

Supply Chain
Network overview · 1 of 4Imagery: USGS The National Map. Road geometry © OpenStreetMap contributors. Globe: NASA Blue Marble.
Your question

A storm could close the road to one of our depots tomorrow. Do we reroute, or move stock there tonight?

Spenta

Both, side by side. Build the closure on your network, run the reroute and the extra stock against the same orders, then see which customers run short under each, for how long, and what each option costs.

Pedestrian
Station overview · 1 of 4
Your question

How could we reduce peak queues without simply adding more staff?

Spenta

We model the whole place first: who comes through the doors and when, then the ticket hall and café counters they use. Then we compare a layout change, a different staff mix and self-service on the same arrivals, and show where the wait moves.

Manufacturing
Recorded · a box onto the mobile robot · 1 of 3
Your question

We're adding a third robot palletizer. Will it lift output, or will the dock cap us anyway?

Spenta

We build the line from the packers to the dock: the conveyors, the palletizers, the people at rework and the vehicles to the trucks. Then we run today's line, a third palletizer and a bigger buffer against the same orders, and show where each one stops.

Illustrative conversation. The footage is recorded from the model we're building.

Warehousing
Recorded · the line to the storage aisles · 1 of 4
Your question

Peak is eight weeks out. Do we add mobile robots, or will packing and the sorter cap us anyway?

Spenta

We build the floor from the inbound door to the outbound truck: the racks and tote store, the robots and their chargers, the conveyors and sorter, and the people at every station. Then we run today's fleet, more robots and another packing station against the same peak orders, and show where each one stops.

Illustrative conversation. The footage is recorded from the model we're building.

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Every assumption Spenta makes is visible — you can see it, question it, and change it before you trust the answer. A person reviews every model before it's used to decide anything. Your data stays yours.

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Open the hood. Every step, visible.

Know what happens before you commit.Test operational choices before you commit capital and resources.You bring the question. Spenta does the modeling.Talk in plain language. Spenta asks for what it needs and builds the model around your decision.One environment for your people and your agents.Spenta comes to the tools, files and assistants you already use, so your models live where the work happens.See why, not just what.Every assumption is listed, and you can open any person in the model to see why they chose.Built around what you do.Building the model, watching it run, checking it, asking it questions, keeping what it makes and telling others.Every run is checked.Spenta checks each run against the model's rules and shows what held and what did not.Compare your options on the same day.Both options run against the same day, side by side, so you see what the choice changes.Get an answer with its range.Ask about the place you run. The answer comes with its range, not a single guess.Trust is built where the model meets reality.Overlay the record and the replay, find the gaps, and know what needs explaining.Make a decision you can defend.A structured report lays out the assumptions, scenarios and findings for your leadership.A model of your operation, and a simple way to work with it.See it step by step Built for AI from the ground up.An agent, a method and our own engine, not retrofitted from tools designed for human modelers.AI in every simulated person.Each person picks from the actions their situation offers, by rules or AI-assisted probabilities.Everything in the system can see everything else.Robots in full physics, people as agent models, conveyors as discrete-event flows: one graph.Simulation anticipates the next step.Given the state at time t, the engine computes the state at t + Δt. Repeat it, and you anticipate what the system will do.Time advances by event.Our own GPU-accelerated engine. Only events write, and every event is recorded.One formalism for the whole system.Entities, relationships, behavior and state in one graph-based method that validates itself at the language level.What moves, what decides, and what limits it.In every domain, the engine answers the same three things.From one system to a system of systems.Parts and relationships, nonlinear interactions, adaptive behavior, and independent systems coupled into a whole.Three time horizons. One digital twin.Rewind and branch the past, update the present from configured feeds, and play the future forward from different starts.No black box.Actions follow the constraints in the model, and each one must be feasible under its stated rules.One agent. One methodology. One runtime.Explore the methodology

Domains

One simulation engine. One agent. Many domains.

Networks across marketsThe whole network with orders movingGrowth and plant capacityThe network with orders movingSites after growth and acquisitionsOne site out, two others take its loadStock and replenishmentFrom the network into one distribution centerDisruption and recoveryA road closes and the order waits

Recorded replay · Imagery: USGS The National Map. Road geometry © OpenStreetMap contributors. Globe: NASA Blue Marble.

Questions a Supply Chain study answers

  • Where should we hold stock to protect deliveries without tying up more cash?
  • If a road or a depot closes, do we reroute or move stock first?
  • Would a new distribution center pay for itself, or just split our stock?
See the full Supply Chain story
Stadiums and arenasCrowd through the doorsTransport hubsThe platform filling, then boardingMuseums, exhibitions and pop-upsA wave of riders off a train crossing the square past the doorsRestaurants and retailThe café line and pickup, colour shows what each customer is doingVisitor attractions and hospitalityThe café terrace, colour shows what each guest is doing

Recorded · short cut

Questions a Pedestrian study answers

  • Will the concourse clear in time after the final whistle?
  • How many screening lanes does the morning peak need?
  • Would a second till or a kiosk cut the lunch queue more?
  • Where will people wait if an attraction stops?
See the full Pedestrian story
Robot cells and cobotsThe arm sorts each box to the robot or the beltMobile robots and AGVsThe loaded robot drives its box to the dockConveyors and end of lineCartons off the end of the line, stacked onto a pallet; the hall is a backdropPeople, skills and shiftsPeople at rework and mixed orders beside the robotsMix, sequence and changeoversA sorter sending each product to its lane

Illustration · short clip

Questions a Manufacturing study answers

  • Will another robot raise output, or just move the bottleneck?
  • How many mobile robots keep every station supplied without queuing?
  • Can we bring this product back in-house with the people we have?
  • When a palletizer, a tester or a person is out, where does output stop?
See the full Manufacturing story
Conveyors and sortationTotes from two infeeds merging and passing the scan arch; the hall is a backdropRacks and automated storageThe crane stores one tote and fetches anotherMobile robots and goods-to-personRobot carts bring totes to the pickers; the hall is a backdropPeople, skills and shiftsA worker takes cases off the rack and builds a pallet; the hall is a backdropDocks, waves and cutoffCartons sorted to four dock lanes; the hall is a backdrop

Illustration · short clip

Questions a Warehousing study answers

  • Will more robots ship more orders, or just queue at the pick stations?
  • Can we get more out of the racks before we lease another building?
  • Is the sorter, packing or the dock the real limit at peak?
  • Do charging stops take robots off the floor at the peak?
See the full Warehousing story