PITCH DECK
YesAndNo turns unlimited operational constraints into a single measured decision — cheaply, repeatedly, and provably better than the classical baseline it replaces.
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Dispatch, field service and warehouse flow are constraint problems, not data problems. Past a few thousand combinations, classical solvers stop searching and start guessing — operators absorb the cost as overtime, idle bays and missed windows.
Capacity, skills, time windows, cost, priority and ROI targets are described once in a single schema. The constraint engine prunes the impossible, then a short quantum pass collapses the remaining frontier into one measured answer.
We never send the whole problem to the simulator. Only the irreducible core is activated, which keeps a run inexpensive enough to execute continuously in production rather than once a quarter in a lab.
Dispatch routing, technician management, warehouse replenishment, loading, unloading and unpacking. Each new space is a constraint description, not a bespoke solver — so every deployment compounds the same engine.
Every solve is benchmarked against the classical baseline it replaces. Improvement is recorded per run, so the value shows up in the customer's own numbers instead of in our slides.
CLASSICAL VS QUANTUM
THE ASK
We are raising a seed round to move from simulator-grade runs to quantum machines behind live operations, and to deliver the first paid pilots in dispatch, technician management and warehouse flow.
45%
Quantum hardware and simulator capacity
30%
Engineering — constraint layer and integrations
15%
Pilot delivery with design partners
10%
Go-to-market and operations
Yes