VYAN is the system for the resilient enterprise.
Decision intelligence for enterprises that refuse to be brittle.
Forecasts have gotten better. The Tuesday war room hasn't gone away.
Forecasts are sharper. Control towers light up in real time. Network inventory visibility has never been clearer. None of it has stopped the firefighting.
Every signal — a better forecast, a clearer dashboard, a sharper view of what is where — still feeds into a planning paradigm built for a more predictable world. Sequential stages. Single-future solves. Static master-data parameters. Single- objective optimization. Plans, not policies.
This is not a signal problem. It is a decision problem.
One math object. One policy. Decisions emitted continuously.
VYAN is a decision intelligence system, not a planning tool. A planning tool produces a plan. A decision system produces decisions — with their reasoning attached, their resilience scored, their alternatives visible, and their lineage preserved.
At the core is the : a continuously- calibrated digital model of how your enterprise decides. The Twin solves once, across all horizons and functions, against your enterprise's actual variability. It emits decisions, not plans. It governs those decisions through a that you author and that VYAN learns to improve.
46 dimensions, including typed source dimensions for procurement, production, transport, and inventory. Versioned and publishable.
Concurrent multi-horizon, multi-objective optimization. One pass against all objectives with stated trade-offs. No sequential handoffs.
A first-class object — the rules your enterprise uses to decide, made explicit, governed, versioned, and continuously improved.
Events sensed, classified, scored for impact, and responded to within the bounds of the policy. Surgical replan sizes the minimum impact radius.
Plan-vs-actual variance feeds back into the policy. Master-data drift heals through driver calibration. Policies that no longer hold get retired.
Ask the Decision Twin what it is doing, what changed, and why. Citations to the underlying decisions, the policy version, the math.
Three properties that operate as one math object.
A
Autonomous
Decisions at the edge, governed by policy.
Senior planners stop firefighting. Routine pricing adjustments, inventory rebalancing, and risk flagging happen at the function that owns them, within policy bounds.
Read A · Autonomous →I
Integrated
Signals cross every silo.
Procurement, production, transport, inventory, demand, and commercial constraints solve together. Cross-functional context is a property of the data layer, not the meeting cadence.
Read I · Integrated →R
Resilient
Plans hold under shock.
Variability is calibrated from actual history, not assumed away. Every decision scored before commit. Tail cost priced into the objective, not noticed in the post-mortem.
Read R · Resilient →See the world. Decide once. Respond continuously. Learn forever.
Distributions, not values. Order lines, not buckets. Signals, not surveys. Ecosystem as first-class.
Read the layer →One math object. Policy as a first-class artifact. Decisions at the line.
Read the layer →Decisions emit continuously. The system learns. SAGE in the loop.
Read the layer →Decisions architected across 14+ enterprises in pharma, semiconductor, industrial manufacturing, apparel, and energy.
Engagements led by the VYAN founder over the past 15 years. Now refined as the VYAN system.
Demand-supply resilience
Lead-time variability priced into safety stock, not into the planning solve. Expedite freight running 18% over budget. Senior planners attriting at 22% annually.
Architected a probabilistic supply substrate that priced lead-time variability into the planning solve and surfaced supplier risk as a learned distribution per lane.
Reduced expediting spend; freed working capital.
Multi-site production optimization
Sequential plant-by-plant scheduling that lost the network optimum at every handoff. Sub-optimal sequencing absorbed in changeover costs and rework.
Replaced sequential plant-by-plant scheduling with concurrent multi-horizon optimization across the network. Sequence-stability as a measured cost the policy weighed.
Network-level throughput up; changeover scrap down; planner confidence restored.
Inventory and allocation intelligence
Safety stock sized by formula; seasonal and promotional cycles never priced in. Stockouts on Tier-A customers; markdowns on tail SKUs at quarter-end.
Built driver-based safety stock policies that adapted to seasonal-promotional cycles. Multi-echelon optimization sized buffers to actual variability per node.
Working capital reduced; Tier-A service up; markdown exposure down.
See your enterprise's decision intelligence baseline.
PULSE is a 2–3 hour guided diagnostic. We score your enterprise on Autonomous, Integrated, and Resilient decision capability — against the deterministic paradigm your peers still run. You walk away with your AIR baseline, your capability roadmap, and a value estimate grounded in your public financials. Remote or on-site. No fee. No deck.
A healthy enterprise breathes through every layer.