A physics + math + AI fusion academic-grade engine.
A technology moat that's hard to replicate.
Traditional supply chain models use manually written one-way equations. Real supply chains are complex systems with bidirectional interactions — inventory feedback, capacity backpropagation. WARP adopts bidirectional modeling: just define component connections and hundreds of coupled equations are automatically derived.
Applying physics' Least Action Principle to business: Lagrangian ≈ Revenue − Cost = Profit. Within constraints (capacity, lead time, safety stock), the engine automatically finds the operational path that maximizes profit.
Like conservation of mass in physics, quantity conservation: Production = Shipments + ΔInventory is mathematically guaranteed (error 4.5×10⁻¹³). In bidirectional modeling, violations are structurally impossible.
① Baseline PSI — simulate current conditions. ② Optimization PSI — Lagrangian-based auto-optimization. ③ Scenario PSI — What-if analysis. All three run on the same engine; parameter changes reflect in ~3ms.
Industrial-grade simulation engine and optimization infrastructure
In-house component-based modeling library — composable modules for inventory, production, flow, resources, and more, enabling arbitrary supply-chain network configurations. Automatic derivation of coupled equations.
Native EngineIndustry-specific simulation builder — supports discrete (assembly), continuous (chemical), batch (pharma), and project-based (construction/shipbuilding) manufacturing. Industry-specific operational patterns applied automatically on a unified engine.
Multi-IndustryLarge-scale dynamic systems with hundreds of state variables accelerated 10x+ via sparse matrix computation and symbolic caching. Real-time analysis and scenario discussion.
High PerformanceMRP II material/capacity/financial planning + dynamic simulation unified bidirectionally. Multi-layer capacity scaling (equipment × policy × material constraints) + Work Calendar + 2-shift system.
MRP II · CRPMulti-dimensional inventory control based on time constants, perception delay, and response intensity. Proactive demand-forecast-driven response with smooth policy transitions for oscillation-free stable operations.
Inventory OptimizationProcess-level unit cost (variable) → line → model → factory → enterprise aggregation. Internal consumption and SGA reflected for true bottom-up costing.
Cost EngineMonthly S&OP cycle fully integrated as BPM. Demand consensus → supply review → P&L comparison → executive decision. Automated email notifications + Gate Review + Audit Trail.
S&OP · BPM2-shift system, skill-based labor assignment, BOM material requirements. Large-scale backward planning + line-model allocation Gantt visualization.
SchedulingProbabilistic optimization that guarantees stable returns under demand uncertainty. Multi-objective exploration auto-analyzes cost·service trade-offs.
Stochastic OptThree engines auto-selected or manually chosen based on problem characteristics
Multiple operational parameters (inventory, capacity, allocation, etc.) auto-tuned by swarm intelligence. Early-convergence detection for practical-time optima.
Baseline+Local precision search using global-search results as starting point. Confidence-interval guided exploration focuses on promising regions.
High PrecisionStatistical surrogate models approximate the simulation. Optima found in tens of seconds. Autonomous learning ensures both speed and precision.
Tens of seconds16 models compete to auto-select the best forecast
Seamless data exchange with existing systems
Customer data → WARP simulation environment, auto-built in hours
Online survey to assess ERP system, database, product structure, and key challenges
Connect to customer DB and automatically scan table structures, mapping to WARP entities
Detect industry type and infer simulation parameters from mapped data
One-click simulation environment build — data ETL + engine config + validation
Upload 3-4 Excel/CSV files and get a simulation environment instantly
Visually review auto-mappings and fix with dropdown selectors
Traditional: 3-6 months → WARP: hours. Same-day simulation results
Real factory data benchmarks
WARP's 3-Tier architecture is designed so each layer can be independently replaced. Whatever the customer's existing infrastructure — DBMS, middleware, message bus — WARP adapts flexibly, allowing adoption without replacing existing systems.
Handles auth, routing, and rate limiting. Can sit on top of existing API gateways (Kong, AWS API Gateway) or reverse proxies (Nginx, HAProxy).
Async communication between engine and API gateway. Integrates with your existing message infrastructure (RabbitMQ, Kafka, AWS SQS, etc.).
Simulation and optimization compute engine. Connects directly to PostgreSQL, Oracle, SQL Server, MySQL. Supports on-premise and cloud.
JWT token authentication, role-based access control (RBAC), audit logs. Handled centrally at the API gateway.
Cloudflare tunnel + Access dual protection, bot defense, WAF, automatic DDoS mitigation.
Complete DB isolation per customer, encrypted storage, scheduled auto-backups, migration management.