ML optimization systems for industrial operations

Optimize flow
with ML
Optimization Core 3D Pallet Solver Mixed SKU Placement Height / Weight Constraints Deck-Aware Calculations Repack Workflows ML Intelligence Embedded ML Runtime Signal Anomaly Detection Time-Series Drift Alerts Telemetry Classification Fixed-Point Q10 Core Integration Layer Excel / CSV Ingestion API + Webhooks WMS / ERP / CRM Digital Twin Visualization Metrics + Event Logs Reliability & Security Deterministic Solver Zero-Heap Runtime On-Prem / Air-Gapped Audit-Ready Pipelines ISO/IEC Baseline

Platform Expertise

Optimization core. Embedded ML. Measurable ROI.

Deterministic Optimization Engine

We solve complex physical optimization tasks for warehouse operations where heuristics are not enough and reproducibility is mandatory.

  • Physical realism: Dimensions, mass, center-of-gravity, overhang limits, and stable placement constraints.
  • Algorithmic depth: Deterministic queueing, constrained search, and replayable optimization scenarios.
  • Business pain solved: Fewer repacks, fewer loading errors, and predictable throughput under mixed SKU loads.

Embedded ML Runtime

An embedded ML stack for anomaly analytics and signal intelligence on edge devices and industrial telemetry.

  • Deterministic ML core: Fixed-point Q10 math, zero-heap runtime, and portable snapshots.
  • Operational detection: Drift, anomaly classes, instability patterns, and early warning signals.
  • Edge integration: C++ and C APIs for firmware, gateways, and industrial controllers.

Enterprise Integration and Delivery

We integrate optimization and ML outputs into operational systems so model decisions become measurable business actions.

  • System connectivity: API-first integration with WMS, ERP, BI, and service workflows.
  • Traceable operations: Metrics, logs, and audit history for every optimization and ML decision.
  • Production delivery: Phased rollout, reliability controls, and predictable release cadence.

Solution Gallery

Applied ML and optimization scenarios

Independent tracks for optimization engineering, embedded ML analytics, and enterprise-grade integration.

Standards & FAQ

Engineering Standards

Key controls and practical answers for production warehouse optimization and embedded ML deployment.

How do we start in production?Start with one warehouse lane: import real orders, run optimization, validate pallet plans, and integrate output into WMS workflows.
Does it support mixed product geometry?Yes. The solver handles small, large, long, flat, and roll-like SKU sets under deterministic placement constraints.
Can we keep current systems?Yes. The optimization and ML stack integrates by API/webhooks and can run alongside existing WMS, ERP, and BI systems.
Can ML run without cloud dependencies?Yes. The runtime works on-prem and in air-gapped environments with deterministic fixed-point computation.
What does the ML layer detect?Micro-pattern leakage, macro anomalies, and radio-signal flapping with configurable hysteresis and validation windows.
Is it firmware-friendly?Yes. Zero-heap runtime with C++ and flat C APIs is designed for MCU, gateway, and edge integration paths.

Partner Network

Trusted by logistics teams and enterprise brands

Long-term partnerships in retail, manufacturing, finance, and industrial engineering.

Contacts

Integrate ML into operations with predictable delivery

We implement optimization and embedded ML workflows in real production environments with measurable ROI. Timezone: UTC +6.

Our timezone is UTC +6.0 (Bishkek, Astana, Dhaka, Omsk, Solomon Islands).

Contact us any time.