Optimal is a full-spectrum Enterprise Resource Planning and Manufacturing Execution System engineered for organizations that refuse to trade data sovereignty for digitization. Deployed entirely on your own infrastructure inside your firewall or private cloud it delivers the analytics, traceability, and automation typical of large, cloud-hosted suites while keeping every byte under your direct control.

a.

Modular, pick-and-choose architecture

b.

On-premise deployment & database independence

c.

End-to-end traceability via RFID / NFC & IoT

d.

Proprietary encryption & granular roles

e.

AI-powered business intelligence

f.

Open-edge integration

g.

Comprehensive reporting & logging

Delivers secure, deterministic Layer 2 connectivity for mission-critical deployments from tactical field units to industrial control rooms without compromising on manageability or size, weight, and power (SWaP) constraints.

a.

Hardened, dual-range power subsystem

b.

High-density copper + fiber fabric

c.

Military-grade I/O placement

d.

Intelligent Layer 2 services

e.

GUI-driven configuration

f.

Scalable, standards-aligned design

A single, resilient overlay, automatically selecting the optimum path for every packet. Field-proven for more than a decade and protected by U.S. patents, it delivers assured connectivity wherever conventional networks falter.

a.

Self-forming architecture

b.

Self-healing intelligence

c.

Multi-link agility

d.

Node-level adaptability

e.

Source-node encryption

f.

Integrated data-distribution service

Converts raw returns from mixed-generation surveillance radars into a single, digital track picture making it ready for immediate display on local consoles and for fusion with data from other sensors at upper-tier command systems.

a.

Mobile-agent interfaces

b.

Analogue track extraction

c.

Multi-radar correlation

d.

Real-time visualization

e.

Scalable, standards-aligned design

A self-contained, vehicle-borne command-and-control platform with modular subsystems for expeditionary air-defense operations—delivering datacenter-class computing and resiliency wherever the mission demands.

a.

Ruggedized, low-SWaP chassis

b.

Integrated Communication Controller

c.

Extended temperature envelope

d.

Redundant Ethernet fabric

e.

Pre-hardened Linux stack

f.

Scalable compute & storage pods

g.

Energy-efficient design

Connects suppliers, carriers, warehouses, and storefronts into a single logistics backbone—streamlining planning, sourcing, transportation, and fulfillment for efficiency and transparency.

a.

Product Catalogue & Master Data

b.

MRP & Demand Planning

c.

Sourcing Suite

d.

Supplier Relationship Management

e.

Supplier Collaboration Network

f.

Transportation Management (TMS)

g.

Warehouse & Yard Management (WMS/YMS)

h.

Auto-ID & IoT Tracking

i.

Inventory Management & OMS

An indigenously developed inverter/charger with smart monitoring—delivering reliable, efficient power to residential, commercial, industrial, and remote sites while fostering local supply-chain sovereignty.

a.

Pure-sine power electronics

b.

High-voltage PV front-end

c.

Battery-less & hybrid flexibility

d.

Smart MPPT & battery management

e.

Environmental hardening (IP-54)

f.

Intuitive HMI & cloud OTA

g.

Adaptive operating modes

h.

Made-in-Pakistan scalability

Transforms a 16-cell lithium-ion pack into a protected, data-rich energy source—combining millivolt-level sensing, dual-mode balancing, and cloud-ready telemetry inside a high-side NFET architecture.

a.

Submillivolt instrumentation

b.

Active + passive balancing

c.

Sixfold safety envelope

d.

Highside NFET topology

e.

Multibus connectivity & OTA

f.

Configurable highcurrent profile

g.

Applicationagnostic design

h.

Optional TFT diagnostics

Connects every machine, sensor, and schedule on the factory floor—using real-time IoT data and machine-learning models to cut downtime, balance workloads, and elevate OEE.

a.

Always-on equipment telemetry

b.

Environmental sensing mesh

c.

Live performance dashboards

d.

AI-optimized job-shop scheduling

e.

Predictive-maintenance analytics

f.

IoT-based schedule enforcement

aGS applies evolutionary search to the hardest scheduling problems—minimizing makespan, cutting changeovers, and lifting asset utilization across plants, fleets, and service networks. By iterating through selection, crossover, and mutation, it converges on near-optimal schedules with minimal human input and adapts quickly as conditions change.

a.

Genetic-algorithm optimization

b.

Constraint-aware, multi-stage planning

c.

Changeover minimization

d.

Resource-utilization maximization

e.

Dynamic re-scheduling

f.

Scalable solver architecture

g.

ERP/MES integration

h.

Explainable recommendations

An industrial-grade IoT system with a true plug-and-play sensor bus—delivering a unified stream of operational data to drive safety, quality, and predictive maintenance across lines, fleets, and remote sites.

a.

Plug-and-play sensor bus

b.

Current & three-phase current

c.

Contact temperature

d.

Ambient temperature

e.

Humidity

f.

Vibration

g.

GPS / location

h.

Proximity sensing