# The Only AI Built
Exclusively for Logistics

Optimizes every stage of the delivery journey for maximum efficiency.

SLA Compliance
1 %
Distance Saved
1 %
Fewer Vehicles
1 %
Dispatch Latency
45ms

## OPTIMIZE EVERY MILE

Cut travel distance, reduce operating cost, and improve fleet productivity across every route.

/ Performance /

## SMARTER ROUTES. LOWER COSTS.

-42%DISTANCE SAVED
-37%FEWER VEHICLES
Performance InsightAI ENGINE
0%Distance Saved
0%Faster Routes
0%Lower Cost
0.0%On-Time
Route Optimization

AI selects the most efficient path across every zone.

Distance Reduction

Same volume delivered with a leaner, better-used fleet.

Fleet Efficiency

Higher utilisation and lower operating cost.

SLA Performance

Real-time correction keeps deliveries on time.

Distance Saved 0%
Faster Routes 0%
Lower Cost 0%
On-Time 0.0%

## CHOOSE THE BEST PLAN

Analyze thousands of route possibilities and automatically select the most efficient delivery strategy.

/ Innovation /

## MANY STRATEGIES. ONE BEST PLAN.

45ms INFERENCE
100%SLA-FIRST
AI Decision EngineAI ENGINE
0ms Inference
0+Strategies
0.0%SLA Met
0/7 Adaptive
Generate Routes

Many strategies explored per dispatch window.

Check Constraints

Battery, capacity, distance and time validated.

Score & Compare

Plans ranked by total cost in parallel.

Select Best Plan

SLA-first plan locked in and dispatched.

Inference 0ms
Strategies 0+
SLA Met 0.0%
Adaptive 0/7

## BUILDING QUANTUM INTELLIGENCE

Exploring a hybrid optimization layer that treats routing as an energy landscape, not a search problem.

/ Quantum Intelligence /

## FROM ROUTE SEARCH. TO ENERGY MINIMIZATION.

QUBO PROBLEM MODEL
HYBRID INTELLIGENCE
Quantum IntelligenceHYBRID ENGINE
QUBO Problem Model
GLOBAL Minimum Search
HYBRID Intelligence
MULTI Objective
Encode the Problem

Rider assignments, delivery sequences, capacity, traffic, service time, and SLA constraints become part of one mathematical optimization model.

Build the Energy Landscape

Each feasible routing solution is represented as a state with its own energy through a QUBO formulation.

Search the Global Minimum

Optimization becomes the search for the lowest-energy state instead of evaluating route combinations one by one.

Hybrid Intelligence

Classical algorithms, AI models, and quantum optimization work together using the right computational model for each problem.

Dynamic Routing Multi-Rider
Time Windows Optimized
Fleet Balancing Real-Time
Objectives Cost + Distance + SLA