Sciensa

// Industries / Mobility & Logistics

Orchestrating movement with software precision

Operational platforms, tracking & orchestration systems, mobility marketplaces and AI efficiency — for companies that move the world.

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1M+Trips managed per day
50K+Deliveries processed per day
97%On-time delivery rate
25%Delivery cost reduction

// OUR DIFFERENTIATOR

Logistics engineering at real operational scale.

Engineer analyzing event-driven systems architecture on large monitor
Event streaming at scaleSub-second dispatchReal-time route optimizationLive tracking state management

Real-time orchestration for millions of events

At one million daily trips, every second of orchestration latency is a cascading failure waiting to happen. Sciensa's event-driven architecture processes millions of position and demand events per minute without latency degradation. (McKinsey (2025))

0M+Daily events processed in real time
AI decision flow for route optimization and operational analytics
ML route optimizationDynamic capacity planningMulti-constraint solverDriver behavior analytics

AI routing that actually reduces costs

AI routing is not about finding the shortest path, it is about continuously re-optimizing across thousands of variables simultaneously. Logistics platforms with AI routing reduce operational costs by 15–20% and improve on-time delivery by up to 30%. (WEF (2025))

0%Delivery cost reduction with AI routing
Dashboard operacional em escritório com vista para cidade

// WHAT WE DELIVER

Engineering for movement.

From fleet management to AI routing, every layer optimized for speed.

Operational Platforms

Fleet management, driver/courier apps and operational control towers for real-time visibility across logistics networks.

// CASES

Production results.

G2L · Gerdau group

We built the Gerdau group digital carrier.

The operation had no effective load monitoring and no visibility over spend with partner carriers. In two years, G2L came to run with loads open to drivers, fleet control, routes, insurance and document validation.

Sciensa's role

Product conception and platform construction

  • 2 yearsof project
  • 6fronts on the same platform

// FAQ

Frequently asked questions.

Trip orchestration matches supply with demand in real time across thousands of concurrent transactions. At 1 million daily trips, the system must make matching decisions in seconds while managing dynamic pricing, routing, ETA prediction and exception handling.

AI route optimization recalculates routes dynamically using real-time data, live traffic, weather, vehicle capacity, delivery time windows and driver availability, adapting to actual conditions rather than expected conditions.

A two-sided marketplace connects supply (drivers, vehicles, fleets) and demand (passengers, shippers). Engineering challenges include preventing market imbalances, pricing dynamically to balance both sides, and handling real-time geographic coordination.

Supply chain visibility means knowing the location and status of goods throughout the logistics network. With real-time tracking, exceptions are detected as they happen, enabling proactive rerouting before SLA violations occur.

Logistics software fails at scale because of relational database bottlenecks, synchronous architectures collapsing under concurrent updates, and monolithic systems that can't scale components independently. Prevention requires event-driven architecture and purpose-built time-series and geospatial data stores.

// Mobilidade & Logística

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Talk to our team about your mobility, tracking and operational orchestration challenges.

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