JayTech

AI for transportation

Moving people and freight with smarter decisions

JayTech is a studio applying machine learning and optimization to the hard problems of roads, rail and logistics.

Explore our workTalk to us

The challenge

Transport networks are running out of slack

Demand keeps growing while capacity is slow and expensive to add. Better decisions are often the fastest way to get more from what already exists.

Congestion

Peak demand overwhelms fixed plans.

Delay

One disruption cascades through the network.

Safety

Risks are spotted after the fact, not before.

Utilization

Vehicles, crews and yards sit underused.

Focus areas

Where we apply AI

Six areas, one goal: decisions that work in the real system, not just in the model.

Aerial view of a dense multi-level highway interchange
Roads

Traffic Forecasting & Signal Control

Network-wide demand prediction and adaptive signal plans that respond as conditions change.

Train passing a station platform in a blur of light
Rail

Rail & Transit Optimization

Timetabling, rolling stock and crew planning, solved with optimization and learning together.

Aerial view of stacked shipping containers, trucks and freight trains at a port
Freight

Logistics & Fleet Routing

Yard, terminal and fleet decisions coordinated across the whole freight chain.

Highway seen from a vehicle camera with detection boxes around a car and a road sign
Perception

Computer Vision for Road Safety

Detecting vehicles, signs and incidents from roadside and on-board cameras.

Roof-mounted lidar and camera sensor unit on a test vehicle
Autonomy

Autonomous Driving

Perception, prediction and simulation tooling for automated vehicles.

STA ASTA BSTA CSTA DSTA EAGENT: re-time at Cconflict resolved
Operations

LLM Agents for Operations

Assistants that help dispatchers read disruptions and evaluate recovery options.

How we work

From raw data to running systems

01

Data

Audit and fuse sensor, schedule and operations data.

02

Modeling

Build predictive models grounded in the domain.

03

Optimization

Turn predictions into feasible, explainable plans.

04

Deployment

Integrate with operators and keep improving.

Featured work

Selected projects

Team

Researchers and engineers

A small team working across transportation engineering, operations research and machine learning.

AC

Alex Chen

Founder & Lead Scientist

Optimization and rail operations.

MP

Maya Patel

Head of Machine Learning

Forecasting and computer vision.

LN

Leo Novak

Lead Engineer

Data platforms and deployment.

Let’s talk

Have a transport problem worth solving?

Tell us about your network, your data and what you want to improve.

Get in touch