Porsche Engineering
Applied machine learning, acoustic modelling and workflow development within real-world engineering constraints.
01 / HOW WE WORK
From a business problem to software that works.
We turn ideas, bottlenecks and manual workflows into practical digital products. Every engagement begins with clarity, moves through a structured build process, and ends with a solution your team can confidently use.
- Discover
- Define
- Build
- Launch
02 / WAYS TO WORK
Choose the engagement that fits.
01
Fast Launch
For landing pages, static websites, portfolio sites and straightforward business launches.
Book a Consultation02
Fixed-Scope Project
For clearly defined websites, applications, integrations and automation projects.
Book a Consultation03
Continuous Membership
For businesses that need ongoing design, development, maintenance and technical improvements without hiring a full internal team.
Book a Consultation04
Custom Systems
For AI, data and automation projects that require discovery, architecture and phased development.
Book a ConsultationNot sure which option fits? Tell us what you want to launch, fix or automate. We'll recommend the simplest sensible approach.
03 / PROCESS
Clear from first conversation to launch.
01
Consult
30 minutesUnderstand the business problem, users, constraints and intended outcome.
02
Define
1–3 business daysConfirm scope, deliverables, responsibilities, price and delivery plan.
03
Design
2–7 business daysPlan the interface, workflow, data requirements and technical architecture.
04
Build & Test
Depends on project typeDevelop, integrate, validate and refine the solution.
05
Launch
1–5 business daysDeploy, document, hand over and establish post-launch support.
Indicative project ranges
Landing page3–5 working days
Business website1–3 weeks
Automation workflow2–6 weeks
Custom web application4–10 weeks
AI or data system6–12+ weeks
Indicative timelines only. Actual delivery time may vary with project size, integrations, data readiness and feedback cycles.
04 / EXPERIENCE BEHIND JTA
Research depth. Industry experience. Practical execution.
JTA Software is shaped by experience across applied AI, industrial engineering, research and cloud-based data systems.
RWTH Aachen University and NUS
Research experience across AI, time-series analysis, computer vision, signal processing and data-driven systems, supported by multiple publications.
Microsoft Certified: Azure Data Scientist Associate
Validated expertise in building, training and deploying machine-learning solutions using Microsoft Azure.