TRAN Inc. helps product teams design, build and validate AI-powered systems: from autonomous agents and data pipelines to test automation for complex industrial and mobility software.
One team that can build your AI features, automate your workflows and prove that everything works before it reaches users.
Custom AI agents that reason, call tools and APIs, and complete multi-step tasks: support assistants, internal copilots, document and data agents.
Automate repetitive business processes end to end: reading documents and emails, extracting data, routing work and updating your tools.
Turn production, test and business data into decisions with clean pipelines, dashboards and predictive models.
Test and evaluate AI and LLM features for accuracy, safety and reliability, and use AI to speed up your existing testing.
Automated test frameworks for web, mobile, API and embedded or hardware-connected systems, wired into your CI/CD pipeline.
Selected areas of recent work. Client details stay confidential, but this is the kind of complex, high-stakes software we build and test.
Software that validates products and equipment on the production line: running test sequences, collecting measurements from stations and deciding pass or fail with full traceability for quality audits.
Developed and tested validation workflows, verified system behaviour against specifications, and automated regression testing for every software release.
Errors in validation software reach physical products. Every result must be correct, repeatable and auditable.
Anomaly detection on measurement data and analytics dashboards for yield and failure trends.
Automated test frameworks that replace slow manual regression cycles, covering user interfaces, APIs, back-end services and hardware-connected systems.
Designed maintainable automation frameworks, converted manual test cases into automated suites and integrated them into build pipelines with clear reports.
Faster, repeatable regression testing means shorter release cycles and fewer defects in production.
AI-assisted test case generation, self-healing locators and smarter failure analysis.
A flexible car usage platform connecting customers, vehicles and operators: booking, vehicle availability, pricing and the back-office processes behind them.
Built and tested core features across web, mobile and back-end services, including end-to-end scenarios across integrated systems.
Mobility platforms run in real time with real customers and real vehicles, so reliability has to be designed in and tested continuously.
Demand forecasting, smart pricing and AI customer-support agents.
We have also delivered for social networks, car services, email marketing and airport visitor management platforms.
A clear, low-risk path that shows value early and keeps quality built in at every step.
We map your process, data and goals, and pick the use case with the best return.
A working proof of concept in weeks, not months, measured against real examples.
Production-grade code connected to your systems, with security and monitoring.
Automated tests and evaluations on every release, then continuous improvement.
We started as an independent testing company. Every AI system we build is designed to be tested, measured and trusted.
An experienced team ready to start, for projects of any size, with no long hiring process on your side.
From GMT+7, work you finish during your day is tested overnight, and the results are ready the next morning.
Lower cost than hiring specialists in-house, and a bias-free outside view that finds more issues before your users do.
Founded in 2012, TRAN Inc. started as a provider of QA and software testing services for small and mid-sized companies. Today we combine that quality discipline with modern AI engineering to build agents, automation and analytics that work reliably in production.
We work with clients in manufacturing, automotive and mobility, social networks, email marketing, airport visitor management and more.
Tell us what you want to build, automate or test. We’ll reply within one business day with ideas and a proposed next step.