Trantor Labs
Where AI becomes standard practice at Trantor, starting with our own work.
Labs exists so that the methods we bring to your account have run on ours first.
Talk to usWhy Trantor built a lab
By June 2027, AI will be standard practice across every Trantor team.
A commitment like ours needs a place built for it.
Labs is where Trantor tests AI on its own work before bringing it to you. What works becomes the way every team works. What fails is written down and rebuilt.
A client account will not be the first place a method is tried.
What Labs works on
The models are only the beginning.
What makes AI reliable is the system around it, so Labs works on the whole system: how it is built, how it is proven, and how it is run.
01Build
Agents in delivery
Assistants that route work to specialist agents and act on the systems behind them.
AI-assisted engineering
Coding assistants, test generation and release tooling for Trantor's own infrastructure and software delivery.
02Prove
Evaluation
Tests that show whether a change made an AI system better or worse, and judges that score decisions a fixed rule cannot.
Human-in-the-loop methods
Where people review, correct and approve AI decisions, and how that review makes the system better over time.
03Run
Context engineering
What a model is given to read, and how that is kept current as the system changes.
Operating AI
Failure catalogs, monitoring and the operating knowledge that keep a system reliable after launch.
From our work to your account
Customers get what Labs learns first.
Through briefings and workshops, and into the engagements it fits. What is built for your account, the tests, the failure history and the context, stays with it.
Questions about Labs
Two questions a buyer is right to ask.
Where it fits the problem and you approve it, yes, and only once it has run on Trantor's own work.
Labs briefings are by invitation. They are how customers see Labs work before it reaches an engagement.