01
Pipeline engineering
Build reproducible training, evaluation, deployment, and monitoring workflows.
Building AI
AI that makes it to production.
We automate, optimize, and save resources.
Services
From raw data to efficient solutions.
Practical consulting for teams that can benefit from automated systems.
02
Data model strategy
Identify high-value use cases, validate feasibility, and define a clear roadmap.
03
Model improvement
Audit existing models, fix bottlenecks, and improve data quality.
Systems in motion
Complex systems can still feel beautifully clear.
A clear route from uncertainty to smart decisions.
FAQ
Clear answers before we start.
Good consulting starts with shared expectations, sensible scope, and a focus on outcomes.
Do you work with our existing infrastructure?
Yes. We begin by understanding your data sources, cloud environment, codebase, and delivery constraints, then recommend the smallest sensible change that moves the system forward.
Can you help before we have a model?
Definitely. We help assess whether ML is the right solution, define success metrics, evaluate data readiness, and design a pragmatic first implementation.
What does a typical engagement look like?
Most projects begin with technical discovery, followed by an implementation plan and hands-on delivery with your engineering or data team.
How do you measure success?
We agree on measurable technical and business outcomes upfront. Model quality, inference reliability, deployment speed, cost, or analyst time saved are all plausible metrics.
About us
Technical depth. Direct communication. Systems that last.
tenX is a specialist consulting practice for organisations that need solutions to be rigorous, useful, and production-ready.
We combine data science, software engineering, and MLOps thinking to automate and optimize pipelines.
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