about & services

who we are

ndtensor is a specialised research and development practice founded in Sydney, Australia in 2018. We design, build, and operate complex software systems for organisations that need their scientific programmes translated into reliable, production-grade digital infrastructure.

We work on programs that demand deep technical craft and sustained delivery — the kind many firms don't take on or can't complete. We're selective by design: a small number of demanding projects each year keeps our standard where it belongs.

founder

The company was founded by Brendan Wright, whose career spans the boundary between fundamental research and applied computer science.

Brendan has published widely, holds patents, and has worked with world-leading research institutes on some of the toughest problems at each intersection. He built ndtensor as a vehicle for that same level of craft — but aimed squarely at commercial outcomes.

capabilities

consulting & advisory
Architecture review, technology selection, roadmapping, and technical strategy for research-to-production programs. We help organisations make informed decisions where the stakes are high.
research translation
Turning academic research, scientific analysis pipelines, and experimental methodology into operational digital infrastructure. We bridge the gap between a paper and a deployed system.
algorithm development
Custom algorithms in applied mathematics, signal processing, optimisation, statistical inference, and scientific computing. We write performant, correct, and well-documented code that handles real-world complexity.
full-stack platform development
End-to-end design and delivery of web-based platforms, analytics environments, and operational workstations. Frontend interactions through to backend logic, data layers, and deployment.
data engineering & MLOps
Designing data pipelines, feature stores, model training infrastructure, and monitoring systems that keep machine learning models reliable in production at scale.
web applications & interfaces
Interactive dashboards, visualisation tools, and application interfaces for operational monitoring, scientific exploration, and data-driven decision making.
machine learning (CV & time-series)
Deep learning solutions for computer vision tasks and temporal modelling of real-world operational infrastructure. From data through to model deployment in the field.
infrastructure hosting & deployment
Server provisioning, container orchestration, CI/CD pipelines, and ongoing managed operations. We deploy with production-grade reliability and keep it running.