Skip to content
TENSORSPEED

AI/ML Research & Solutions

Turning structured data into confident decisions.

TensorSpeed researches and builds classification systems for organisations whose most valuable information lives in tables — records, transactions, measurements and forms.

Work with usExplore our research
classifierclass Aclass B
dashed: low-confidence bandn = 72

What we do

Research that ships, solutions that hold up

Most of the world's business and scientific data is tabular. We study how to classify it accurately, efficiently and transparently — and we put that work into production.

Classification on real-world data

Messy, mixed-type, incomplete tables are the norm, not the exception. We study methods that hold up on the data organisations actually have.

Reliability & uncertainty

A prediction is only useful if you know how far to trust it. We focus on calibrated, well-understood models whose confidence means something.

Small data, strong results

Many high-value problems have hundreds or thousands of rows, not millions. We work on approaches that learn efficiently from limited examples.

Solutions

From question to production

We partner with teams to turn research into systems they can rely on.

All solutions

Assessment & prototyping

A focused engagement to understand your data and decision, and to show what a model can realistically deliver — before you commit to building one.

Custom classification models

Models designed around your problem, your constraints and your definition of success, with honest evaluation against a clear baseline.

Integration & deployment

From notebook to production: we help put models where decisions are made, with the monitoring needed to keep them trustworthy over time.

Where it applies

Wherever a decision depends on a category

  • Risk & fraud detection
  • Customer churn prediction
  • Healthcare triage
  • Manufacturing quality control
  • Lead & opportunity scoring
  • Record & document categorisation

Approach

How we work

  1. 01

    Understand

    Your decision, your data, and what a good outcome looks like.

  2. 02

    Prototype

    A working model on your data, measured against a simple baseline.

  3. 03

    Validate

    Rigorous testing for accuracy, robustness and fairness.

  4. 04

    Deploy

    Integration into your workflow, with monitoring and handover.

Have a classification problem worth solving?

Tell us about your data and the decision you need to make.

Get in touchadmin@tensorspeed.com