Machine learning development that turns data into predictions
Machine learning finds patterns in your historical data and uses them to predict what's likely next. Our machine learning development team builds, tests and deploys models for forecasting, scoring, recommendations and detecting problems early.
At a glance
- Forecasting and prediction models
- Classification and scoring
- Recommendations and personalisation
- Models deployed and monitored in production
What is machine learning development?
Machine learning development is building models that learn from data to make predictions or decisions, such as forecasting demand, scoring leads, detecting fraud or recommending products. It covers preparing data, training and testing models, deploying them into your systems and monitoring their accuracy over time.
Services
Models we build
We pick the simplest model that works, and explain how it reaches its results.
Demand forecasting
Predictive models for sales, stock and staffing needs.
Lead and risk scoring
Rank leads, customers or transactions by likelihood.
Recommendation engines
Suggest products or content based on behaviour.
Anomaly detection
Spot fraud, faults or unusual activity early.
Computer vision
Recognise objects, defects or text in images and video.
MLOps
Deploy, monitor and retrain models in production.
Is it right for you?
Problems machine learning solves well
- You need better forecasts than spreadsheets give you
- Your team reviews large volumes of items manually
- You want to personalise what each customer sees
- Faults, fraud or churn are found too late
Compare
Machine learning vs rule-based logic
If simple rules do the job, use rules.
| Compare | Machine learning | Rule-based logic |
|---|---|---|
| How it decides | Learns patterns from data | Follows rules people write |
| Complexity | Handles many factors at once | Gets unwieldy quickly |
| Needs | Good historical data | Clear, stable rules |
| Best for | Prediction and pattern-finding | Simple, well-defined decisions |
How we work
Our process, step by step
Discover
The decision you want to improve.
Prepare data
Data collected, cleaned and explored.
Build models
Several approaches compared fairly.
Validate
Accuracy tested on data the model hasn't seen.
Deploy and monitor
Models in production, watched and retrained.
Technology
Tools and technologies we use
Languages
Libraries
Platforms
MLOps
Why Kedra Digi
Why work with us
Designers, developers and testers work together in-house. Your project is never passed to a subcontractor.
Before any work starts you get an itemised proposal that explains what we'll build and how.
Source code, designs, documentation and accounts are handed over to you. There's no lock-in.
We monitor, maintain and improve what we build for as long as you need us.
Kedra Digi is an Australian-owned software development company. See our recent projects.
How much data do we need?
How much does machine learning development cost?
How accurate will the model be?
Can we understand how the model makes decisions?
What happens when things change?
What's the difference between AI and machine learning?
Related services
Often paired with this service
Free discovery call
Have data you'd like to predict from?
Tell us about the decision you want to improve. We'll reply within one business day with honest advice.
Prefer email? [email protected]