We start by analysing your requirements, your data and the tasks the model has to handle. Then we build and train a model that fits those tasks.
Machine Learning Development Services
We design, train and deploy machine learning models for your data and business processes, from discovery to support in production.
Machine learning development services
Our machine learning development services include:
Every business has repetitive, time-consuming tasks that still have to be done. We build ML tools that take over this work, including parts of internal and external communication, so your team has more time for work that needs people.
Natural language processing (NLP) lets machines interpret and analyse human language. We build NLP tools that analyse customer sentiment and power self-service options that answer customers around the clock.
We build, deploy and manage robotic process automation (RPA) bots that repeat the rule-based actions people perform in software. RPA is often combined with ML models for steps such as reading documents. It suits HR, finance, customer service, marketing and logistics.
Even small companies now collect large amounts of data, and ML results depend on its quality and labelling as much as on its volume. We help you set up and run your data warehouse: implementation, migration, testing, support and advice.
We help you put your data to work for your business goals: roadmaps, solution architecture, big data extraction and management, and ML model development and tuning.
Recommendation systems use ML and deep learning to find patterns in user interactions and suggest other products and services based on each user's preferences. This keeps customers engaged and can increase sales.
As part of our machine vision consulting, we build systems that identify attributes in images using digital image processing techniques. Typical uses include detecting faulty materials and classifying images quickly and accurately.
Knowing how a user feels helps you support them better. We use deep learning for audio recognition and emotion analysis in voice chatbots and other applications.
Our ML services find patterns in your data and turn them into forecasts, for example of demand or market trends, so you can plan ahead.
Machine learning consulting services
Already have a machine learning model? We can assess it, suggest improvements, retrain it and maintain it.
Our machine learning consultants assess whether your current solution will hold up in the long term and, if needed, help you create a roadmap.
Our machine learning consultants assess whether your current solution will hold up in the long term and, if needed, help you create a roadmap.
Whether you use a deep neural network or a simpler model, we can help you train it on your data.
We deploy your ML system to production, where the model runs inference on new data.
Like any software, ML systems need maintenance, including retraining when the data changes. We provide full support and maintenance.
Implementing machine learning solutions
Why work with Go Wombat on your machine learning project:
An experienced team of ML experts
Our machine learning consultants work out which problem you need to solve and design a solution for it.
Deep learning expertise
Beyond training models on your data, we handle more complex deep learning work, such as tuning model parameters.
Flexibility and creativity
We adapt the approach to your business rather than forcing a standard solution on it.
How can machine learning benefit your business?
Where machine learning can help your business:
Boost your productivity and bottom line
ML tools built for your processes can raise productivity and profitability.
Improve client engagement
Self-service options keep your audience engaged and free up your team.
Allow for better supply chain planning
Anticipate demand and reduce human error with ML algorithms that learn from historic delivery records and real-time data.
Minimise operational bottlenecks
ML models can spot patterns that point to bottlenecks before they slow down operations.
Set up real-time inventory control
Get alerts about possible overstocking and shortages and lower inventory holding costs with a solution based on data science and ML.
Better management of company finances
Machine learning supports financial modelling, planning and analysis, and fraud detection.
Business analysis and discovery phase
Full-fledged ML development and engineering
Implementation and deployment
Support and maintenance
Technologies we use
We work with Python, Django, JavaScript and the ML frameworks and libraries below.
Python is the go-to language for machine learning and our main language. The ML frameworks and libraries we use, such as TensorFlow, PyTorch, Keras and Pandas, all work in Python.
TensorFlow is an open-source ML platform focused on training deep neural networks. It has a large ecosystem of libraries and pre-trained models and can deploy models in many environments.
OpenCV (Open Source Computer Vision Library) is a widely used open-source library for image processing and computer vision. It is used to build vision applications for commercial products and can run ML models. The library contains over 2,500 algorithms.
PyTorch
Keras
Pandas
Our approach to delivering machine learning services
Our software development life cycle for machine learning projects:
Let’s discuss your machine learning project
Machine learning pays off when you have a repeatable decision to automate and enough good data. The choice of algorithms, model training and implementation decide whether the project succeeds.
Get in touch to discuss your ML project. We can plan it, build the model and take the development load off your internal team.
Use cases
4D
Adtech solution
July 2019 — Ongoing
4D, a product by SilverBullet, is a marketing and advertising platform that matches ads with the right audience in the most relevant context. This privacy-first solution helps brands, agencies, publishers, and ad platforms thrive in the post-cookie era by ensuring that ads are contextually aligned across all channels, thereby enhancing their effectiveness and engagement. 4D delivers display, video and in-app campaigns in trusted environments, using contextual targeting and insights.
Deltabase
AI benchmarking platform
September 2019 - April 2020
When we worked with Deltabase, it was an AI benchmarking platform that let potential investors evaluate and compare companies by requesting intelligence reports. It collected and processed data on companies from open sources worldwide and benchmarked business performance against competitors.
Music Health
Music app for dementia care
Health & Wellness, Artificial Intelligence/Machine Learning
October 2021 - November 2022
Australia
Music Health builds AI-driven, music-based apps for dementia care. Its flagship app, Vera, offers personalised music for people living with dementia and their caregivers.
Machine learning services FAQs
Machine learning can make operations more efficient and give you an edge over competitors.
Common applications include:
Optimising marketing campaigns
Real-time chatbots
Detecting spam
Image classification
Text parsing
Predictive modelling
Recommendation engines
Improving recruiting and other HR processes
They probably are if you have enough data and need to make predictions or recommendations, run a customer service chatbot, classify images or parse text.
Book a consultation, tell us about your needs, and we will tell you which ML services, if any, your solution needs.
We provide ML services in these categories:
Machine learning model development
Business workflow automation
Robotic process automation
Natural language processing
Data engineering and warehousing
Big data services
Recommendation engines
Computer vision and image analysis
Audio recognition and analysis
Predictive analytics and smart insights
How can we help you?
