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AI Development Services and Solutions

Go Wombat develops and integrates AI into software for established businesses. Our work connects models, data and application workflows, from computer vision in electronics manufacturing to data-intensive enterprise platforms. We start with the operational problem, the available evidence and the systems the solution must work with.

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AI development in practice

See our Cybord case study for software engineering around electronics inspection and component traceability. For related capabilities, explore computer vision development and data and business intelligence services.

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End-to-end AI services and software solutions

We work as an ongoing AI partner or on one-off projects.

AI consulting services

AI consulting services

Our business analysts run a discovery phase to find where AI can improve your processes and plan how to build it.

Data preparation and management

Data preparation and management

We clean, structure and manage the data your models need, which makes development and implementation smoother.

AI software development

AI software development

Our AI engineers build software with AI capabilities, using an existing API or a newly trained model.

User training

User training

We train your team to use the AI tools we deliver.

ML modelling

ML modelling

If your internal team has already built the AI solution, our engineers can take on the modelling using your internal data.

Software testing for AI and ML

Software testing for AI and ML

Our testing engineers check the quality of your AI solution and find bugs before your users do.

Support and maintenance

Support and maintenance

After launch, our developers answer questions, fix issues and make updates.

AI developers to extend your team

Building a full-time internal AI team is costly and slow. Our AI developers can join your project without you having to recruit and train them.

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Need AI developers to help staff your team?

Advantages of artificial intelligence and machine learning for your business

AI can turn your data into insights and optimise workflows. As an AI consulting company, Go Wombat helps you decide where it will pay off and how to implement it.

Automation

We identify repetitive tasks and workflows that take up too many resources and find ways to automate them, which reduces errors and saves time.

Segmentation

A personalisation engine groups customers by their preferences, so you can tailor and automate sales and marketing for each segment.

Analytics

Custom analytics give you more meaningful insights and support better decisions.

Customer satisfaction

We find the steps in your sales journey that automation can improve for your customers.

Our artificial intelligence and machine learning services

AI can automate internal processes and increase efficiency, provided it is well designed and built to development best practices.

Out-of-the-box solutions are designed for a wide range of industries, so they often lack features your business needs.

We build AI solutions around your requirements and the systems you already use.

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Our artificial intelligence and machine learning services

Our AI capabilities

The AI capabilities we build into business software:

Generative AI

Generative AI

Custom generative AI solutions that produce text, images, video and other content.

Computer vision

Computer vision

Custom computer vision tools that classify objects, detect defects and track inventory.

Natural language processing (NLP)

Natural language processing (NLP)

Custom NLP tools that handle language tasks such as sentiment analysis at scale, so you understand customers better, defuse problems early and improve your service.

Chatbots

Chatbots

Chatbots provide customer support 24/7 and resolve issues that don't need a human.

AI model evaluation and upgrade

AI model evaluation and upgrade

We evaluate your existing AI model, then retrain and tune it where needed.

Predictive analytics

Predictive analytics

Models that find patterns in historical data to spot trends and forecast events and conditions.

Detection of anomalies

Detection of anomalies

Machine learning models that find outliers in data series, helping you catch fraud, malfunctions and security threats.

Data engineering and analysis

Data engineering and analysis

Our engineers turn raw data into a usable form, so ML models can be applied to it and their output used in decisions.

Cloud-based AI platforms

Cloud-based AI platforms

Cloud AI platforms provide the infrastructure to deploy and scale AI models with minimal downtime. We help you choose the right platform.

We build AI tools for major industries

Our main industry specialties:

Why work with Go Wombat?

Go Wombat has been building software for more than 10 years, working closely with experts from different industries. We use that experience to build AI tools for the specific problems your team deals with every day.

We can lead your AI project from scratch or work to a plan you already have.

Let’s discuss your AI project

Tell us about the workflow you want to improve and the data you have.

Book a consultation to discuss our AI development services.

Tell us about your project
Get in touch with us to learn more about our AI services

Case studies

See our AI development services at work.

Cybord

Quality control automation system

February 2021 - Ongoing

Cybord removes counterfeit and defective components from production lines. Its technology uses AI and big data to identify counterfeit, defective and tampered components, including hardware-based cybersecurity threats. Defects are detected during component placement and before reflow, which makes rework simpler and products more reliable. Integration with manufacturing execution systems quarantines nonconforming materials so they cannot be used.

Cybord

IDFree

Data reporting software

March 2020 - Ongoing

IDfree is a platform for building targeted advertising campaigns while respecting user privacy. It uses anonymous data, such as demographics and location, to reach the chosen audience across multiple channels. Unlike traditional advertising methods that rely on cookies, IDfree complies with privacy regulations like GDPR and CCPA. This ensures efficient and compliant advertising, providing a solution for advertisers in the evolving landscape of online marketing. IDfree also offers custom data reports based on statistical data from most European countries.

IDFree

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.

Deltabase

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.

Music Health

Artificial Intelligence FAQs

AI services help organisations find where AI can improve efficiency and margins, and then implement it. Typical uses include customer engagement, personalised recommendations, security and safety, and customer support.

AI can provide businesses with services such as:

  • Chatbots

  • Agent assist

  • Intelligent process automation (RPA combined with AI)

  • Machine learning

  • Natural language processing

  • Conversational IVR systems with speech recognition

  • AI for marketing

  • AI for processing information more efficiently

Go Wombat's ML consulting can show you which of these fit your organisation.

Many industries use AI for decision-making, process automation and customer experience, including healthcare, finance, retail, manufacturing and logistics, marketing and education.

The cost depends on factors such as the size of your business and the scope of the solution.

Our consultants can give you an estimate once they know the details.

Bring one workflow, representative data, a list of connected systems and the decision you want to improve. Identify who owns the data and who will use the output. Discovery can then define integration boundaries, evaluation criteria and the conditions for taking the solution into production.

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