Enable and accelerate your AI and ML journey by engaging our experts to provide you with immediate capability
Delivering world-class ML and AI solutions which leverage your data to identify the next-best-actions for your customers across the following key areas:
We offer alternative engagement models to suit your organisational needs, whether you need us to be embedded with your team or a more traditional model.
We aim to go beyond the deliverable and our collaborative and skills transfer approach builds an experimental culture within your in-house team.
We have a great reputation for expertise in the industry and we maintain that by keeping our team on the leading edge of data science.
Activate your data for next-best-action customer decisioning in weeks, not months or years. If you have a data science team, we can enable them with our specialist expertise and production systems, and if you do not, we can help you build that team and those systems.
We collaborate with your business and analytics teams to develop custom ML models for your specific use case and business needs. We can also assist with deploying your models in your environment and advise on what factors to consider in your deployment architecture.
Our expert data science consultants have deep experience across multiple industries, including Banking, Insurance, Telco and Retail. We bring years of experience and corporate knowledge to all of our engagements to ensure the best possible outcomes for you and your customers.
Our model deployment platform Atmosphere has been designed with the Australian AI Ethics framework in mind and offers features to manage and monitor your use of AI & ML. Our team can deploy Atmosphere and help onboard your use cases to ensure that they fall within this framework.
For organisations that are in the early stages of their journey, this service is designed to identify high-impact next-best-action use cases, prioritise these use cases according to your business objectives, and formulate a roadmap based on your current maturity and readiness.
The main challenges organisations face when developing ML capabilities are scale, version control and model reproducibility. Our service is designed to align your stakeholders and assess your organisation against an MLOps capability model to identify and close any gaps in your process.
The use of experimentation within your organisation to accelerate your learning cycle is now a must-have to keep pace with the competitive landscape. This service assesses your current use of experimentation and provides guidance on scaling maturity across the organisation.
We partner with the world-leading Gradient Institute, who evolve ethical best practices in AI, to provide AI systems assessments. We jointly evaluate, design and measure your AI systems against ethical goals, using the latest research on the new science of ethical AI.
Ambiata has offices in Sydney and Melbourne, Australia. It is part of the IAG group, with offices throughout Australia, New Zealand and Singapore.
We are always keen to discuss how we can assist with our AI solutions and services, and how they might help bring positive impact to your customers.
Please leave a message about the challenges you are facing and we will get back to you as soon as we can.