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Descriptive


What happened?

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Predictive


What will happen?

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Prescriptive


What to do?

ALGORITHMS


We help organisations learn about their ideal environment and how to best interact with it


Our AI detects patterns, predicts outcomes and automates optimal decision-making. Even if your organisation doesn't have a lot of data or cannot clearly define the optimal process, our algorithms will help your organization learn about its ideal environment and how to best interact with it. They will also adapt to new data and experiences to continually improve efficiencies.

DIGITAL TRANSFORMATION


An expedited roadmap to machine learning automation and digital transformation


AI shouldn't feel complicated, overwhelming or expensive.  Our algorithms make live intelligence easily accessible for industry and helps each department be more productive by letting them focus on what matters most.

 

Services


Fast, scalable and simple to use


Our services are fast, scalable and simple to use so that our customers can easily apply AI to any operation



1. Start with data from multiple sources


Enterprises have a lot of data.  Structured log files, spreadsheets and tables. Unstructured documents, emails, images and videos.  This data is typically stored in disconnected systems, where it rapidly diversifies in type, increases in volume, and over time becomes more difficult to use.  Stakeholder who rely on this data need a way to ask questions and receive answers in real time and in a language they understand. 


2. Integrate the data into a human centric model


OptimalAI integrates and transforms data, regardless of type or volume, into a single, coherent data asset.  As data flows it is enriched and mapped into meaningfully defined objects, people, places, things and events - and the relationships that connect them.


3. Tag, Secure and track all the data


Once the AI has been created, source data flows on an ongoing basis. Security rules are applied along the way so that only authorised users can access data.  Data from source systems flows to the algorithms alongside the content users add, whether by entering it manually, uploading a spreadsheet or linking objects. 


4. Bring the data to life for human in the loop analysis


The AI brings live data and people together to empower one another.  As the 'humans in the loop' collaborate and build off of each other's work, they expand a body of shared intelligence for the organisation. Stakeholders can search all data sources at once, explore divergent hypotheses, surface unknown connections and patterns, and share insights with their colleagues. This ecosystem of data, capabilities augments the capability of the entire organization.