Opportunity capture and prioritisation

Enterprise AI,
built for production.
We connect your information, automate complex workflows and give your organisation AI tools to improve operations and track business value.
Across industries




Build enterprise AI around the value it creates
We connect your systems and make AI ownership, cost and business value clear. Reusable components reduce effort as you scale.


The platform for governed enterprise AI
NeuralOps connects agents, information and workflows in your Azure environment, with oversight of ownership, usage, cost and business value.
NeuralOpsKey facts, relevant records and the next review step, brought together.
Complaints intelligence
Your Azure environment
Inside NeuralOps
How NeuralOps connects the information behind the work
The NeuralOps foundation
From enterprise data
to operational value.
NeuralOps
Bring governance, security, privacy, orchestration, observability and human oversight into one shared operating layer.
Identity / Governance / Privacy / Human oversight
Explore the platformBuilt for the way your industry works

AI for public service and government operations
Connect knowledge, improve services and support informed decisions across government, with accountable people at the centre.
Explore Government
AI across utilities and field operations
Support field crews, asset operations and customer teams with connected information and AI shaped around their everyday work.
Explore Utilities
AI across telecommunications
Connect network, field, customer and business operations so teams can work with the information and tools they need.
Explore Telecommunications
AI across the university community
Explore AI for students, teaching, research and institutional operations, built around the university?s priorities and responsibilities.
Explore Higher EducationA repeatable way to deliver AI faster at scale
Find the right opportunity.
Start with the work that matters to your business.
Make the idea work.
Engineer the solution around your systems and controls.
Put it into practice.
Deploy in your environment and reuse the components to deliver further use cases with less repeated effort.




