AShree Ananta Group
Enterprise AI · Australia

AI that performs where the stakes are highest.

Shree Ananta Group builds production-grade AI systems for mining and healthcare — engineered for the physical world, regulated environments, and industrial scale.

Trusted where precision is non-negotiable

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Trusted where precision is non-negotiable

0%
Reduction in unplanned downtime
Predictive maintenance across haul fleets
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Faster diagnostic triage
Clinical imaging pipelines
0
Production AI systems deployed
Across three regulated sectors
0%
Model service uptime
MLOps SLAs for industrial clients
Sectors

Deep expertise in two demanding worlds

We don't do generic AI. We build for the operational realities of the sectors we serve.

Mining

Predictive maintenance, ore-grade estimation, autonomous fleet analytics, and safety-critical computer vision for harsh environments.

Explore mining

Healthcare

Clinical decision support, medical imaging, patient-flow forecasting, and compliant ML under TGA and privacy regimes.

Explore healthcare

Industrial

Process optimisation, quality inspection, and digital-twin analytics for asset-heavy operations.

Explore industrial
How we work

From proof-of-value to production

01

Discover

We embed with your operators to find the highest-leverage problems and the data that surrounds them.

02

Prototype

A rigorous proof-of-value in weeks, benchmarked against real operational baselines.

03

Productionise

We ship it — MLOps, monitoring, and human-in-the-loop controls built for uptime and audit.

04

Scale

Roll out across sites and assets with governance, retraining, and measurable ROI.

Have a problem worth solving?

Tell us about your operation. We'll tell you where AI creates real, measurable value — and where it doesn't.

In their words

What our clients say

The first AI project we've run that made it into daily operations — and stayed there.
Operations Director
Pilbara iron-ore major
They understood our clinical governance from day one. That's rare.
Chief Medical Information Officer
Metropolitan health network
Line-speed inspection with zero escapes. It paid for itself in a quarter.
Plant Manager
Building-products manufacturer