Digital Twins consulting services
for smart machine manufacturers

Design and build digital twins solutions to create virtual assets for remote monitoring,
predictive analytics & simulations, enabling you to offer new services on top of the 'smart machines'.

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Create new value from your machine & equipment data

If you’re in the business of providing smart machines and smart systems to industrial enterprises, most likely:

Your customers are already expecting you to provide more value through better insights, backed by sound data – to continue to partner with you
Your investors are already expecting your balance sheet to show "digital assets", rather than physical assets, to increase company’s long-term value

In both the cases, your business would need its own "digital-twin strategy" to ensure your core value provided to clients is driven by data-intelligence, and that your company is capable of pivoting its business model to easily develop new services in future, without relying on just physical-assets that have short-lifespans. At Saviant, our industrial consulting & implementation framework helps Instruments Engineering/ Machine Manufacturers leverage digital twin technology to unlock multitude of opportunities.

Digital twins maturity lifecycle

Broadly, there are three different levels of complexities where digital twins will enable your customers & your business

Level 1

Basic Asset
monitoring

At this level, you create digital representations of real-world
entities and processes, and collect useful data to help provide
deeper insights.

Level 2

What-if
simulation

Here companies start to experiment with asset & process configurations in various scenarios to find optimizations that are complex to find by monitoring the physical environment alone.

Level 3

Intelligence-as-a-service drivers

At this stage, you combine data-driven modeling approaches with physics-based approaches to create accurate predictions and explore causality and failure modes using physics.

How we work with you

Our digital twins development & implementation teams follow four distinct stages to get you to your goals within 3-5 weeks:

1. Assessment and road-mapping

Assess what data is available, what’s missing to form your business case, timeline & return-on-investment decisions

2. Modeling the
Digital Twin

Leverage real data from assets to create a virtual one

3. Building robust
applications

Monitoring, Training, Simulations etc. and expand the twin’s effectiveness with new services & data streams

4. Ongoing iterations & improvements

in the data acquisition, data models, ML algorithms/Artificial intelligence, to derive better value for business and customers

Digital Twins consulting services
for smart machine manufacturers

Create new value from your machine & equipment data