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Machine learning consulting services for smart machine manufacturers

Build custom ML solutions for predictive insights and health diagnostics of industrial equipment across Energy, Utilities, Healthcare, and Chemicals

Talk to our ML specialist

Trusted by 150+ customers worldwide

Why do smart machine manufacturers need custom ML solutions?

Majority of industrial enterprises use smart instruments like sensors, meters, data loggers, etc., to get timely alerts & anomalies, that help reduce unplanned downtimes, improve equipment lifespan, and increase process efficiency. However, the decision-making needed to run fault-free operations is still slow & reactive, since they have limited useful data set, that too with hard-coded & disjointed business rules in backend.

At Saviant, our industrial consulting and implementation frameworks help smart instruments and machines manufacturers to build custom machine learning solutions, with real-time data & dynamic algorithms. Their smart instruments are equipped with simple AI-ML solutions, to enable fault-free operations for their Enterprise clients across industries.

For example, their systems can now:

Generate more accurate alarms & timely alerts

across operations, to predict failure & downtime events with more than 90% accuracy.

Identify patterns & correlations

from operations & machines data, to enable faster anomaly detection & root-cause analysis.

Integrate predictive analytics solutions seamlessly

with customer’s real-time systems and provide them capabilities to make intelligent decisions.

Gain insights on machine anomalies or failures

on the fly through web or mobile apps and take corrective actions on-the-go.

One of the UK's largest
instruments engineering
companies implements machine learning to predict failures of industrial equipment

Read detailed case study

Why smart machine manufacturers choose Saviant for their machine learning roadmap

Enterprise-grade solutions

Enterprise-grade solutions

Building solutions that are technology ready for next decade, with optimized project costs & best practices
Quick go-to-market

Quick go-to-market

40% faster development using our industrial frameworks, technology expertise, and ready-to-use IPs
100% solution success rate

100% solution success rate

Successfully delivered 300+ solutions across manufacturing, energy, and industrial engineering enterprises

How we work with you – our approach

As a trusted machine learning consulting company, we build ML solutions to realize your goals using a holistic approach, which includes:

1. Assessment or RA
of your data

Assessing what’s the data you are capturing, existing data sources, your objective to build a ML solution, and determining what additional data is needed to create the use case.

2. Building machine learning models

Extracting, transforming, and labeling the required data. Shortlisting candidate ML models to build, test & evaluate them for feature engineering and hyper-parameter tuning.

3. Ongoing iterations and maintenance

Analyzing the results post-processing and comparing models’ behavior & hypothesis. Deploying Model as a Service and continually monitoring/retrain it to stay relevant and accurate.

4. Integration with the
rest of the system

Integrating the solution seamlessly with the existing system after the successful PoC implementation. Running it to check if the desired output has been achieved.

Awards & Industry Recognition

Saviant is one of the trusted machine learning consulting companies that builds robust enterprise-grade solutions, for predictive maintenance, process optimizations, and forecasting; using expertise in data engineering and analytics on Cloud platforms.

Machine learning consulting firm

Looking to build custom machine learning solutions?

Talk to our ML specialist