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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+ industrial enterprises

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Preferred Machine learning consulting partner for manufacturers

A majority of industrial enterprises use smart instruments like sensors, meters, data loggers, etc., to get timely alerts & anomalies. Such notifications will 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. This is because they have a limited useful data set that too with hard-coded & disjointed business rules in the backend.

At Saviant, we partner with smart instruments and machine manufacturers to help them build custom machine learning solutions, with real-time data & dynamic algorithms. Our machine learning consulting & implementation frameworks help build simple AI-ML solutions that equip with their smart instruments, 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 customers’ real-time systems and provide the capabilities to make intelligent decisions.

Gain insights on machine anomalies or failures

on the fly through the 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, and your objective to build an ML solution. 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.

How Saviant helps smart machine manufacturers

Machine learning development services

Utilizing existing machine data effectively for predicting outcomes, behaviors, and trends is crucial. But the key remains with building, training, and deploying machine learning models quickly that help realize business objectives.

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Predictive Analytics consulting

Industrial enterprises are being flooded with ever increasing data from sensors, smart machines, and customers. Intelligent utilization of such data can help in machine monitoring, optimizing operations, and predicting failures.

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Data analytics consulting

To discover hidden patterns from structured/unstructured data demands powerful tools. Data engineers play a key role in creating a unified data platform and designing an analytics engine for real-time & historical data analysis.

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Awards & Industry Recognition

Saviant is one of the trusted machine learning consulting companies that builds robust enterprise-grade solutions. We offer machine learning services including ML development and predictive analytics consulting, for industrial clients. Our teams help them in process optimizations, predictive maintenance, and forecasting using expertise in data engineering and analytics on Cloud platforms.

Machine learning consulting firm

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Frequently Asked Questions

The majority of our successful implementations have come with customers in industries like Equipment Manufacturing, Renewable Energy, Power & Utilities, and Oil & Gas. These implementations have been across the US, Canada, UK, Australia, UAE, and APAC.

The biggest business benefits in these implementations have been where CXOs, VPs, and Directors – across Operations, Finance, and Technology. They have been directly involved in Roadmap creation & Execution planning.

Our engineering teams primarily operate from our offices in India, while the Consulting teams spend most of the time with customers in their local offices, be it in the US, Canada, UK, or Australia. All the Engineering team members are always travel-ready, and travel whenever required, especially during Requirements Analysis, User Workshops & final User Acceptance.

We love consulting and love observing problems in action. So, we all travel a lot and wherever possible, work with our customer teams, in their local offices.

We are a Business Consulting company, that takes up the downstream Technical Implementations to also be done by our in-house teams. Our customers are free to use their own IT teams for solution implementations post consulting phase. While our team focuses on Upstream Consulting activities, providing a detailed Solution Design, Approach, Roadmap & Project plan. Or, like in most cases, we work with their in-house IT teams to jointly implement these Greenfield solutions.

We are not a staffing company, and we don’t provide contract resources.

We only get paid when we deliver as per the agreed project milestones.

Our finance team never sends any invoice to our customers till the deliverables are reviewed & okayed as per the agreed milestones.

Any other questions not answered? Read more here