Machine Learning Consulting Services
for smart machine manufacturers

Building custom ML solutions for predictive insights and health diagnostics of industrial equipment.
Working with medium-sized businesses across instruments engineering & machine manufacturing.

Talk to our ML specialist

Trusted by 150+ industrial enterprises across US, Canada, UK, Australia & Germany

Machinery Manufacturing industry

Guillermo Martos
Group IT Project Manager

"Users can now control devices through their mobile apps. An agile team, Saviant Consulting remained flexible and communicative throughout the engagement."

Manufacturing industry

Mark Shamley
VP of Operations

"They're honest and very diligent. They work hard to understand our business process so they can help us. I can trust them to do their best and get a successful outcome."

Why do smart machine manufacturers build custom ML solutions?

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 and 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 and 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

The company reduces machine downtime through robust ML solution. It enables industrial systems and equipment to be more intelligent about their failures, availability & operating efficiency.

Read detailed case study

What we do - our service offerings

As machine manufacturers try to address industry challenges amid dynamic market conditions and latest technology trends, we help them accelerate their product development life cycle operations to build a resilient core, thereby speeding up time-to-market. Apart from helping in new product development initiatives, our teams also assist them in product migration and re-engineering their products to meet dynamic market conditions in terms of features, cost, and performance.

Product engineering & development

Starting from the innovation phase to product deployment and testing phase, we help you in complete product lifecycle. Whether it is cloud & mobility enablement, or adding intelligence to your existing products, our teams deliver all you need.

Product re-engineering

Scale-up your existing products to ensure tech readiness for the next 10 years. We help in re-architecting, re-factoring, or re-platforming existing technology stack and architecture, while enhancing/maintaining the present capabilities of your products, for scalability, security, and performance.

Continuous integration and deployment

We build DevOps strategies and CI/CD pipelines for new product development, deployment, and its continuous updates; through consulting, end-to-end implementation & infrastructure monitoring using DevOps tools like Maven, or Jira.

Product migration – Cloud, On-premises & mobile

Whether it is migrating your existing products to cloud, creating a hybrid structure, or extending your web-based products to mobile, our teams can help you.

Product testing & validation

We test and operate various products in a reliable way. Our teams leverage technology advancements for delivering quality-centric validation & verification services, to ensure your products make lasting impression.

Data platform & analytics

Extend your product capabilities with a combination of data analytics, ML-AI, and data mining, to deliver advanced products. Accelerate your product time-to-market using our proven industrial frameworks.

Learn more. Talk to our specialist

Why smart machine manufacturers choose Saviant for
their machine learning roadmap

Enterprise-grade solutions

Building solutions that are technology ready for next decade, with optimized project costs & best practices

Quick go-to-market

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

99% solution success rate

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

Technologies & platforms we use

Using a comprehensive suite of programming languages, frameworks, libraries, and Cloud & Data platforms, we build custom ML software or solutions that are tech ready for the next 10 years. Our expert teams hold certifications across Microsoft and AWS platforms for ML services and bring forth advanced knowledge & skills to design solutions; optimizing performance, security, cost, and automating processes, ensuring quality and compliance (including ISO 27001 standards).

Expertise in R, Keras, Learn, Tensor flow, Hadoop, Spark, Cassandra

How we work with you – our approach

As a trusted ML company, our data scientists, ML consultants, and predictive analytics experts build 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.

Awards & Industry
Recognition

Saviant is one of the trusted ML consulting companies that builds robust enterprise-grade solutions. We offer machine learning consulting services including ML development, NLP and predictive analytics consulting, for industrial clients. Read here how our Machine Learning development services help manufacturing leaders build custom ML solutions quickly.

Looking to partner with a reliable machine learning consulting firm?

Frequently Asked Questions

How do you ensure the accuracy and reliability of machine learning models in production environments?

Our Machine learning and predictive analytics consulting teams employ rigorous validation techniques, including cross-validation and real-world testing, to evaluate model performance. Post-deployment, we implement continuous monitoring and automatic retraining frameworks to maintain accuracy over time, adjusting for concept drift and changing data patterns.

How do you approach the challenge of limited or incomplete data sets?

Our ML and predcitive analytics consulting experts utilize data augmentation, transfer learning, and synthetic data generation to overcome limitations in data quantity and quality. These techniques allow us to build robust models even when data is scarce or incomplete.

How do you handle scalability issues as data volume and model complexity increase?

We design systems with scalability in mind, utilizing cloud computing resources and distributed processing frameworks when necessary. Our solutions are built to dynamically adjust resource allocation based on processing needs, ensuring efficiency and performance at scale.

What strategies do you employ to reduce the time-to-market for machine learning-integrated products?

Our ML consulting team leverages agile development practices, pre-trained models, and automated machine learning (AutoML) tools to accelerate the development cycle. Our focus on modular design and reusable components also enables quicker iteration and deployment.

How secure is it to work with your teams in India, while customers are in the US, UK, Aus?

Every year, we certify our teams and processes for various global Compliances and Competencies – to provide secure, and highest-quality solutions to our customers across the US, Canada, UK, Aus, UAE and APAC.

As a trusted machine learning development services company, our processes are ISO 27001 compliant, as well as Certified by Microsoft/AWS/Data-Partner teams for delivering various solutions under Cloud, Data, BI, Mobile, AI & ML. All our offices and assets used by our team members are compliant as per Cloud Security protocols, ISO requirements, as well as GDPR security guidelines.

We are a duly registered & accredited Consulting company, under Indian Companies Act.

Can I stop my project at any time, without any penalties? Any lock-ins in your contract?

You can stop or cancel your projects at anytime, without any penalties. (Although, over the last 6-years, no customer has stopped/canceled any project) We do not bind our customers into lengthy lock-in contracts.

Moreover, our usual working model is that till we don’t deliver as per the agreed project milestones, we don’t even send you the invoice.

Any other questions not answered? Read more here

Machine Learning Consulting Services
for smart machine manufacturers

Why do smart machine manufacturers build custom ML solutions?