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Trusted Machine learning development company for smart machine manufacturers

Develop custom ML software and applications for predictive insights & health diagnostics. Work with award-winning machine learning development team.

Talk to our ML specialist

Trusted by 150+ industrial enterprises

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Why do smart machine manufacturers need custom ML applications?

Machine manufacturers continually evolve the design for better value, more efficiency for industrial enterprises. Data, and moreover ways like machine learning to leverage such data, is now one of the most important elements in this evolution. Whether it is identifying patterns, co-relations, or causations in data, predicting failures or defects, generating forecasts, or optimizing process for efficient operations, machine learning plays an important role in generating outcomes from such data.

At Saviant, our machine learning consulting teams help smart devices manufacturers to build custom ML solutions, with real-time data and ML algorithms. We help them equip their smart devices with ML-AI solutions, for running continued operations for their enterprise clients across various industries.

For example, their systems with ML-enabled capabilities can now:

Predict outcomes and failures accurately

by identifying patterns, co-relations in parameter data and continuous machine monitoring.

Get remaining useful machine life

monitor equipment health to reduce downtimes, manage spares, and better maintenance.

Reduce defects with optimized processes

created by co-relating cause & effect and minimizing faults by controlling key parameters.

Plan better with improved forecasts

of demand, pricing, consumption and more such variables that are critical to your business.

UK’s leading instruments engineering
Company builds machine learning solution for predicting failures of industrial equipment

Read detailed case study

Why smart machine manufacturers choose Saviant for their machine learning roadmap

100% solution success rate

100% solution success rate

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

Simple Pricing

Fixed price structure with a clear, well-defined Scope of Work (SoW) and milestone payments

40% faster development

12 weeks to MVP using accelerator based approach, ready-to-use IPs, and frameworks

How we work with you – our approach

As a trusted Machine learning app development company, our teams follow a particular approach to build ML solutions and help achieve your goals, which includes:

1. Requirement Analysis or
assessment

Assessing what’s your existing data sources. Understanding what’s the data you are capturing, your objective to create an ML solution, and finding what additional data is needed for the use case.

2. Creating machine learning models

Extracting, converting, and labeling the needed data. Shortlisting ML models to create, test & evaluate them for hyper-parameter tuning and feature engineering.

3. Ongoing iterations as well as maintenance

Analyzing the outcomes post-processing. Comparing the behavior of models & hypothesis. Implementing Model-as-a-Service and continually monitoring it for accuracy and relevancy.

4. Integration with your rest of the system

Integrating the solution with the existing system after implementing the PoC successfully. Running it to check if the anticipated output has been achieved.

Awards & Industry Recognition

Saviant is one of the trusted machine learning development firms that builds robust enterprise-grade solutions, for predictive maintenance, process optimizations, and forecasting. We use the expertise in data engineering and analytics on Cloud platforms to create such Machine learning solutions.

Machine learning consulting firm

Looking to build custom machine learning solutions?

Talk to our ML specialist

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 US, Canada, UK or Australia. All the Engineering team members are always travel-ready and travel whenever required, especially during Requirements Analysis, User Workshops and 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