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Sandman
A SaaS solution for optimising Green Sand Process Control with advanced data science and powerful analytics
Data Analytics
Leveraging proven methodologies to provide you insights and analysis to make strategic business decision.
Software Development
A competent team of engineers bringing you expert software consulting and IT solutions for a variety of industries.

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Strategic Industry Solutions & Thought Leadership

MPM Infosoft is a pioneer in the design and development of cutting edge data analytics software and analytical tools and services for reducing wastage thereby improving productivity and improving environmental performance in the field of castings related to molding sand practice.

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Our Vision

SANDMAN is a culmination of Deepak Chowdhary’s vision to spotlight data and its pivotal importance in foundries and extend its application across sectors. The impact of just visualising data in an actionable methodology, now available as Machine Learning, Virtual Ai and Ai with extremely powerful cloud computing prowess, is transformative. The foundry industry is ready and mature for leveraging its rich data into profits. This is only possible with SANDMAN technology which is infused with 40+ years of foundry domain experience.

Our Mission

To bring awareness and the power of data analytics to the foundry sector. To make SANDMAN a minimum functional and process control and audit requirement for every foundry, as essential as is the molding line itself or the simulation software for design of casting methoding. This transformation of the next frontier of processes control is inevitable. the future foundry will not be able to do without embracing and on boarding this technology. Foundry 4.0 will rely on this level of technology and beyond to take the leading edge in the world of metal. SANDMAN will be among the foremost and at the forefront of this movement and transformation.

Meet our CEO

Data analytics is transforming the way the world is looking at their data legacies and mining their digital as well as their experiential data, to reclaim lost profits as well as to be able to predict future events, to avoid mistakes of the past and build and innovate based on their invaluable data legacy. There is a transformation on data ownership happening worldwide, which will fuel innovation in the future. MPM INFOSOFT, which has a Team Erudite and highly competent data scientists, would like to develop products that will be a part of this exciting future. In context, we wish to focus on the domain of data analytics software development for companies that would like to use our domain competence.

Deepak Chowdhary

Our Products

SANDMAN^®

SANDMAN^® is a revolutionary software solution designed for foundries to optimize green sand process control.

DigiSmart

DigiSmart is a comprehensive digitalization platform tailored for manufacturing units across various industries, including foundries.

VComp-SP^®

VComp-SP^® (Variable Compactability Auto-Adjust IIoT-Based Algorithm) is an advanced software solution for controlling compactability in molding processes.

INODOSE^®

It is Built on a principle of volumetric dosing by air-fluidisation technology which delivers precise inoculation with monitoring in grams/second , this fully automatic system offers unparalleled precision. With INODOSE®, foundry operators can achieve consistent and reliable results in their casting processes.

Complete Cases

SANDMAN^®

Before SANDMAN^®, one of our foundry clients, with a production capacity of approximately 26,000 tonnes yearly, experienced sand defects rejections of 4.68%. They are experts in producing iron castings, mostly nodular iron. Their average bunch weight and sand to metal ratio are 83kg and 9.03 respectively. Additionally, their average core weight is 2.4kg. The detailed segregation of the types of defects is mentioned in the

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VComp-SP^®

The VComp case study was carried out at a renowned casting manufacturer in Northern India, having manufacturing capacity of 25,000 tons/annum. The bunch weight exhibited variations ranging from 15 to 34 kg, while the sand-to-metal ratio spanned from 4 to 10. Additionally, the average weight of the cores used in the casting process was measured at 0.4 kg, with a wide variation from 0 to 1.77 kg.

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Our Blog and Technical Archives

Temperatures are Rising - Is Your Casting Throwing a Tantrum

Thought leader and expert in Foundry Green Sand Molding, Related Data Analytics, Entrepreneur, Inventor of "SANDMAN^®" for helping foundries optimise sand control and reduce casting rejections. As temperatures rise across the Indian Sub-Continent (and elsewhere in the world) the green sand molding process in foundries undergoes subtle changes. The surface…

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Taking reactive decision making (realm of 'art' of experience) to the proactive ( realm of 'science') science of data analytics driven decision support

Sherlock Holmes (courtesy from the BBC fictional series SHERLOCK http://www.thescienceofdeduction.co.uk/) states: “This is what I do: 1. I observe everything. 2. From what I observe, I deduce everything. 3. When I've eliminated the impossible, whatever remains, no matter how mad it might seem, must be the truth.” Data modelling also

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What is the REAL Cost of Casting Rejections?

Reclaiming Lost profits of Casting Rejections - leveraging the power of data analytics By a back-of-the-envelope calculation, the cost of a 1% green sand rejection in an entry-level 24,000 ton per annum foundry could approximately range from: INR 12 million (US$ 175,000) to INR 15 Million (US$ 220,000) per annum.…

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Testimonials

VComp-SP” - Variable Compactibility Set Point.
K. Saravanan
Managing Director & C.E.O.
Mr.A Chandrasekaran
Managing Director
“We at Nelcast have implemented SANDMAN at our Ponneri plant for the last year and are pleased with the results. Following SANDMAN predictions we have seen a reduction in rejection percentage due to sand related defects and feel confident that we can further maintain and even further reduce these levels.
The recent SandMix Analytics upgrade in SANDMAN now also gives our team a clear guidance on the amount of additives needed to achieve the target optimal values of SANDMAN algorithms. As a consequence of these prescriptions, we have also seen good reduction in the consumption of additives which has resulted in additional cost savings.
Please keep up this pioneering entrepreneurial development of this first-of-its kind predictive data analytics based software for foundry molding process optimisation and related reduction in casting rejections.
P. Deepak
Managing Director
You may use this case as an example to show our Foundry Fraternity and let them also get benefitted with Sandman, so that we can avoid national loss by reducing casting defects due to Sand.
Sambhaji Pawar
We have been using Sandman in our foundry since July, 2015 as a data analytic driven decision support system as it is very rightly described. We have seen transformation of the way the foundry now looks at data for profits and it is also helping us to steadily move from the reactive decision making state on green sand control to pro-active and predictive state of sand management. We have also seen collateral reduction in rejections.
Please continue the development of Sandman.
V.K. Singh
AVP Operations
VComp-SP” - Variable Compactibility Set Point.
K. Saravanan
Managing Director & C.E.O.
Mr.A Chandrasekaran
Managing Director
“We at Nelcast have implemented SANDMAN at our Ponneri plant for the last year and are pleased with the results. Following SANDMAN predictions we have seen a reduction in rejection percentage due to sand related defects and feel confident that we can further maintain and even further reduce these levels.
The recent SandMix Analytics upgrade in SANDMAN now also gives our team a clear guidance on the amount of additives needed to achieve the target optimal values of SANDMAN algorithms. As a consequence of these prescriptions, we have also seen good reduction in the consumption of additives which has resulted in additional cost savings.
Please keep up this pioneering entrepreneurial development of this first-of-its kind predictive data analytics based software for foundry molding process optimisation and related reduction in casting rejections.
P. Deepak
Managing Director
You may use this case as an example to show our Foundry Fraternity and let them also get benefitted with Sandman, so that we can avoid national loss by reducing casting defects due to Sand.
Sambhaji Pawar
We have been using Sandman in our foundry since July, 2015 as a data analytic driven decision support system as it is very rightly described. We have seen transformation of the way the foundry now looks at data for profits and it is also helping us to steadily move from the reactive decision making state on green sand control to pro-active and predictive state of sand management. We have also seen collateral reduction in rejections.
Please continue the development of Sandman.
V.K. Singh
AVP Operations
VComp-SP” - Variable Compactibility Set Point.
K. Saravanan
Managing Director & C.E.O.
Mr.A Chandrasekaran
Managing Director
“We at Nelcast have implemented SANDMAN at our Ponneri plant for the last year and are pleased with the results. Following SANDMAN predictions we have seen a reduction in rejection percentage due to sand related defects and feel confident that we can further maintain and even further reduce these levels.
The recent SandMix Analytics upgrade in SANDMAN now also gives our team a clear guidance on the amount of additives needed to achieve the target optimal values of SANDMAN algorithms. As a consequence of these prescriptions, we have also seen good reduction in the consumption of additives which has resulted in additional cost savings.
Please keep up this pioneering entrepreneurial development of this first-of-its kind predictive data analytics based software for foundry molding process optimisation and related reduction in casting rejections.
P. Deepak
Managing Director
You may use this case as an example to show our Foundry Fraternity and let them also get benefitted with Sandman, so that we can avoid national loss by reducing casting defects due to Sand.
Sambhaji Pawar
We have been using Sandman in our foundry since July, 2015 as a data analytic driven decision support system as it is very rightly described. We have seen transformation of the way the foundry now looks at data for profits and it is also helping us to steadily move from the reactive decision making state on green sand control to pro-active and predictive state of sand management. We have also seen collateral reduction in rejections.
Please continue the development of Sandman.
V.K. Singh
AVP Operations

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Sandman

Data Analytics

Software Development

Strategic Industry Solutions & Thought Leadership

Our Vision

Our Mission

Meet our CEO

Deepak Chowdhary

Our Products

SANDMAN®

DigiSmart

VComp-SP®

INODOSE®

Complete Cases

SANDMAN®

VComp-SP®

Our Blog and Technical Archives

Temperatures are Rising - Is Your Casting Throwing a Tantrum

Taking reactive decision making (realm of 'art' of experience) to the proactive ( realm of 'science') science of data analytics driven decision support

What is the REAL Cost of Casting Rejections?

Testimonials

K. Saravanan

Managing Director & C.E.O.

SANDMAN^®

VComp-SP^®

INODOSE^®

SANDMAN^®

VComp-SP^®