MothersonSumi INfotech & Designs Limited (MIND)
C-26, Sector 62 Rd, C Block, Phase 2, Industrial Area, Sector 62,
Noida, 201309,
India
Noida, 201309,
India
91 120-436-5555
Professional Services
MothersonSumi INfotech & Designs Limited (MIND)
List of Software Implementations where MothersonSumi INfotech & Designs Limited (MIND) is Reseller or System Integrator
MothersonSumi INfotech & Designs Limited (MIND), a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. MothersonSumi INfotech & Designs Limited (MIND) collaboration with software players such as Amazon Web Services (AWS) empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
MothersonSumi INfotech & Designs Limited (MIND) is a Reseller or SI for the following software solutions:
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| MothersonSumi INfotech & Designs Limited (MIND) | Amazon Web Services (AWS) | Amazon CloudWatch RUM | Application Performance Management | ITSM |
| MothersonSumi INfotech & Designs Limited (MIND) | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | IaaS |
| MothersonSumi INfotech & Designs Limited (MIND) | Amazon Web Services (AWS) | Amazon Lambda | Apps Development | PaaS |
| MothersonSumi INfotech & Designs Limited (MIND) | Amazon Web Services (AWS) | Amazon S3 | Cloud Storage | IaaS |
| MothersonSumi INfotech & Designs Limited (MIND) | Amazon Web Services (AWS) | Amazon Textract | Intelligent Document Processing | Content Management |
List of Software Implementations where MothersonSumi INfotech & Designs Limited (MIND) is a Reseller or SI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
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Max Healthcare Institute | Healthcare | 15000 | $548M | India | Amazon Web Services (AWS) | Amazon DynamoDB | Database Management | 2021 |
In 2021, Max Healthcare Institute implemented Amazon DynamoDB as a central data store within a serverless document processing pipeline to automate supplier invoice ingestion and extraction. MothersonSumi INfotech & Designs Limited, MIND, partnered on the engagement, addressing challenges including multiple invoice templates and high licensing costs that had previously driven a 29 person back office and accounts payable effort across Max Healthcare’s 16 facilities and related Max@Home and Max Labs operations.
The implementation used a serverless architecture built on Amazon S3, AWS Lambda, AWS Step Functions, Amazon Textract, Amazon A2I, Amazon API Gateway, and Amazon CloudWatch, with Amazon DynamoDB providing the Database Management backbone for extracted document data. The pipeline includes a daily scheduler to ingest scanned documents into S3, Step Functions orchestration per document, image pre processing to improve readability, Textract based form and raw data extraction, post processing for template based field validation, and an augmented human review loop via Amazon A2I for low confidence items.
Operational integration centered on feeding validated supplier and invoice data into Amazon DynamoDB, from where records are periodically extracted for entry into downstream ERP and payment systems. The scope of the deployment covered back office and accounts payable business functions across the hospital network, with document ingestion, extraction, validation, human review, and downstream reconciliation articulated as discrete functional workflows.
Governance and runbook controls were implemented through Step Functions orchestration and CloudWatch monitoring, with MIND leveraging its APN relationship for Amazon Textract to accelerate production readiness. The project delivered the stated outcome of achieving the required level of extraction accuracy with minimal operational overhead and faster time to production while centralizing extracted document state in Amazon DynamoDB for Database Management and downstream financial processing.
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Max Healthcare Institute | Healthcare | 15000 | $548M | India | Amazon Web Services (AWS) | Amazon Lambda | Apps Development | 2021 |
In 2021, Max Healthcare Institute implemented Amazon Lambda as the compute backbone of an Apps Development solution to automate supplier document OCR and downstream data flows for back-office accounts payable. The program targeted a high-volume intake environment where a 29-person team previously processed thousands of scanned supplier documents monthly across Max Healthcare’s 16 facilities in NCR Delhi, Haryana, Punjab, Uttarakhand, and Maharashtra. The initiative is scoped to supplier invoice and document handling that feeds on-time supplier payments and downstream ERP processing.
The deployment is architected as a serverless pipeline centered on AWS Lambda functions orchestrated by AWS Step Functions, with Amazon S3 used for ingestion and Amazon Textract used for document extraction. Pre-processing image cleaning routines are executed before Textract runs, both form and raw extraction outputs are captured, and post-processing logic validates and normalizes extracted fields. Amazon Lambda hosts the processing logic and triggers, Amazon API Gateway exposes any programmatic endpoints, and Amazon CloudWatch provides observability and operational logging.
Human review is integrated through Amazon A2I to surface low confidence extractions into an augmented human loop, while validated outputs are persisted into Amazon DynamoDB. Documents uploaded to S3 trigger step function workflows that apply confidence-based routing, where high confidence data is propagated to downstream systems and lower confidence items enter the A2I review flow. The processed data is stored in DynamoDB and extracted periodically for ERP integration and downstream accounting consumption.
Implementation and delivery were executed in partnership with MothersonSumi Infotech & Designs Limited MIND, leveraging MIND’s APN incubation engagement with Amazon Textract to accelerate time to production. The serverless design reduced operational overhead by minimizing infrastructure management and allowed a faster rollout cadence. The solution provided the required level of accuracy, reduced operational overhead, and achieved faster time to production as reported by the project stakeholders.
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Max Healthcare Institute | Healthcare | 15000 | $548M | India | Amazon Web Services (AWS) | Amazon Textract | Intelligent Document Processing | 2021 |
In 2021, Max Healthcare Institute deployed Amazon Textract as its Intelligent Document Processing solution to automate supplier document intake and extraction. MothersonSumi Infotech & Designs Limited (MIND) led the implementation on Amazon Web Services using a serverless architecture to address high volume, multi-template supplier invoices and reduce manual activity in Accounts Payable and back-office operations across Max Healthcare’s 16 facilities and affiliated businesses.
The implementation architecture centers on event-driven, serverless components. Scanned supplier documents are ingested via a scheduler and uploaded to Amazon S3, which triggers AWS Step Functions to orchestrate per-document processing. Pre-processing uses an image processing library to clean and improve readability, Amazon Textract performs both form and raw data extraction, and post-processing applies template-based validation to surface mandatory fields with high confidence. The solution integrates Amazon A2I for an augmented human loop that routes low confidence extracts for manual review and correction.
Operational integration channels extracted data into Amazon DynamoDB as the system of record for processed supplier information, from where data is periodically extracted into the downstream ERP for supplier payments. The deployment leverages Amazon API Gateway, AWS Lambda, Amazon CloudWatch for observability, and AWS Step Functions for workflow orchestration, aligning functional capabilities with Accounts Payable, back-office processing, and supplier invoice lifecycle management across Max’s hospitals, Max@Home, and Max Labs businesses.
MIND evaluated a machine learning based approach and used the Amazon Textract incubation initiative to accelerate time to production, delivering the required level of extraction accuracy with minimal operational overhead. The architecture preserves human review for exceptions via Amazon A2I and centralizes governance through DynamoDB and Step Functions to standardize workflows and validation rules for ongoing Intelligent Document Processing.
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Healthcare | 15000 | $548M | India | Amazon Web Services (AWS) | Amazon S3 | Cloud Storage | 2021 |
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Healthcare | 15000 | $548M | India | Amazon Web Services (AWS) | Amazon CloudWatch RUM | Application Performance Management | 2021 |
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IT Decision Makers and Key Stakeholders at MothersonSumi INfotech & Designs Limited (MIND)
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Buyer Intent: Companies Evaluating MothersonSumi INfotech & Designs Limited (MIND) Services
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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MothersonSumi INfotech & Designs Limited (MIND) System Integrator / VAR Profile
MothersonSumi INfotech & Designs Limited (MIND) is a system integrator and technology consulting firm headquartered in Noida, India, with approximately 1400 employees and annual revenues of $10.5B.
MothersonSumi INfotech & Designs Limited (MIND) implements and supports enterprise applications across markets such as IaaS, PaaS, Content Management and ITSM.
APPS RUN THE WORLD tracks 5 verified MothersonSumi INfotech & Designs Limited (MIND) software implementations across industries and regions, including: Max Healthcare Institute where MothersonSumi INfotech & Designs Limited (MIND) implemented Amazon DynamoDB, Max Healthcare Institute where MothersonSumi INfotech & Designs Limited (MIND) implemented Amazon Lambda, and Max Healthcare Institute where MothersonSumi INfotech & Designs Limited (MIND) implemented Amazon Textract.
MothersonSumi INfotech & Designs Limited (MIND) has a strategic VAR/SI partnership with Amazon Web Services (AWS), backed by verified deployments.
Independent Software Vendors (ISVs) can boost their ecosystem by identifying existing MothersonSumi INfotech & Designs Limited (MIND) partnerships, building strong channel relationships, and forging strategic implementation alliances to expand customer reach and accelerate adoption.
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