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 S3 | Cloud Storage | 2021 |
In 2021, Max Healthcare Institute implemented Amazon S3 as the Cloud Storage anchor for a serverless document processing architecture to address high-volume supplier document intake across its 16 healthcare facilities and associated businesses. The deployment targeted back-office and accounts payable workflows that had engaged 29 resources for manual data entry, and it was scoped to support supplier invoicing processes that feed downstream payment systems across NCR Delhi, Haryana, Punjab, Uttarakhand, and Maharashtra.
The implementation centered on an orchestrated, serverless pipeline using Amazon S3 for ingestion, AWS Step Functions for per-document orchestration, AWS Lambda for compute, Amazon Textract for OCR extraction, and Amazon A2I for human review. Pre-processing image cleaning routines were applied to improve readability, Textract extracted both form and raw data for post-processing, and post-processing logic validated mandatory fields to raise extraction confidence before records moved downstream.
MothersonSumi INfotech & Designs Limited (MIND) led the implementation and used its APN collaboration on Amazon Textract to configure the solution. Ingestion is scheduler driven, scanned documents are placed into an Amazon S3 bucket which triggers the Step Functions workflow, and extracted data is persisted into Amazon DynamoDB. Processed records are periodically extracted from DynamoDB for ERP integration to enable on-time supplier payments, and Amazon CloudWatch is used for operational monitoring and observability.
Governance was implemented as a confidence based workflow, routing low confidence extractions into an augmented human loop via Amazon A2I for manual verification, while higher confidence items proceed automatically into the downstream system. The solution standardized template identification and data validation rules to reduce undifferentiated operational activity, and the serverless architecture minimized infrastructure management overhead during rollout.
The Amazon S3 centered Cloud Storage implementation delivered the required extraction accuracy with reduced operational overhead and faster time to production as reported by Max Healthcare, enabling more reliable supplier document handling and integration into accounts payable processes.
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Max Healthcare Institute | Healthcare | 15000 | $548M | India | Amazon Web Services (AWS) | Amazon CloudWatch RUM | Application Performance Management | 2021 |
In 2021 Max Healthcare Institute implemented Amazon CloudWatch RUM as part of its Application Performance Management approach to gain runtime visibility into an AWS serverless document processing pipeline. The deployment aligned with an automation initiative focused on supplier document ingestion and accounts payable operations that previously required a 29 person back-office and accounts payable workforce across Max Healthcare facilities and affiliated services such as Max@Home and Max Labs.
Amazon CloudWatch RUM was instrumented alongside a serverless OCR solution built and delivered by MothersonSumi Infotech & Designs Limited, MIND, which leveraged Amazon Textract for extraction. Amazon CloudWatch RUM was used to capture real user monitoring signals and frontend performance telemetry, while the document processing stack implemented standard Application Performance Management capabilities including traceability of invocation flows, error capture, and latency observation tied to backend functions. The case restates Amazon CloudWatch RUM as the monitoring plane used to observe end user and orchestration behavior for the document workflow.
The implementation integrated Amazon CloudWatch RUM with AWS services already deployed for the OCR pipeline, specifically AWS Lambda, AWS Step Functions, Amazon API Gateway, Amazon S3, Amazon DynamoDB, Amazon Textract, and Amazon A2I. Operational coverage targeted supplier document ingestion, pre processing, extraction and validation steps, and the downstream entry of processed data into DynamoDB for ERP extraction. The deployment scope encompassed accounts payable and back-office processing across Max Healthcare s 16 facilities in India and the related centralized document intake processes.
Governance and orchestration followed a scheduler driven ingestion, S3 event triggers and Step Functions orchestration, with image pre processing, Textract extraction producing form and raw outputs, post processing validation, augmented human review via A2I, and persistence into DynamoDB. MIND s solution delivered the required level of accuracy with minimal operational overhead and faster time to production, and Amazon CloudWatch RUM provided continuous application performance monitoring to support incident triage and ongoing operational governance.
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Healthcare | 15000 | $548M | India | Amazon Web Services (AWS) | Amazon Lambda | Apps Development | 2021 |
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Healthcare | 15000 | $548M | India | Amazon Web Services (AWS) | Amazon Textract | Intelligent Document Processing | 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, ITSM, PaaS and Content Management.
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 S3, and Max Healthcare Institute where MothersonSumi INfotech & Designs Limited (MIND) implemented Amazon CloudWatch RUM.
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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