Dataranya Solutions Pvt Ltd
Non-invasive. Remote. Real-time
Overview
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HQ Location
India
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Year Founded
2022
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Company Type
Private
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Revenue
< $10m
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Employees
< 10
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Website
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Company Description
An Industrial IoT startup providing customised solutions to solve clients' operations problems impacting their top- and bottom-lines.
IoT Solutions
We provide hardware & software solutions for factories to monitor their day-to-day operations in real-time remotely, get insights on production trends and identify opportunities for continuous improvement.
Internationally certified hardware (CE, CSA, UL).
Software suite with secure cloud-servers handling real-time data with > 99.5% uptime.
IoT Snapshot
Dataranya Solutions Pvt Ltd is a provider of Industrial IoT data science services, hardware design and engineering services, software design and engineering services, and system integration services, and also active in the automotive, cement, chemicals, equipment and machinery, food and beverage, metals, paper and pulp, and plastics industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
Dataranya Solutions Pvt Ltd’s Technology Stack maps Dataranya Solutions Pvt Ltd’s participation in the IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Digitalising QC records
Ready-mix concrete batching plant with seasonal demand 6,000 to 12,000 cu.metre per month.Batch-cycle records for each truck is stored in paper format. 1000 to 2000 truck loads per month, generating ~2000 to 6000 paper records.QC anomaly detection in chemical batch-mixing is manual & time consuming.
Case Study
Automotive manufacturer increases production throughput
An automotive components manufacturer was facing lower productivity from a relatively new automated assembly line - production 43% lower than installed capacity; new plant, 3 years old. Plant runs 24 hours, 6.5 days a week.Management is budgeting a 2nd assembly line driven by demand, but wants current productivity issues resolved.
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