Quality Engineering Services for Performance, Reliability, and Compliance
Embedding quality engineering at every stage through automated testing, compliance-ready validation, and scalable performance assurance
Why MosChip for Quality Engineering Services?
End-to-End Product Quality Coverage
Compliance-Ready & Certification-Focused QA
Hardware-Centric and Embedded Quality Engineering
Automation-led DevOps, MLOps, and scalable test infrastructure
Deep embedded, sensor, and connectivity validation expertise
What We Deliver?
Multimedia, audio/video testing, Embedded system & integration testing, Test tool development, Network interface card validation, Software toolchain validation
Evaluating Machine Learning (ML) and Agentic AI solutions using standardized metrics and evaluation libraries. Dataset preparation, performance testing, toxicity check, security testing. Model evaluation & benchmarking pipeline setup, metrics and experiment tracking. Embedded NN testing and CNN compiler validation, ML library integration testing
Performance & functional testing, Sensor integration & interoperability, Peripheral & connectivity testing, App and edge testing for connected devices
ISO 26262 (FuSa), MISRA-C, OpenVX and vision stack conformance, Framework/tools assessment, Feasibility analysis and test lab setup advisory
CI/CD integration and test execution, ClousOps, DevSecOps, MLOps, EdgeOps, Device-to-cloud automation, Test automation frameworks, Quality Assuarance farm setups and scripted regression flows
Key Technologies
Automation Frameworks
Pytest
MosChip PTAF
Robot Framework
Test Management
Test Rail
TestLink
JIRA- Xray
Rational Quality Manager
Performance/Load Testing
Apache JMeter
MonkeyTalk
LOCUST
Version Control
GitLab
Tortoise SVN
Perforce
GitHub
Bitbucket
Networking
Wireshark
SNIFFER
NRF
Built for Intelligent, Scalable Quality Automation
MosChip’s Product Test Automation Framework (PTAF) is a Python/PyTest-based, end-to-end automation framework designed to validate embedded systems, connected devices, applications, and edge-to-cloud workflows at scale.
Unified
automation
Across embedded firmware, mobile, web, APIs, and IoT systems
Hardware-aware
testing
With support for serial interfaces, GPIOs, relays, and sensors etc.
Protocol
validation
BLE, Wi-Fi, Matter-based devices and others
Modular, reusable
framework
With scalable parallel execution and automated reporting
10+
Automation Bots
Supporting RPA, regression, test automation, and provisioning
Process
Automation
End to end CI-CD process automation
Intelligent Automation with GenAI
Automated test script generation from manual test cases
GenAI copilot for faster framework and test development
Intelligent regression analysis and automated defect/report generation
Industrial IoT
Connected industrial devices, gateways, sensor networks, predictive maintenance systems, and edge analytics platforms.
Healthcare
Medical devices, patient monitoring systems, diagnostic equipment, and compliance-ready health platforms.
Home Automation
Smart home hubs, connected appliances, security systems, energy management devices, and voice-enabled ecosystems.
Automotive
ECUs, ADAS components, infotainment systems, telematics units, and safety-critical automotive electronics.
Consumer Electronics
Smart devices, multimedia systems, wearables, AR/VR devices, and connected consumer products.
Silicon
SoCs, ASICs, reference platforms, evaluation boards, IP validation environments, and silicon bring-up ecosystems.
Featured Case Study
Fuzz Test Automation Framework - Success Story
Yes. We validate datasets, features, models, and embedded neural networks, including benchmarking, parameter traceability, and compiler-level validation for edge AI.
We integrate automated testing into CI/CD pipelines and support DevOps, DevSecOps, MLOps, and EdgeOps workflows for continuous quality and faster releases.
We implement standards-driven quality workflows that map requirements to test cases, enforce static and dynamic code analysis, and validate system behavior against safety goals. Our approach includes functional safety verification aligned to ISO 26262, A, MISRA-C compliance checks, and vision stack conformance testing, ensuring traceability, fault coverage, and certification readiness across the product lifecycle.
We engage early in the product development process from early feasibility and architecture validation to production release and continuous post-deployment validation.
We establish bidirectional traceability by linking system and safety requirements to test cases, test execution results, and defect artifacts within an integrated ALM toolchain. Our approach enforces requirement coverage tracking, automated traceability reports, and change-impact analysis, ensuring every requirement is validated, auditable, and certification-ready across the product lifecycle.
Why MosChip for Quality Engineering Services?
Embedding quality engineering at every stage through automated testing, compliance-ready validation, and scalable performance assurance
Why MosChip for Quality Engineering Services?
End-to-End Product Quality Coverage
Compliance-Ready & Certification-Focused QA
Hardware-Centric and Embedded Quality Engineering
Automation-led DevOps, MLOps, and scalable test infrastructure
Deep embedded, sensor, and connectivity validation expertise
Multimedia, audio/video testing, Embedded system & integration testing, Test tool development, Network interface card validation, Software toolchain validation
Evaluating Machine Learning (ML) and Agentic AI solutions using standardized metrics and evaluation libraries. Dataset preparation, performance testing, toxicity check, security testing. Model evaluation & benchmarking pipeline setup, metrics and experiment tracking. Embedded NN testing and CNN compiler validation, ML library integration testing
Performance & functional testing, Sensor integration & interoperability, Peripheral & connectivity testing, App and edge testing for connected devices
ISO 26262 (FuSa), MISRA-C, OpenVX and vision stack conformance, Framework/tools assessment, Feasibility analysis and test lab setup advisory
CI/CD integration and test execution, ClousOps, DevSecOps, MLOps, EdgeOps, Device-to-cloud automation, Test automation frameworks, Quality Assuarance farm setups and scripted regression flows
What We Deliver?
Key Technologies
Automation Frameworks
Pytest
Robot Framework
MosChip PTAF
Test Management
Test Rail
JIRA- Xray
TestLink
Rational Quality Manager
Performance/Load Testing
Apache JMeter
LOCUST
MonkeyTalk
Version Control
GitLab
GitHub
Tortoise SVN
Bitbucket
Perforce
Networking
Wireshark
NRF
SNIFFER
Built for Intelligent, Scalable Quality Automation
MosChip’s Product Test Automation Framework (PTAF) is a Python/PyTest-based, end-to-end automation framework designed to validate embedded systems, connected devices, applications, and edge-to-cloud workflows at scale.
Unified
automation
Across embedded firmware, mobile, web, APIs, and IoT systems
Hardware-aware
testing
With support for serial interfaces, GPIOs, relays, and sensors etc.
Protocol
validation
BLE, Wi-Fi, Matter-based devices and others
Modular, reusable framework
With scalable parallel execution and automated reporting
10+
Automation Bots
Supporting RPA, regression, test automation, and provisioning
Process
Automation
End to end CI-CD process automation
Intelligent Automation with GenAI
Automated test script generation from manual test cases
GenAI copilot for faster framework and test development
Intelligent regression analysis and automated defect/report generation
Industrial IoT
Connected industrial devices, gateways, sensor networks, predictive maintenance systems, and edge analytics platforms.
Healthcare
Medical devices, patient monitoring systems, diagnostic equipment, and compliance-ready health platforms.
Home Automation
Smart home hubs, connected appliances, security systems, energy management devices, and voice-enabled ecosystems.
Automotive
ECUs, ADAS components, infotainment systems, telematics units, and safety-critical automotive electronics.
Consumer Electronics
Smart devices, multimedia systems, wearables, AR/VR devices, and connected consumer products.
Silicon
SoCs, ASICs, reference platforms, evaluation boards, IP validation environments, and silicon bring-up ecosystems.
Featured Case Study
Fuzz Test Automation Framework
Yes. We validate datasets, features, models, and embedded neural networks, including benchmarking, parameter traceability, and compiler-level validation for edge AI.
We integrate automated testing into CI/CD pipelines and support DevOps, DevSecOps, MLOps, and EdgeOps workflows for continuous quality and faster releases.
We implement standards-driven quality workflows that map requirements to test cases, enforce static and dynamic code analysis, and validate system behavior against safety goals. Our approach includes functional safety verification aligned to ISO 26262, A, MISRA-C compliance checks, and vision stack conformance testing, ensuring traceability, fault coverage, and certification readiness across the product lifecycle.
We engage early in the product development process from early feasibility and architecture validation to production release and continuous post-deployment validation.
We establish bidirectional traceability by linking system and safety requirements to test cases, test execution results, and defect artifacts within an integrated ALM toolchain. Our approach enforces requirement coverage tracking, automated traceability reports, and change-impact analysis, ensuring every requirement is validated, auditable, and certification-ready across the product lifecycle.
