About MindInventory
Building Software That Solves Real Business Problems
Founded in 2011, MindInventory is a software engineering company headquartered in Ahmedabad, Gujarat, India, with 300+ technology specialists. We help organizations build, modernize, and scale software products, AI-powered solutions, mobile and web applications, cloud platforms, and digital experiences.
With 15+ years of engineering experience, we have delivered 2,700+ projects for 1,800+ clients across 40+ countries and 18+ industries. Our expertise spans AI and machine learning, generative AI, custom software development, data engineering, cloud engineering, web and mobile application development, digital twins, UI/UX design, and software modernization.
Trusted by 1,800+ Global Clients
Technology Partnerships That Strengthen Delivery
Certifications & Compliance
ISO/IEC 42001:2023
ISO/IEC 27001:2022
ISO 9001:2015
SOC 2 Type II
HIPAA
GDPR
PCI DSS
What Shapes MindInventory's Identity
Our Mission
Our Vision
Our Core Values
Quality by Design
Customer-First Thinking
Engineering Excellence
Continuous Innovation
Transparency
Long-Term Relationships
Our Core Services
- Generative AI and LLM application development
- AI agents and intelligent automation
- Machine learning and predictive analytics
- RAG and enterprise knowledge systems
- AI integration and model implementation
- Digital twin strategy and architecture
- 3D visualization and simulation
- IoT and real-time data integration
- AI/ML-powered digital twins
- Industrial and enterprise digital twin solutions
- Healthcare software development
- EHR/EMR and healthcare system integration
- Telemedicine and virtual care platforms
- HL7 and FHIR interoperability
- HIPAA-focused healthcare solutions
- Custom enterprise software development
- Web application development
- API and system integration
- Legacy software modernization
- Software testing and quality engineering
- SaaS product development
- MVP development and validation
- Product engineering
- Multi-tenant architecture
- Software modernization and optimization
- Custom iOS and Android app development
- Flutter and React Native development
- Mobile app UI/UX design
- Enterprise mobile applications
- Legacy app modernization and support
- Cloud strategy and architecture
- Cloud migration and modernization
- AWS, Azure, and Google Cloud solutions
- DevOps and CI/CD implementation
- Cloud security, monitoring, and optimization
- Generative AI and LLM application development
- AI agents and intelligent automation
- Machine learning and predictive analytics
- RAG and enterprise knowledge systems
- AI integration and model implementation
- Digital twin strategy and architecture
- 3D visualization and simulation
- IoT and real-time data integration
- AI/ML-powered digital twins
- Industrial and enterprise digital twin solutions
- Healthcare software development
- EHR/EMR and healthcare system integration
- Telemedicine and virtual care platforms
- HL7 and FHIR interoperability
- HIPAA-focused healthcare solutions
- Custom enterprise software development
- Web application development
- API and system integration
- Legacy software modernization
- Software testing and quality engineering
- SaaS product development
- MVP development and validation
- Product engineering
- Multi-tenant architecture
- Software modernization and optimization
- Custom iOS and Android app development
- Flutter and React Native development
- Mobile app UI/UX design
- Enterprise mobile applications
- Legacy app modernization and support
- Cloud strategy and architecture
- Cloud migration and modernization
- AWS, Azure, and Google Cloud solutions
- DevOps and CI/CD implementation
- Cloud security, monitoring, and optimization
Have a Technology Challenge to Solve?
The Minds Behind MindInventory
Mehul Rajput
Founder and CEO
What Our Clients Have to Say About MindInventory
Frequently Asked Questions
Latest Insights
Explore our latest research on cutting-edge tech trends and discoveries to stay ahead in this digital-first landscape!
AI Clinical Documentation: A Guide to Smarter Clinical Care
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How to Implement Machine Learning Governance: Steps, Frameworks & Costs
Ask an ML team to pull up the exact model version that scored a customer six months ago, the data it was trained on, and the person who approved its…
Top Interoperability Standards for Digital Twins: A 2026 Business Guide
A digital twin becomes drastically more useful if it can exchange information with the systems it needs to communicate with. A manufacturing twin needs data from PLCs and sensors, engineering…