Data Engineering & AI
Data Engineering & AI
Emerging tech shapes the future, Disruption is the new normal and innovation is the answer, Emerging technologies are crucial in today's digital era, profoundly impacting business operations by transforming information access, driving innovation, enhancing efficiency, and supporting problem-solving. Hrddhi leads in leveraging these advancements, helping companies excel in a dynamic digital environment. Our expertise in consulting, R&D, and testing enables us to develop customized roadmaps for seamless technology integration aligned with your goals. As your innovation partner, we assist in utilizing our specific expertise to achieve measurable business outcomes. Partnering with Hrddhi means reaching your goals through our customized solutions outlined below :
- Cloud Readiness assessment
- Multitenant SaaS solutions
- Lift and Shift,Redeployment, Reengineering and integration
- Cloud infrastructure/datacenter migration
- Modernize applications using microservices and or serverless design leveraging containers and DevSecOps on cloud platform.
- Capacity planning and optimized cloud storage for scalable and optimized storage.
- Integration of on-premise, and cloud services.
- Continuous delivery of cloud application using automation and DevOps tools.
- Automated provisioning, Scaling up of servers
- CI/CD set up & Orchestration services
- Elimination of configuration mismatch
- Automated, error-free, faster configuration deployment
- Automated Security Testing
- Infrastructure as Code (IaC) Security
- Secure Code Review
Expertise in Building
- Custom ML models
- Image & visual based AI solutions.
- Integrating AI into existing software platforms
- Edge AI Solutions
- AIOps and MLOps services
- Developing bespoke RAG models for Code Automation
- Creating conversational AI systems that leverage RAG
- Automating content development
- Data Analytics using RAG Solutions
IoT Full Stack Development
- IoT Sensor Nodes & Cloud Interfaces Development
- Integration with Peripheral Devices
- Analytics Engine &AI for analyzing IoT data.
- Remote monitoring for optimal performance and issue detection.
- Data Engineering - Collect & Manage
- Descriptive analytics: Data discovery, aggregation services
- Diagnostics analytics: Data discovery, drill-down, data mining, and correlations
- Prescriptive analytics: applied statistics, signal processing, natural language processing
- Dashboard, visualization, log generation, report management.
- Security requirement analysis
- Threat modelling
- Vulnerability assessment
- Penetration testing
- Security patching
- Periodic Vulnerability Assessment & Penetration Testing (VAPT)
Engineering
Data Engineering & AI
01 Cloud Engineering
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02 DevSecOps
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03 AI/RAG Services
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04 IoT & Engineering Analytics
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05 Cybersecurity