Based on our broad experience in Silicon Valley’s leading startups and enterprise companies, we have a holistic approach considering the entire technology ecosystem, encompassing cloud Infrastructure stacks, AI/ML, GenAI expertise, Apps, Semiconductor IP design, Engineering, and Operations.
We enable clients to achieve success in engineering operations and quality in setting up seamless Concept to product release flows. We emphasize continuous improvement by actively seeking feedback from clients, end-users, and industry experts.
Holistic Approach: AI, Cloud-Computing, Edge Computing, SaaS
- SaaS development, transition to Private/Hyper-Scale Cloud Computing,
- Private, multi-cloud compute, storage, network infrastructure design & optimization, Edge Computing
- Cloud Infrastructure Products Evaluation, Partnership Management
- Team building, Product/solution development – all phases
- High-tech stacks: AI/ML/Apps/ Ops
- GenAI expertise: LangChain, OpenAI, Synthetic data generation
- App Development (iOS/Android)
- Deep knowledge of cloud (AWS, Azure, GCP) and databases
- Startups evaluation and advisory services
- Technology Solutions and Implementation Services in Data Management
Mission-Critical
Product Development
- Successful transitions of concepts to Cloud Operations
- Compute, Storage, Virtualization, AI (Conversational, Ops, Infrastructure)
- GCP, Azure, AWS Hyperscalers Core-Competency
- Mapping the Application Resource Requirements to underlying Infrastructure and design of Reference Architecture to meet Application Requirements
- Mission Critical software such as Operating systems, Virtualization, Grid Computing
- ISV certifications for new architectures
- Mission Critical Development Processes, Support Structures, Supportability Tools
EDA & Analog IP (Silicon to System)
- EDA workflows in multi- and hybrid-cloud for silicon to system workflows
- Quality Management Systems, Processes, Controls and Monitors
- Product Strategy and Development
- Product Management, Planning, Positioning
- Product-Market fit
- Go-to-market Strategy, Roadmaps and Opportunities
- Analog IP design - Gigabit SERDES, PLL, ADC/DAC, LDO, Power Management
Semiconductor and Data storage Products
- Product Life Cycle (PLC) Management: Prototype to manufacturing
- Product Engineering, Product Management and Operations
- Managing Global Contract Manufacturers (Foundries, A/T factories)
- Enabling Product Reliability and Customer Qualification
- Implement Quality Management Systems (QMS) for Excellence
- Quality Processes, Controls and Monitors
Trusted by Clients
Capabilities and Customer Success
We provide services/solutions in Data Management, AI, Cloud & Mobile App Development areas. We offer Product Engineering & Staffing services to Private & Public Sector – and provide implementation services by forming long term partnerships with leading edge Tech platform companies. Our range of Dev & Support services span all Microsoft product lines including Business Applications, Dynamics (CRM, ERP) and Power Platform.
We have successfully completed projects on Object Detection, Exam Proctoring Solution, Face Recognition, Alert generation for not wearing a protective gear such as hand-gloves, helmet, etc.
1. Expertise in Data/Code Migration, Data Transformation, Data Cleaning, Data Insights, Exploratory Data Analysis, Feature Engineering.
2. Model Development, Model Deployment, Model Monitoring to perform Predictive Analytics, Descriptive analysis, Root cause Analysis
3. Image/Video Analytics and Natural Language Processing.
4. Technical Stack includes Azure Cognitive Services as NLP/NLU (Language Translation, Summarization, Sentiment Analysis)
5. Computer Vision (Object Detection and Classification, Face Detection, Recognition), Demographic Information.
6. Azure Applied AI Services as Form Recognizer, Video Analyzer
7. SAS Viya Tools such as SAS ESP, SAS Model Manager, SAS Visual Analyzer, Tableau, R, Python, Py-Spark, Tensorflow, Keras, NLTK, SpaCy, CNN, LSTM, Bert, etc.
Customer Success Case Studies
We have undertaken full life cycle outsourced engineering development projects executed for large enterprises.
- Additional Case Studies and testimonials are available on request.
  Software Development
- Regular Feedback in Sprint Demos, Reviews with Product Owner and/or Manager
- Security Training Completions
- Strong Documentation for Development Practices, QA, Test Automation
- Review of auto generated reports with Jira & CI/CD. Vulnerabilities Check
- Client visits and audit
- Review of Requirement Traceability Matrix
- Training sessions provided to client personnel as needed.
  Data Storage
- High level technical engagement with UC Berkeley for analytics and Failure analysis of magnetic spacing related challenges. Outcome was implementation of specific contamination control related design and process changes that became critical design element of removable storage applications
- Large data center customers for Enterprise class storage drives provided real positive feedback on Product quality for critical application as well as the expediency of response during customer qualifications
- Cloud Applications for Hyperscale customers
- Storage devices for ever growing demand for Surveillance markets
- Archival storage