Our Services
Clickable Prototype
Clickable Prototype: A clickable prototype is a simulated version of a software application or website that allows users to interact with it as if it were a fully functional product.
Ideal For: Startups in the early stages of the design and development process (usually pressed) to gather feedback, validate design concepts, and identify potential issues before investing time and resources in actual development.
Tier 1
- Limited interactive elements
- Straightforward user flow
- Minimal screens
Tier 2
- Moderate number of interactive elements
- Multiple screens
- More intricate user flow
Tier 3
- Advanced interactions, animations
- Complex user flows
- Potentially includes sophisticated features
Minimum Viable Product (MVP)
MVP: A minimum viable product, is a basic version of a software product that includes only essential features to meet the primary needs of early users.
Ideal For: Startups in pre-seed or seed stages to quickly test the viability of their product concepts in the market, gaining early user feedback and reducing the risk of investing heavily in a full-scale product that might not meet market needs.
Tier 1
- Limited Features: Essential features showcasing core value
- Simple Design: Straightforward user interface, minimal complexity
- Basic Functionality: Addresses specific user needs or problems
Tier 2
- Moderate Features: Broader feature set for a comprehensive user experience
- Enhanced Design: Refined user interface, improved user experience
- Intermediate Functionality: Well-rounded solution addressing multiple user needs.
Tier 3
- Extensive Features: Wide range for a near-complete user experience
- Sophisticated Design: Advanced elements, potential for animations or complex interactions
- Comprehensive Functionality: Feature-rich solution aligning closely with the final product vision
Custom MVP
- Uniquely tailored to a business’s needs with personalized features, a brand-specific design, scalability for future growth, and potential integration with existing systems. Duration and cost will vary.
Software Product Engineering Team (SPET)
SPET: End-to-end software development solutions involving a dedicated team of software engineers, designers, quality assurance specialists, project managers, and other professionals who work collaboratively to build and enhance software products
Ideal For: Accelerated Product Development; SPETs are equipped to handle end-to-end software development, enabling startups to accelerate their product development cycles. This speed is crucial for startups aiming to quickly bring innovative products to market.
Tier 1
- 2 Dedicated Software Engineer
- Shared Quality Assurance Engineers
- Shared DevOps Engineer
Tier 2
- 4 Dedicated Software Engineer
- Shared Quality Assurance Engineers.
- Shared DevOps Engineer
Tier 3
- 6 Dedicated Software Engineer
- Shared Quality Assurance Engineers.
- Shared DevOps Engineer
Custom SPET
Software Maintenance and Support (SMS)
SMS: Involves a set of activities aimed at ensuring the continuous functionality, security, and usability of the software product. It includes bug fixes, updates, user assistance, performance monitoring, and security measures for sustained effectiveness.
Ideal For: All size of startups, after the development and deployment of a software application. Software Maintenance and Support Maintaining software is vital for reliability, security, and adaptability.
Tier 1
- Shared Software Maintenance Engineer (handles bug fixes and updates)
- Shared User Support Specialist (addresses customer inquiries and issues)
- Shared Performance Monitor (monitors and optimizes software performance)
Tier 2
- 1 Shared Software Maintenance Engineer (handles bug fixes and updates)
- Shared User Support Specialist (addresses customer inquiries and issues)
- Shared Performance Monitor (monitors and optimizes software performance)
Tier 3
- 2 Shared Software Maintenance Engineer (handles bug fixes and updates)
- Shared User Support Specialist (addresses customer inquiries and issues)
- Shared Performance Monitor (monitors and optimizes software performance)
Custom SMS
AI Product Enablement Services
In today’s fast-paced tech landscape, using Artificial Intelligence (AI) is crucial for businesses to stay competitive.
We have structured a practical set of AI Product Enablement Services. Our suite is designed to help organizations easily integrate, optimize, and make the most of AI-driven solutions in their product lineup.
Cloud Engineering Services
Cloud Migration and Strategy:
Assist organizations in planning and executing seamless transitions to cloud environments, considering factors such as workload analysis, cost optimization, and risk management to maximize the benefits of cloud adoption.
Infrastructure as Code (IaC):
Implement IaC practices to automate the provisioning and management of cloud infrastructure, enhancing scalability, consistency, and reproducibility while minimizing manual configuration efforts.
DevOps and Continuous Integration/Continuous Deployment (CI/CD):
Integrate DevOps principles and CI/CD pipelines to streamline software development, testing, and deployment processes in the cloud, fostering agility, collaboration, and faster time-to-market.
Security and Compliance:
Ensure robust cloud security by implementing best practices for identity and access management, encryption, and compliance monitoring, addressing regulatory requirements, and safeguarding sensitive data.
Serverless Computing and Microservices:
Leverage serverless architectures and microservices design principles to build scalable, cost-effective, and resilient applications, optimizing resource utilization and enhancing overall system performance.
Cost Optimization and Resource Management:
Implement strategies to optimize cloud costs by monitoring resource usage, implementing auto-scaling, and leveraging reserved instances, ensuring that organizations maximize the value of their cloud investments while controlling expenses.
Data Engineering Services
Data Integration and Transformation:
Provide expertise in integrating diverse data sources, transforming raw data into a usable format, and ensuring seamless flow between systems.
ETL (Extract, Transform, Load) Processes:
Design and implement efficient ETL processes to extract data from various sources, transform it according to business requirements, and load it into target databases for analysis.
Data Warehousing Solutions:
Develop and maintain robust data warehouses that serve as central repositories for structured and unstructured data, enabling organizations to perform complex analytics and reporting.
Data Quality Management:
Implement measures to ensure data accuracy, consistency, and completeness, including data profiling, cleansing, and validation processes to enhance the overall quality of the data.
Big Data Technologies:
Leverage advanced technologies such as Apache Hadoop, Apache Spark, and other big data frameworks to process and analyze large volumes of data efficiently, enabling organizations to derive valuable insights from massive datasets.
Scalable and Flexible Architectures:
Design scalable and flexible data architectures that can adapt to evolving business needs, ensuring that the data infrastructure can support growing data volumes and accommodate changes in technology and business requirements.
ELT (Extract, Load, Transform) Processes:
Design and implement efficient ELT processes to extract data from various sources, load it into target databases for analysis, and transform it according to business requirements.
