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Our Development Process

From Concept to Completion

At the heart of every successful project is a clear and methodical process. Our approach combines creativity, technical expertise, and meticulous planning to bring your vision to life. Whether we're defining the project scope, crafting the design, or ensuring a seamless release, our process is designed to deliver high-quality results every step of the way.

Concept

At the core of our approach is a clear and detailed concept that guides the entire project. With AI-assisted analysis, we uncover hidden dependencies, risks, and opportunities early—so the foundation is stronger and smarter from day one.

Target

Define project scope and clarify/extend requirements

Strategy

Devise high-level technical strategy

Risk

Determine risk levels

Platform

Define target platforms

AI-Assisted Scoping

Use AI to validate requirements and spot missing details.

Risk Prediction

Leverage AI tools to anticipate potential risks faster.

Design

Crafting a compelling and functional design tailored to your needs. We use AI-enhanced modeling and automated simulations to stress-test designs early, ensuring they’re scalable, compliant, and future-ready.

Intitial Architecture

Identify various software components, and then build the overarching framework.

AI Modeling

Generate architecture options quickly and evaluate tradeoffs.

Technical

Technical Strategy: Identify languages, frameworks and technologies to be used.

R&D

R&D phase to address any known technical risks.

Testing Strategy

Determine types of tests will be developed using which frameworks and providing what coverage.

Smart Testing Strategy

Use AI to suggest test coverage and frameworks.

Development

Bringing the design to life with robust and efficient code. AI developer agents accelerate repetitive coding and automated testing, while our engineers focus on innovation, security, and architecture.

Component Implementation

AI-Powered Coding

Agents handle boilerplate and repetitive code.

Testing

Full manual testing plan is ready and has been applied against all implemented items on all supported platforms.

Automated QA

AI speeds up testing and detects issues earlier.

Dev Ops

All DevOps tasks complete:

Build systems
Environments

UI/UX

Full UI/UX design with wireframes, comps and assets

Release

Ensuring a smooth and successful launch. AI-powered regression testing and automated monitoring reduce deployment risks, while predictive analytics help us resolve issues before they reach users.

Deployment

Deploy the application to the production environment.

AI Bug Detection

Catch issues across environments faster.

Predictive Monitoring

Anticipate scaling issues at launch.

Address bugs

Identify and resolve any bugs or issues that arise during the deployment process.

Alpha

Conduct initial alpha testing to verify core functionality and stability.

Final testing

Perform comprehensive final testing to ensure all features work as intended.

Beta

Release the beta version to a select group of users for further testing and feedback.

Push fixes

Implement fixes for any issues found during the beta testing phase.

Final

Prepare and deploy the final version of the application for public release.

Maintenance

Ongoing support to ensure continued performance and reliability. With AI-driven monitoring and log analysis, we detect anomalies early, optimize performance continuously, and adapt systems as needs evolve.

Monitoring

Regularly track system performance and availability to ensure optimal operation.

Speed

Continuously optimize system performance to maintain high-speed operations.

AI Anomaly Detection

Spot irregularities before they cause downtime.

Automated Optimization

Continuously fine-tune performance.

Logs

Maintain detailed logs for monitoring, troubleshooting, and performance analysis.

Review feedback

Gather and review user feedback to make necessary improvements and enhance user satisfaction.

Retirement

Graceful deprecation of outdated systems. AI-assisted audits ensure compliance, verify backups, and validate data migration before systems are fully decommissioned.

Backup

Ensure all data is backed up before decommissioning servers.

Decommission Server

Safely power down and decommission the server after all data has been backed up and migrated.

Task Completion

Complete all tasks associated with the retirement of the system.

Compliance Audit

Automated AI checklists before shutdown.

Data Verification

AI cross-checks to ensure backups are complete.

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