AI development services

Cloud Hawk employs a comprehensive and systematic approach when delivering artificial intelligence development services that is characterized by a number of practical steps that guide the company’s development process from AI project inception to deployment and further maintenance. By following these steps, Cloud Hawk delivers tailored AI solutions that meet clients’ objectives and comply with industry standards and legal requirements.

Deep-dive discovery, research, and requirement elicitation

Cloud Hawk’ AI developers begin each project with thorough discovery sessions with the client. By gathering comprehensive requirements, Cloud Hawk can provide a clear project plan, compose a suitable team of experts, and delve into researching similar solutions on the market to evaluate the feasibility of the project idea and compare technologies in use.

Integration of relevant domain expertise

Cross-functional team collaboration is the cornerstone of Cloud Hawk’ artificial intelligence development approach. We make sure to involve experts with domain-specific knowledge. Such subject matter experts can be healthcare professionals, financial analysts, software engineers with wide expertise in a particular domain, or industry specialists who understand the specifics of the client’s problem. Their insights contribute to the development of AI solutions that help with solving real-life business issues and fully comply with industry-specific requirements.

Organized data collection and preparation

As discussed earlier, data fuels AI software systems. To prepare for the artificial intelligence development process, the Cloud Hawk team collects relevant data from diverse sources (according to the particular model) and prepares it for analysis. This iterative process of data collection and preparation involves cleaning, structuring, and transforming data to ensure AI models are accurate and reliable.

Model development and training

Cloud Hawk’ data scientists, AI developers, and machine learning engineers develop and train AI models tailored specifically to project and business requirements. This is a critical phase of AI project execution that includes selecting appropriate algorithms, designing custom architectures, and training models using previously prepared data. We also conduct rigorous testing and validation to ensure each model’s accuracy, performance, security, and reliability.

Iterative deployment with the help of prototyping

Our artificial intelligence development services team follows an incremental approach to development, which involves achieving set milestones and reporting results to the client. We create workable prototypes of the AI solution to let the client’s team and beta testers thoroughly test the software before its launch. The team then collaborates closely with the client to gather feedback. These iterative cycles allow Cloud Hawk to refine and enhance the solution based on client input, leading to the release of a well-functioning final product.

Seamless AI solution integration

Once the prototype is approved, Cloud Hawk’ software architects and artificial intelligence developers work to seamlessly integrate the AI solution into the client’s existing infrastructure. During this step, our data science team performs compatibility testing and ensures the final solution meets the required performance metrics. Plus, we provide onboarding for end users to ensure a complete and smooth transition to the new solution.

Monitoring and maintenance

Once the AI solution is deployed and successfully released into production, Cloud Hawk’ artificial intelligence development services aren’t over, as we continue to monitor the solution’s performance and its impact on overall business success. We offer the client on-demand and proactive maintenance and support services to promptly address any roadblocks that arise and to keep the solution on track with evolving business needs.