Our Process - How We Work

We work closely with our clients to understand their needs and goals, integrating into their daily operations to understand what drives their business and AI data requirements.

Our team conducts a thorough analysis of the client's current data systems and identifies opportunities for improvement. We also perform cultural context assessments to optimize annotation quality across different markets.

When the complete analysis is finished, we present a comprehensive plan and, most importantly, a realistic implementation timeline.

Based on the discovery phase, we develop a comprehensive roadmap for each annotation project and begin working toward delivery. We use advanced annotation technologies and quality control systems to ensure accurate results.

Each client is assigned a dedicated project manager to keep communication lines open and transparent. They serve as a link between the client and our annotation teams, ensuring the project stays within the parameters of time and quality expectations.

Our agile annotation process allows for regular updates and adjustments, ensuring the final datasets meet the client's expectations and business objectives.

In the delivery phase, we ensure that all requirements are met and that the annotated datasets are ready for use. We conduct extensive quality checks to guarantee accuracy and completeness.

Our team focuses on optimizing annotation consistency and ensuring that all data is properly formatted and accessible for immediate integration into AI training workflows.

We ensure all key deliverables are fully functional at handover and provide comprehensive documentation and support to ensure a smooth transition.