Hand Annotation
The client was pleased with the quality of our work and said they would return.
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Founded by Pamline and Erick, our company was created to bring hope to young people facing hardship, unemployment, and daily struggles in disadvantaged communities. After witnessing how many young men suffer in silence—overlooked, discouraged, and pushed toward drugs or harmful groups—they chose to build a place where youth could regain dignity, purpose, and opportunity. Today, we proudly employ 35 young people: 22 men and 13 women, offering equal respect while giving men a fair chance in a system that often favors women. We believe that meaningful work empowers youth to support their families, uplift their partners, and strengthen their communities. Although we are not yet registered, we hope to secure support to grow and continue shaping the next generation. Our mission is to empower vulnerable youth through stable employment, practical skills, and emotional support. We specialize in digital work such as data annotation, AI training, and crowd-based tasks using tools like CrowdSource, CVAT, Clickworker, Appen,Toloka and more. Our team is resilient and passionate, with many rising from the ghetto to build better futures. We provide a safe, supportive, and non-discriminatory environment that protects them from negative influences and encourages growth. We have worked with reputable clients including Samasource, CloudFactory, Mindrift, and Toloka, delivering quality, reliability, and professional results.
Our company is deeply committed to safeguarding client data and ensuring that all projects are handled with integrity, confidentiality, and professionalism. Even as a growing organization, we have established strong internal security practices to protect sensitive information and maintain a safe working environment for both clients and employees. Physical Security We work in controlled spaces where only authorized team members can access workstations. Devices used for client tasks are kept secure at all times, reducing the risk of unauthorized viewing or interference. We ensure that all work areas remain safe, organized, and monitored during operations. Cybersecurity Measures All employees use secure devices protected with passwords, updated operating systems, and reliable antivirus software. We operate strictly on secure, private internet connections—never public Wi-Fi—to prevent exposure of client data. Client files and project materials are accessed only through approved platforms, and no sensitive information is stored locally unless permitted. Confidentiality & Data Handling Every worker follows strict confidentiality requirements. Team members receive training on data privacy, secure handling of information, and responsible digital practices. We maintain internal confidentiality agreements to ensure that no client data, discussions, or materials are shared outside the workspace or with unauthorized individuals. Access Control & Workflow Security Access to client tools, accounts, and platforms is restricted to trained employees who need it for specific tasks. We follow structured workflows to minimize errors and ensure consistent, secure handling of all data. Audits & Compliance We regularly review and update our internal security procedures to stay aligned with client expectations and industry best practices. As we continue to grow, we plan to pursue formal certifications such as ISO 27001 to strengthen our commitment to data privacy and security.
The client was pleased with the quality of our work and said they would return.
Our project involves high-quality data labeling for AI and machine learning, including image, text, and audio annotation. We follow detailed client guidelines, using tools like CVAT, Appen, Clickworker, CrowdSource with multi-level quality checks to ensure accuracy above 95%. Our team of 50 trained annotators can handle small to large-scale projects, providing scalable, reliable, and timely datasets. We have experience with clients like Samasource, CloudFactory and private clients delivering precise, verified data that supports model training, validation, and development.
Our team completed a year-long LiDAR video annotation project focused on producing high-precision 3D training data for autonomous systems. We annotated large volumes of LiDAR sequences, labeling vehicles, pedestrians, cyclists, road features, and environmental structures with detailed point-cloud segmentation, frame-by-frame tracking, object classification, and consistent trajectories. The project required both speed and accuracy, and our strong performance led to some of us being promoted to Quality Assurance roles. QA was a major priority: we followed strict client guidelines, used multi-step review processes, and upheld tight accuracy standards. Checks covered object boundaries, cross-frame consistency, attribute accuracy, and full protocol compliance. Our commitment to clean, reliable data earned exceptional client satisfaction, frequent bonuses, and highly positive feedback.