Whether it’s text, images, video, or audio, AI data annotation services ensure labeled and enriched data so that AI models understand and learn from it effectively.
Properly annotated data directly translates to operational and financial efficiency, reducing errors, shortening development cycles, and ensuring faster time-to-market.
Structured content is much easier to access, use, and monetize. From product catalogs to document archives – with precise categorization, our data annotation services turn raw data into organized assets for smarter search, automation, and personalization across platforms.
Want voice interfaces that understand your users as much as human professionals do? With quality annotation services for speech data, voice assistants and call center solutions can capture nuance, intent, and context to deliver indeed human-like conversations.
For computer vision solutions, precise video annotation is key to achieving peak performance. Data annotation and labeling services allow pixel-level object tagging and real-time motion tracking for models to detect, follow, and respond to dynamic environments.
AI in healthcare starts with annotated diagnostics. Data annotation services for ML are widely used in expert-driven applications with models able to promptly identify anomalies, support clinical decisions, and improve patient outcomes.
Spatial data matters – whether for optimizing logistics, monitoring land use, or powering location-based solutions. AI and data annotation services enable the processing of satellite and drone imagery with pinpoint accuracy for reliable and context-rich geospatial insights.
Quality AI annotation services are indeed able to uncover the true feelings of your customers! Social media or support tickets – we label emotional tone and intent at scale so that our clients act on user feedback with no downtime.
How to create value from raw, unstructured data?
We make it possible for businesses of all sizes with high quality data annotation services
Data annotation service focused on accuracy is the first step to designing an efficient AI solution, no matter its purpose.
E-commerce data annotation transforms product images, customer reviews, and behavioral data into tailored recommendations for higher conversion rates and customer satisfaction.
Labeled images and LiDAR point cloud annotation are critical for proper interaction with the surroundings and people in robotics, industrial automation, and self-driving cars.
To accurately identify user intent and tone, allowing for human-like interactions and intelligent support, AI is trained on annotated audio and transcribed speech.
Precise X-ray and MRI segmentation enhances AI-powered tumor and anomaly detection, revealing new paths for faster diagnoses and efficient clinical workflows in the near future.
Our AI and ML data annotation services are backed by a range of frameworks and tools for peak precision and efficiency:
With 80+ mature experts on board, we stand out for exceptional precision at data annotation services for machine learning and other related technology fields.
Data Science UA provides quality data annotation outsourcing services so that businesses of all sizes gain access to scalable AI solutions with measurable results.
With 80+ experienced professionals on board, we stand out for exceptional precision at data annotation services for machine learning and other related technology fields.
Data Science UA provides quality data annotation outsourcing services so that businesses of all sizes gain access to scalable AI solutions with measurable results.
Acelerar a descoberta de medicamentos com análises avançadas e ML.
Farmacêutico
Melhorar a segurança e a rapidez dos serviços financeiros.
Fintech
Melhorar o bem-estar da força de trabalho e o sucesso operacional com soluções de IA personalizadas.
Fabrico
A IA transforma a indústria química com soluções avançadas baseadas em dados.
Química
Transformar a experiência de compra com soluções inovadoras de dados e IA.
Retalho e
Comércio eletrónico
Revolucionando a energia renovável com tecnologia de ponta e informações de dados.
Energia verde
Looking for professional data labeling and annotation services?
We leverage years of hands-on expertise to ensure peak data performance
Data annotation machine learning services require a comprehensive approach for consistent results. Here’s ours:
Aligning on your AI goals, data types, and project scope to ensure a fitting approach from the start.
Efficient resource allocation and annotation strategy based on your data’s structure, quality, and volume.
Building tailored workflows to match your timeline, industry, and model requirements.
Project-specific training for annotation teams to guarantee accuracy, consistency, and compliance.
Fine-tuned task distribution and seamless communication loops for maximum speed and precision.
Ensuring only accurate, ready-to-train data delivery with multi-level validation.
See how we make AI solutions bring real value with AI annotation and data labeling services:
Released real-time audio and text recognition for instant seller info, added video and audio customization, and improved multi-language audio data annotation.
Optimized computer vision algorithms, enhanced cloud development, and implemented SRE. Developed proprietary AI for real-time worker assistance and reduced cloud costs.
Improved factory software for better safety monitoring, integrated real-time location and sensor data, and built original tools and interfaces for efficient risk management.
Alta qualidade, autoridade, responsabilidade.
Thorough approach, attentiveness to details and requirements, high speed of search, and quality of the candidates. During our collaboration, we’ve widened our DS team with 5 new employees with the company’s active assistance.
Pensamos que têm a melhor reserva de talentos de IA na Ucrânia.
A Data Science UA ajudou-nos a atrair talentos altamente qualificados. Pedimos ajuda para fechar posições nas direcções de Aprendizagem Automática e IA. Com a ajuda desta empresa, contratámos cerca de 10 especialistas em IA.
Os seus padrões de recrutamento são, sem dúvida, dignos de menção.
Feedback rápido e flexibilidade para ir ao encontro do nosso ponto de vista. Demonstram um elevado nível de profissionalismo nos seus processos e comunicações. Estamos satisfeitos com os membros da equipa que a sua equipa encontrou para nós.
Abordagem minuciosa, atenção aos pormenores e aos requisitos, elevada rapidez de pesquisa e qualidade dos candidatos. Chamadas semanais para verificar os resultados.
Durante a nossa colaboração, alargámos a nossa equipa DS com 5 novos funcionários com a assistência ativa da empresa.
A Data Science UA ajudou-nos a atrair talentos altamente qualificados.
Pedimos ajuda para fechar posições nas direcções de Aprendizagem Automática e IA. Com a ajuda desta empresa, contratámos cerca de 10 especialistas em IA.
Feedback rápido e flexibilidade para ir ao encontro do nosso ponto de vista. Demonstram um elevado nível de profissionalismo nos seus processos e comunicações.
Estamos satisfeitos com os membros da equipa que a sua equipa encontrou para nós.
Data analysis and annotation are essential to model performance as these technologies transform raw, unstructured data into a format that AI and ML models can comprehend. Without proper annotation, AI systems are prone to bias and can’t recognize patterns, classify information, or make accurate predictions for data-driven decisions.
Inconsistencies and bias caused by human errors, high cost of manual labeling, and scalability issues of large datasets all pose challenges to further solution development. However, choosing a reputable data annotation services company helps businesses mitigate those issues and increase efficiency of their operations.
The process starts with data collection, sometimes followed by data augmentation and then data preprocessing, which helps clean and format the information for a complete quality dataset. Annotators often use specialized tools to label existing data, either manually or with AI. After that, quality control is held to ensure accuracy and consistency before starting the AI training.
Annotation is a broader term that means adding segmentation, metadata, or any kind of descriptive information to data. On the other hand, data labeling is a specific type of annotation conducted by assigning data with predefined tags or categories, e.g. labeling images as “dog” or “cat.”
