AI Data Industry Solutions
Our Services
RLHF Data Annotation
Reinforcement Learning from Human Feedback (RLHF) is a key technology for enhancing the controllability, alignment, and intelligent interaction experience of AI models. High-quality RLHF data annotation is crucial for optimizing model decisions, reducing bias, and improving user experiences. We offer systematic and refined RLHF data annotation services that help AI models deliver more accurate responses and exhibit behaviors more aligned with human values in areas such as dialogue systems, content generation, and intelligent assistants.
Our RLHF annotation process combines high-quality human feedback with rigorous quality control, covering essential steps like preference comparison, reward modeling, and behavior optimization. This ensures that AI systems can continuously learn and improve in complex decision-making environments. We strictly adhere to data security and privacy compliance standards, ensuring the reliability and transparency of data processing.
With our professional RLHF data annotation solutions, we help AI models enhance interpretability, reduce error rates, and better understand and adapt to human needs, accelerating the deployment and application of AI technologies in intelligent dialogue, content moderation, and search optimization.
Autonomous Driving Data Annotation
In the rapidly evolving era of autonomous driving and Advanced Driver Assistance Systems (ADAS), high-quality data annotation is a core element in training intelligent driving models and enhancing environmental perception and decision-making capabilities. We provide high-precision, full-scenario data annotation services for autonomous driving, helping AI models make safer and more accurate decisions in areas such as object detection, path planning, and driving behavior prediction.
Our data annotation services cover key tasks, including image and video data annotation, LiDAR point cloud processing, object tracking, and road scene semantic segmentation. These services ensure that AI models can accurately identify traffic signs, pedestrians, vehicles, obstacles, and other complex road conditions. We strictly adhere to data security and industry standards (such as ISO 21448, ASIL-D), ensuring high reliability and compliance in data processing.
Leveraging our specialized data annotation solutions for autonomous driving, we assist automotive manufacturers, autonomous driving technology companies, and research institutions in optimizing AI systems, improving safety, stability, and adaptability in intelligent driving, and accelerating the large-scale deployment of autonomous driving technology.
Healthcare Data Annotation
In the rapidly advancing era of intelligent healthcare and digital health, high-quality data annotation is crucial to empowering AI models for precise diagnostics, decision support, and personalized medical services. We offer specialized and standardized healthcare data annotation services, enabling AI models to achieve more efficient and accurate applications in areas such as medical image analysis, electronic medical record (EMR) processing, and drug development.
The accuracy and compliance of healthcare data are paramount. We strictly adhere to international data security standards, including HIPAA and GDPR, ensuring the safety and privacy of data handling. Our annotation solutions cover essential tasks such as medical image segmentation, pathology data analysis, symptom recognition, and medical literature summarization, supporting healthcare institutions and research organizations in building efficient, reliable AI-assisted systems.
With precise data annotation, we help the healthcare industry improve diagnostic efficiency, optimize patient management, and drive the innovation of medical AI technologies, providing smarter and more reliable solutions for global healthcare systems.
Financial and Compliance Data Annotation
In the context of the rapid development of financial technology and regulatory technology (RegTech), accurate data labeling is the core element to improve the decision-making ability and compliance risk control level of AI models. We provide high-quality, structured data labeling services for financial institutions, helping AI systems achieve more efficient and accurate intelligent analysis in risk control, anti-money laundering (AML), credit assessment and other fields.
Data security and compliance are the cornerstones of the financial industry. We strictly follow industry standards and compliance requirements to ensure the transparency, reliability and traceability of data processing. Our data annotation solutions cover key tasks such as text classification, sentiment analysis, entity recognition, and transaction behavior analysis, enabling financial institutions to build smarter and safer risk control systems and improve the automation and compliance management capabilities of business processes.
Relying on professional data labeling services, we help financial companies maintain their competitive advantage in digital transformation, promote business innovation with smarter and more accurate AI models, and ensure steady growth under an increasingly stringent regulatory environment.
Empowering Your Business Growth
Driving Commercial Success
Bunny AI focuses on providing precise data annotation services for AI training, helping industries enhance AI model performance. We offer services covering speech, image, text annotation, and RLHF, supporting businesses in achieving intelligent transformation across sectors such as autonomous driving, finance, and healthcare. By partnering with us, you will gain efficient and reliable data support, driving business innovation and securing a market-leading advantage.