Embodied AI
Egocentric Data Annotation for AI & Robotics
CyberData India provides specialized egocentric (first-person) data annotation services to support the development of embodied AI, robotics, and real-world machine learning systems. We focus on transforming raw first-person video and sensor data into structured, high-quality datasets ready for model training.
Powering Embodied AI
Human-Centric Intelligence
Core capabilities
- Annotation of first-person (POV) video data captured via wearable devices
- Frame-level and sequence-level labeling for egocentric datasets
- Support for large-scale data annotation pipelines
- Custom schema and ontology design aligned to client requirements
- Data classification and structuring for downstream AI/ML workflows
Advanced annotation services
- Action recognition and activity segmentation
- Object detection, tracking, and interaction labeling
- Temporal event tagging and workflow decomposition
- Human-object and environment interaction classification
- Multi-class and hierarchical labeling for complex scenarios
Technical workflow
- Ingestion of raw egocentric video and multimodal datasets
- Annotation using client-defined or standardized taxonomies
- Multi-layer quality control and validation processes
- Dataset formatting for compatibility with AI/ML frameworks
Applications
- Robotics and embodied AI model training
- Human activity recognition systems
- Autonomous systems operating in real-world environments
- Human-machine interaction modeling
Value proposition
- High-accuracy annotation tailored for first-person datasets
- Scalable operations for large-volume data requirements
- Flexible labeling frameworks aligned to model architectures
- Robust quality assurance ensuring consistency and reliability
Next-Generation Egocentric AI Data Solutions
High-Quality Annotation for Real-World AI Training
Enterprise AI Solutions
Generative AI Solutions
CyberData India provides end-to-end Generative AI capabilities to help organizations build, fine-tune, and deploy AI systems that can create high-quality content, automate workflows, and enhance decision-making. Our solutions are designed to integrate seamlessly into enterprise AI pipelines and deliver scalable, production-ready outputs.
Model Engineering
Core Capabilities
- Development and fine-tuning of Large Language Models (LLMs) and multimodal models
- Custom generative model training using domain-specific datasets
- Prompt engineering and optimization for controlled output generation
- Synthetic data generation to augment training datasets
- Integration of generative AI into existing applications and workflows
AI Optimization
Advanced data & model services
- Dataset curation, cleaning, and preprocessing for generative model training
- Human-in-the-loop validation and reinforcement learning workflows (RLHF)
- Output evaluation frameworks for quality, bias, and consistency
- Custom guardrails and alignment strategies for enterprise use cases
- Annotation and labeling support for training and fine-tuning generative models
Smart Deployment
Technical workflow
- Requirement analysis and use-case definition
- Model selection (LLMs, diffusion models, or hybrid architectures)
- Data preparation and augmentation (including synthetic data generation)
- Fine-tuning, evaluation, and iterative optimization
- Deployment via APIs or on-prem/cloud environments
Intelligent Automation
Applications
- Automated content generation (text, images, code)
- Conversational AI and intelligent assistants
- Synthetic dataset creation for AI/ML training
- Personalization engines and recommendation systems
- Document processing and knowledge automation
Enterprise Scalability
Value proposition
- Production-grade generative AI tailored to business needs
- Scalable infrastructure for high-volume generation tasks
- Domain-specific customization for improved accuracy and relevance
- Strong data governance, quality control, and model alignment
