350+
4
99%+
26+
Your models are only as good as the data behind them
Artificial intelligence systems rely on high-quality datasets to train, evaluate, and continuously improve. At IntellifyAI, we provide scalable AI data operations that help companies build and refine world-class machine learning models — from initial dataset creation through iterative improvement cycles.
Structured quality assurance at every stage
Secure, compliant data handling
Elastic team scaling to meet project demand
AI engineering leadership embedded throughout
End-to-end annotation capabilities
Purpose-built annotation workflows for every modality your AI pipeline requires.
🖼️
Image & Computer Vision Annotation
High-accuracy annotation for computer vision models at scale. We deliver precise labels for diverse image datasets, supporting the full spectrum of visual AI development across industries.
Capabilities
Bounding boxes
Semantic segmentation
Instance segmentation
Keypoint labeling
Object tracking
Applications
Autonomous driving
Robotics
Retail analytics
Medical imaging
🎬
Video Annotation
Our teams label complex video datasets for training and evaluation, handling temporal dynamics and multi-frame reasoning with high annotator consistency and throughput.
Capabilities
Frame-level annotation
Action recognition
Object tracking
Event detection
Applications
Surveillance AI
Sports analytics
Autonomous navigation
📝
NLP & Document Annotation
We support AI models that process language and documents — from fine-grained entity extraction to large-scale dataset structuring for LLM training pipelines and enterprise AI.
Capabilities
Text classification
Entity extraction
Sentiment labeling
Document tagging
Dataset structuring
Applications
Document AI
Chatbots
Enterprise search
LLM training
🤖
RLHF & AI Model Evaluation
We help AI labs train and evaluate models through human-in-the-loop feedback. Our annotators are trained to assess model outputs with precision, enabling safer and more capable AI systems — supporting the full RLHF cycle from preference labeling to safety red-teaming.
Response Quality
Response ranking
Preference labeling
Safety & Alignment
Hallucination detection
Safety evaluation
Use Cases
Generative AI alignment
Foundation model training
Workflow Support
Iterative model feedback
Benchmark dataset curation
Built for stability. Designed to scale.
IntellifyAI operates delivery centres across two continents, enabling us to build highly stable and scalable annotation teams with consistent quality assurance processes. Our distributed model means your project never stalls.
Each centre operates under the same QA framework, with dedicated team leads, structured onboarding, and rigorous inter-rater reliability benchmarks — giving you confidence in every label delivered.
🇬🇧
London
Headquarters & Client Engagement
🇮🇳
Bengaluru
AI Engineering Hub
🇮🇳
Siliguri
Primary Annotation Centre
🇮🇳
Sikkim
Regional Delivery Centre
The difference that matters at scale
Every differentiator below is built into how we operate — not a marketing promise, but a delivery standard.
🧠
AI Engineering Leadership
Experienced AI engineers oversee every project, not just project managers.
👥
Dedicated Annotation Teams
Stable, trained annotators assigned to your project — not freelancer pools.
🔍
Multi-layer QA Workflows
Structured review at every stage with inter-rater reliability benchmarks built in.
🔒
Secure Data Handling
Data privacy and security controls aligned with enterprise and regulatory standards.
⚡
Rapid Scalability
From pilot to production volume — we scale annotation capacity quickly and reliably.
Let's power your data pipeline
If you are building AI models and require high-quality training datasets, our team is ready to support your data operations from day one.
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