High-quality data annotation services for AI training at scale
From Computer Vision to NLP, we deliver quality annotations tailored to your requirements. Our technical expertise, powered by a responsible work model, ensures the reliability of your training data.
Expert annotation teams
Structured quality assurance
Scalable production workflows
High-quality training datasets
What we do
Computer vision
Image, video, object detection, segmentation, classification, key points and tracking for AI model training.
NLP
Text annotation, named entity recognition, classification, and sentiment analysis for NLP models training.
Audio and Speech
Transcription, voice annotation, speaker identification, audio classification, and data preparation for voice AI and audio processing systems.
3D / LiDAR / GIS
LiDAR point cloud annotation, 3D object detection and segmentation, geospatial annotation (GIS), mapping, and dataset preparation for autonomous systems and AI models.
From raw data to training-ready AI datasets
Every project follows a structured workflow designed to ensure quality, consistency, and scalability from setup to final delivery.
1
Setup
Guidelines, tool setup and team onboarding.
2
Calibration
Sample validation and guideline refinement.
3
Pilot
Real-data testing and quality validation.
4
Production
Scaled delivery with continuous QA monitoring.
Learn more about our methodology
Industries we serve
We help organizations across a wide range of industries build reliable AI systems through high-quality data annotation and validation services.
✔Plant Counting
✔Weed Detection
✔Disease Detection
✔Soil Analysis
✔E-commerce
✔Shelf Monitoring
✔Smart Cart
✔Shopper Tracking
✔Radiology
✔Cardiology
✔Dermatology
✔Ultrasound
Agriculture
Retail
Medical
✔Face Attribution
✔Object Recognition
✔Airport security
✔Loss prevention
✔Satellite Imagery
✔Infrared Imagery
✔Natural Disasters
✔Self-driving Cars, autonomous vehicles
✔Driving assistance
✔Damage Analysis
✔Traffic Monitoring
Security
Aerial
Automotive
✔Body Detection/Counting
✔Safety Systems
✔Surveillance and video-protection
✔Maintenance & Preventive Maintenance
✔Detection of deteriorations
✔Event monitoring
✔People and machinery monitoring
✔Action Identification
✔Multi-camera tracking
Government
Industrial
Sports
✔OCR human-reviewed
✔Contract read-proofing
✔NER on contracts and others documents
✔Reading and verifying tables
✔OCR on bank statements
✔OCR on contracts
✔Read-proofing
✔Data augmentation
Bank & Legal
Administration & OCR
MEDIA
How We Ensure Annotation Quality
Delivering high-quality datasets requires more than annotation capacity. Our quality framework combines expert teams, structured workflows, and measurable performance indicators to ensure consistent results at scale.
Read our full guide on maintaining high-quality annotation →
Iterative Learning & Feedback Loops
We go beyond initial briefings by establishing a strategic “Pilot Phase” to calibrate guidelines and real-time feedback loops to resolve complex edge cases.
Tailored Quality Workflows
We implement robust validation methods such as Review, Consensus Voting, or Honeypot (Ground Truth) benchmarks based on project needs.
Quantitative Quality Metrics
We monitor quality using precise KPIs like Accuracy ratios and IoU for geometric precision, ensuring production-ready results.
Nicola Luminari
Head of Data Science at Alteia
Client of People For AI since 2019
“I have a super positive experience with People for AI in general. Unquestionably, they are not only really responsive but also I always get all the answers to my questions very quickly. Additionally, both annotation deadlines and quality is also a top priority for them.”
Try our labeling services
Whether you are a Startup, an NGO, or a global corporation, we offer flexible models adapted to your project’s scale and priority.
Let’s discuss your next AI milestone together.