Speed & scalability
Process large data volumes quickly and scale projects with ease.
AI & ML-assisted annotation
AI and ML-assisted annotation labels data automatically with machine-learning algorithms. It classifies images, tags text, and prepares other data for model training.
Unlike fully manual annotation, it is far faster and scales better, and the algorithms keep improving over time.
Pros and cons
ML- and AI-assisted annotation uses machine-learning algorithms to label data faster and more consistently, balancing automation with quality control.
Data validation
Automated validation improves accuracy and reduces errors for more reliable training data.
Automatic tracking
Tools detect and track objects in video automatically, so you spend less time on manual work.
Diverse ML models
Supports training across many ML models for complex analysis, defect detection, and automated monitoring.
Spotlight on SAM & YOLO
Keylabs runs on SOTA computer-vision models and their latest versions, including YOLO26, SAM 2, and SAM 3.
Why these two models?
Efficacy
SAM and YOLO deliver fast, accurate annotation and handle large data volumes efficiently.
Adaptability
They adapt to different tasks and data, producing consistent, reliable labels across domains.
Custom model integration
YOLO26
You Only Look Once
SAM 2 & SAM 3
Segment Anything Model
+ your model
Bring your own
Other SOTA models
Integration within Keylabs
Keylabs makes it easy to connect your own ML models, with compatibility checks, optimization tools, and parameter tuning, so custom models run stably at full performance.
Applications
Key industries for automated data annotation.
Robotics & Manufacturing
Data annotation for object recognition, navigation, and robot interaction.
Medical & Healthcare
Automatic processing of medical images (MRI, X-ray) to detect anomalies and support diagnostics.
Automotive
Fast and accurate annotation of visual data for autonomous driving systems.
Agriculture
Annotation of drone and sensor data for crop health monitoring and problem detection.
Real Estate
Annotation of images, videos, and 3D tours for property-object and property-feature classification.
Smart Cities & Urban Planning
Analysis of urban data for efficient infrastructure planning.
Sports Applications
Video game processing for player movement analysis, game events, and audience engagement.
Security
Data annotation for video surveillance, threat detection, and security.
Security
At Keylabs, we implement comprehensive security measures to protect data at all stages of working with the platform.
Encryption
We use AES-256 to encrypt data at rest and in transit. All communication is protected by SSL/TLS protocols, which guarantee secure information exchange.
Compliance
We comply with international data protection standards, including GDPR, CCPA, and HIPAA. Regular audits help maintain compliance and continuously improve security.
Access Control
A role-based access control (RBAC) model has been implemented, limiting data access based on user roles. The system also provides constant monitoring and instant response to suspicious actions.
Data Backup & Recovery
Regular data backups to secure storage minimize the risk of loss. In the event of incidents, rapid recovery mechanisms are in place to ensure continuous operation.
Keylabs provides a high level of data protection and infrastructure reliability at every stage of information processing.
A complete tool for data annotation
Quality results from a team of domain experts
Behind the automation is an expert team that reviews and corrects model output, so AI-assisted labels stay accurate across domains.
Data annotation tool pricing
Flexible pricing that scales with automation volume, with bundles and volume discounts set during a demo call.
