Data Collection & Annotation
Text Data
Collection, cleaning, classification and annotation for NLP and LLM training.
Speech Data
Conversational, clinical and domain speech collection and transcription.
Video & Image Data
Object detection, scene recognition and video localization annotation.
Maps & Geospatial
Satellite and aerial imagery annotation for geospatial AI models.
Sensor Data
Motion, inertial and environmental sensor data collection and fusion labeling.
Healthcare Data
Consent-based clinical and healthcare data collection.
Training, Deployment & Evaluation
Custom Model Training
Training or adapting a model on your own data.
LLM Fine-Tuning
Domain adaptation with genuinely native multilingual data.
AI Agent Development
Scoped-workflow agents with designed escalation paths.
Off-The-Shelf Models
Honest model selection, evaluation and deployment support.
Healthcare AI Models
Data, training and evaluation support - not a diagnostic product.
Search & Evaluation
Human evaluation for search, recommendation and model output.
See This Applied To Real Applications
Not sure which service or modality fits your project? The Use Cases hub shows how this work applies to streaming translation, autopilot perception, clinical AI, robotics and more.
United States & Canada
See Locations for AI hubs Hybrid Lynx serves across both countries.
Service Questions
Which service should I start with?
If you need training or evaluation data, start with Data Collection & Annotation. If you already have data and need a model built or adapted, start with Custom Model Training or LLM Fine-Tuning. Not sure? Share your project on the contact page and Hybrid Lynx will help scope it.
Can these services be combined into one project?
Yes. Most projects span more than one service - for example, data collection feeding directly into custom model training and then evaluation. Scope is defined per project, not restricted to one service at a time.
Does Hybrid Lynx pretrain foundation models from scratch?
No. Custom Model Training and LLM Fine-Tuning are training and adaptation on a defined dataset and task, not open-ended foundation-model pretraining.
What is the typical project timeline?
Timeline depends on data volume, complexity and service type. Share your project details through the contact page for a scoped timeline.