AI Training Data Services

AI Training Data for ML Models, LLMs & Agents

Lightly provides expert training data services for computer vision, LLMs, and custom AI development.

Schedule a call with our team to learn more.

Trusted by entreprises, researchers and startups.

Our Offer

What You Get with Lightly

We guarantee fast turnaround, seamless onboarding, and dedicated Slack & Email support.
Lightly is trusted by Fortune500 companies.

Data Labeling for Computer Vision & LLMs

High-quality labeled datasets for pretraining, fine-tuning, and model evaluation - tailored to your specific use case.

Applications
Computer Vision (CV)
Large Language Models (LLMs)
Multimodal Models (VLMs, etc.)
What we offer
Domain-specific, expertly labeled data at scale
Human-in-the-loop pipelines for complex tasks
Hybrid approaches with unlabeled and synthetic data

RLHF & Human Model Quality Evaluation

Ensure your models meet quality standards with structured human feedback (RLHF) and targeted evaluations.

Applications
LLM Output Evaluation (Model Evaluation)
RLHF
Supervised Fine-Tuning & Red-Teaming
What we offer
Human-labeled evaluation data for complex or ambiguous cases
Side-by-side tasks and completions & specialized teams for 20+ domains
Feedback data designed for RLHF or model iteration cycles

Synthetic Data & Prompt Generation

Accelerate model training with diverse, scalable synthetic datasets. Cover edge cases, and boost performance on domain-specific tasks.

Applications
Synthetic Data Generation for CV & LLMs
Domain-Specific Prompt Generation
Data for Edge Cases & Regulated Industries
What we offer
High-quality synthetic data tailored to your model’s domain
Automated prompt and instruction generation pipelines
Combined synthetic and real data for efficient scaling
Results

Why Leading ML Companies Trust Lightly 
with their AI Training Data

We help teams cut labeling costs, boost model performance, and deploy AI systems faster.

2x
LLM Evaluation Projects Completed
55%
Data Labeling Quality Improvements
4x
Decreased Labeling Effort for Domain-Specific Data

FAQ

Frequent asked questions asked about Lightly AI Data Services

How does Lightly’s data labeling pricing compare to traditional services?

Our smart data selection reduces redundant labeling, meaning fewer annotations, lower costs, and higher quality training data.

All our labelers are based in Europe to ensure highest quality.

What types of data annotation services do you provide?

We offer comprehensive labeling services for LLMs, VLMs, and Computer Vision, including:

✔ Image & video labeling for detection, segmentation, and classification
✔ Text labeling and annotation for LLM training and evaluation
✔ Content labeling for multimodal and VLM pipelines

Our team has experience across industries and task types, ensuring consistent, high-quality annotations.

How does Lightly's model evaluation process compare to other services?

Our evaluation combines human-labeled benchmarks with smart data selection to reduce annotation waste and focus resources where they impact model performance most. We support complex tasks, preference data, and evaluations for LLMs, vision models, and beyond.

How do you maintain quality in your training data services?

We apply automated data curation alongside human quality control to ensure every labeled example contributes to your model’s learning. By filtering out redundant or low-value samples upfront, we maximize dataset quality and model impact.

How do you ensure security and privacy in your data services?

Lightly’s infrastructure supports secure, privacy-preserving data workflows - including on-prem deployments and strict access controls. We are SOC2 compliant.

Explore Lightly Products

Lightly One

Data Selection & Data Viewer

Get data insights and find the perfect selection strategy

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Lightly Train

Self-Supervised Pretraining

Leverage self-supervised learning to pretrain models

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Lightly Edge

Smart Data Capturing on Device

Find only the most valuable data directly on device

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Ready to Get Started?

Discover how we help teams speed up AI development with reliable training data.

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