Your models deserve
better data
We help AI teams get clean and unique photo and video data for training generative models and computer vision systems — tailored to your real-world use cases.
No sales pressure — just a quick conversation to see if we can help.
Your models are only as good as your data
Most AI teams don't struggle with building models — they struggle with finding the right data.
Open-source datasets are overused, outdated, or misaligned with your niche.
Generic stock photos and videos don't reflect your real scenarios, objects, or environments.
Internal data is hard to collect, annotate, and make legally safe for training.
Off-the-shelf datasets rarely match your edge cases — unusual angles, rare combinations, specific lighting, or motion.
As a result, you waste time patching datasets together, debugging weird model behavior, and explaining to stakeholders why "it works on paper, but not in production".
What GemFrame does
We provide unique, scenario-specific photo and video datasets so that your models see the world the way your product needs them to.
We superpower generative AI, computer vision, and robotics teams
Generative AI
Training data for specific styles, demographics, or scenarios that public datasets don't cover. Clean provenance, clear licensing.
Computer Vision & Robotics
Real-world edge cases your model actually needs — weather conditions, lighting variations, unusual object combinations, and diverse human appearances.
Pose Estimation & Movement
Multi-angle video of exercises, movements, and actions across diverse body types, ages, and abilities.
Autonomous Systems
Scenario-specific data from real cities, traffic conditions, and target environments.
Photo, video, and more — uniquely tailored to your use case
Photo datasets
Still images with consistent scenarios, objects, backgrounds, or styles — all ready for training or fine-tuning.
Video datasets
Short and long clips with controlled motion, angles, and environments — ideal for temporal models and video generation.
Custom shoots on demand
If your use case is specific (location, actors, hardware, environment), we design and execute custom data collection.
Structured metadata & annotations
Clear file structure, metadata, and — where needed — basic annotation or segmentation, agreed in advance.
From idea to dataset in four steps
Use-case call
20–30 minutes
We clarify your task: model type, scenario, constraints, data volumes and legal requirements.
Data concept & scope
We propose a concrete dataset concept: example scenes, volumes, formats, delivery schedule and licensing options.
Collection & quality checks
We assemble from existing resources or organise a custom shoot, then run quality checks agreed with you.
Delivery & iteration
You get a test subset first. Based on your feedback, we adjust and then deliver the full dataset.
No one-size-fits-all packs. Every project starts from your actual model and use case.
Why teams choose GemFrame
Real-world alignment
We prioritise scenarios and edge cases that actually matter for your product — not just pretty images.
Legal clarity
We design collection and licensing with training usage in mind from day one, so your legal and compliance teams sleep better.
Focused scope, not chaos
Smaller, more relevant datasets often outperform massive but noisy collections. We help you define that sweet spot.
Human communication
Direct access to our team throughout the process — clear and transparent collaboration.
Start with a test dataset
A small, well-defined pilot to make sure we're a fit before scaling.
Our approach:
- Start with a pilot project: a clearly scoped dataset for one use case.
- Define pricing based on volume, complexity, annotation, and licensing.
- Keep the initial scope small enough to de-risk, but large enough to be meaningful.
Typical structures include:
Frequently asked questions
We design collection and licensing specifically for training use cases. The exact guarantees depend on your jurisdiction and requirements, and are always documented in the contract. If we can't meet your legal criteria, we'll say so upfront.
In some cases, yes. Exclusivity affects how we design the shoot and the licensing model, and will be reflected in the pricing. We can discuss this during the first call.
Potentially — but only under strict constraints. We do not handle protected personal data without proper anonymization, approvals, and legal review on your side. In some cases, we may decline such projects.
It depends on the task. For many real-world problems, a smaller but well-targeted dataset outperforms huge generic collections. We define the optimal volume together with your team.
Tell us what your model
needs to see
If you're looking for better data for your model — or just tired of patching together half-relevant datasets — we should talk.