Intelligence For Robotic & AI Systems Worldwide.

Shaping AI. Made in Your Image.

Pioneering modern data curation and governance protocols for synthetic intelligence advancement.

Real-World and Synthetic Data for:

- Accurate analysis of complex environments and real-world scenarios for training.
- High fidelity and revealing unknown elements for computer vision architecture.
- Infinite variations of known factors.
- Unlimited data to build spatial intelligence applications.
- High quality 3D labelled data.
- Faster to production.
- Diverse behavioural scenarios, enabling models to learn from a wide range of interactions and responses for enhanced adaptability.
- Realistic human interaction simulation.
- Continuous learning and improvement through real world event analysis for adaption of new behaviours and trends.
- Extensive Visual Understanding for more accurate performance tasks.
- Accelerated Development and Versatile Applications.

Emulating human behavioural and biological functions to create more precise humanoid robots and AI applications.

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Use-cases in computer vision:

Object Detection and Recognition: Synthetic data enhances the training of AI models for object detection by providing diverse scenarios, allowing them to identify objects under varying conditions.

Black and white abstract pattern with wave-like geometric shapes.

Automated Cooking Assistance: Assist in the cooking process by recognizing ingredients and guiding users through recipes, ensuring accurate measurements and cooking techniques.

Abstract black and white view looking up a geometric metal structure, with crisscrossing beams and cables forming a spiral pattern.

Health Assessment Automation: AI-driven visual analysis can facilitate non-invasive health assessments, enabling caregivers to track vital signs and health changes without direct intervention.

Black and white aerial view of a river delta with branching channels and tributaries.

Image Segmentation in Medical Imaging: High-quality synthetic data offers pixel-level annotations crucial for image segmentation tasks, significantly improving accuracy in medical imaging applications, such as identifying tumours or anatomical structures.

Abstract close-up of a textured surface with wavy, parallel grooves.

Cognitive Engagement Tools: Computer vision can be used in interactive systems that engage elderly patients through visual stimuli, helping to improve cognitive function and reduce feelings of isolation.

Food Quality Assurance: Computer vision technology automates the inspection of food products for quality control, ensuring consistency and safety by detecting defects or contaminants during processing.

Black and white illustration of a white star with two black silhouettes of planets against a space background.

Forging Human & Machine Synchronicity

High-quality data to power more capable AI through domain observational learning.

Central & decentralized AI training sets with high quality data on demand for model fine-tuning. Learn More
Industry specific action data for machine perception AI system development. Learn More
Powerful models custom designed per industry for specific operation intelligence and real world challenge resolution. Learn More
Facilitate and govern your data transparency in AI model training operations. Learn More
Extract and process data from diverse sources using AI-driven and human-in-the-loop sources. Learn More

Your Trusted Partner for Ethical Data

We’re uniting content creators and AI developers to quantify AI products through new trade ventures. Helping content rights owners license their copyrighted assets to AI engineers. This allows for fair compensation to creators and supplies AI improvement with responsibly acquired data.