Nfinite.ai Collaborates with Getty Images to Bring 2D Visual Content into the 3D, Physical AI Era

Rhea-AI Summary

Nfinite.ai and Getty Images (GETY) announced a strategic collaboration on January 13, 2026 to convert selected 2D content into high-fidelity 3D datasets for training spatially-aware AI. The partnership gives Nfinite.ai on-demand access to Getty Images' creative library to generate structured 3D assets with geometry, materials, lighting, spatial relationships, and camera parameters.

Targeted uses include scene understanding, object detection, embodied robotics simulation, multimodal generative models, and photorealistic synthetic data, with an emphasis on responsibly sourced, copyright-respecting data.

Positive

• On-demand access to Getty Images creative library for 3D conversion
• Creates structured 3D assets with geometry, materials, lighting, and camera parameters
• Supports training for scene understanding, object detection, and embodied AI
• Aims to alleviate shortage of responsibly sourced, high-quality spatial AI data

Negative

• None.

News Market Reaction

-0.77%

1 alert

-0.77% News Effect

On the day this news was published, GETY declined 0.77%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Reality Check

Price: $1.30 Vol: Volume 1,435,317 is below...

low vol

$1.30 Last Close

Volume Volume 1,435,317 is below the 20-day average of 2,074,482, suggesting limited pre-news positioning. low

Technical Shares at $1.30 were trading below the $1.76 200-day MA and sat 59.5% under the 52-week high.

Peers on Argus

Peers were mixed: SSTK (-2.01%), ANGI (-5.8%), CARS (-0.08%), while FVRR rose 0....

Peers were mixed: SSTK (-2.01%), ANGI (-5.8%), CARS (-0.08%), while FVRR rose 0.61% and TBLA was flat. GETY was unchanged, indicating this AI partnership is company-specific rather than part of a clear sector rotation.

Historical Context

5 past events · Latest: Jan 08 (Positive)

Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Jan 08	Platform launch	Positive	+0.0%	Launch of Access by Getty Images real-time licensing platform.
Dec 15	Marketing trends	Positive	-0.7%	Release of 2026 Visual Marketing Trends research and guidance.
Dec 03	Brand showcase	Positive	-0.7%	2025 Year in Review highlighting major global visual coverage.
Dec 02	Brand partnership	Positive	+0.7%	Culture@ campaign partnership with BLACK PEARL and Canon.
Nov 12	Event coverage	Positive	-2.4%	Announcement of coverage plans for Milano Cortina 2026 Olympics.

Pattern Detected

Recent news around partnerships and branding has often met with muted or negative price reactions, even when operationally positive.

Recent Company History

Over the past two months, Getty Images has focused on product innovation, brand positioning, and marquee event coverage. A Dec 2, 2025 partnership campaign and the Jan 8, 2026 Access by Getty Images launch highlighted new distribution and monetization angles, while the Milano Cortina 2026 Olympics and 2025 Year in Review underscored editorial reach. Despite generally constructive narratives, several of these updates saw negative or flat 24-hour price reactions, suggesting investor skepticism or limited near-term financial visibility around such announcements.

Market Pulse Summary

This announcement highlights a strategic collaboration that taps Getty Images’ 2D creative library t...

Analysis

This announcement highlights a strategic collaboration that taps Getty Images’ 2D creative library to generate high-fidelity 3D datasets for spatially aware AI. It ties into a recent stream of product and partnership news, from entertainment-focused platforms to major event coverage, underscoring a push to align content with emerging AI use cases. Investors may watch for concrete metrics such as usage, licensing structures, or follow-on deals that clarify how such AI partnerships translate into revenue and strengthen Getty Images’ competitive position.

Key Terms

physical ai, scene understanding and spatial reasoning, object detection and segmentation, embodied ai, +4 more

8 terms

physical ai technical

"provider of large-scale, high-performance 3D visual datasets for the training of Physical AI"

Physical AI combines artificial intelligence with physical devices or environments, enabling machines to interact with and adapt to the real world in a human-like way. It matters to investors because it can lead to smarter robots, autonomous vehicles, or advanced sensors that improve efficiency and open new markets, potentially creating significant business opportunities and competitive advantages.

scene understanding and spatial reasoning technical

"required to train AI systems in:Scene understanding and spatial reasoningObject detection"

Scene understanding and spatial reasoning is a system’s ability to 'see' an environment, identify objects and their relationships, and build a mental map of where things are and how they move. For investors, this capability is important because it underpins products like autonomous vehicles, warehouse robots, and smart imaging—improving reliability, cutting operating costs, and shaping competitive advantage and regulatory risk much like giving a machine both eyes and a map so it can navigate and act safely.

object detection and segmentation technical

"train AI systems in:Scene understanding and spatial reasoningObject detection and segmentationEmbodied AI"

Object detection and segmentation are computer vision tasks that find items in images or videos and then mark their exact outlines or pixels. Think of it as both spotting every object in a photo (like finding every car in a parking lot) and drawing precise boundaries around each one so a machine knows exactly what and where each item is. For investors, these capabilities drive products from autonomous vehicles to quality control and analytics, affecting revenue potential, competitive advantage, and regulatory risk for companies that use or sell visual AI.

embodied ai technical

"train AI systems in:Scene understanding and spatial reasoningObject detection and segmentationEmbodied AI and robotics"

Embodied AI is artificial intelligence built into a physical device or robot that can sense, move, and interact with the real world rather than just run in software on a server. For investors, it matters because adding a “body” turns AI into products that require manufacturing, maintenance, sensors and software updates, creating different revenue streams, capital needs, safety and regulatory risks, and clearer paths to recurring service income—like software that also sells the hardware it runs on.

multimodal generative models technical

"simulationMultimodal generative models (e.g. text-to-3D, video synthesis)Photorealistic rendering"

Multimodal generative models are AI systems that can understand and create different kinds of content — such as text, images, audio or video — all in one tool. Think of them as a storyteller who can also paint and score music: they turn various inputs into new outputs. For investors, they matter because they can lower content costs, enable new products and services, and shift competitive advantages or regulatory risks across industries.

text-to-3d technical

"Multimodal generative models (e.g. text-to-3D, video synthesis)Photorealistic"

Software that turns a written description into a usable three‑dimensional model or scene, creating shapes, textures and spatial layout from plain-language prompts. Investors care because it can sharply reduce time and cost to produce digital assets for games, virtual reality, e-commerce and product design—like asking a sculptor to instantly craft an item from a written request—potentially boosting margins, speeding product cycles and opening new content-driven revenue streams.

photorealistic rendering technical

"video synthesis)Photorealistic rendering and synthetic data augmentationBy leveraging"

Photorealistic rendering is a computer-generated image or animation that looks like a real photograph because it accurately simulates light, materials and perspective. For investors, it matters because these lifelike visuals can speed product development, improve marketing and user experience, and reduce costly physical prototypes—factors that can raise sales, lower expenses and affect a company’s competitive value. Think of it as a photo of a product that hasn’t been made yet.

synthetic data augmentation technical

"video synthesis)Photorealistic rendering and synthetic data augmentationBy leveraging"

Synthetic data augmentation is the practice of creating artificial but realistic data to expand or diversify a dataset used for training algorithms or testing systems. Like a flight simulator giving pilots more varied practice scenarios, it helps companies improve product performance, speed development, and reduce reliance on scarce or sensitive real-world data, which matters to investors because it can lower development costs, shorten time to market, and reduce regulatory or privacy risks.

AI-generated analysis. Not financial advice.

Nfinite.ai to convert content from Getty Images' vast creative library into high fidelity 3D datasets able to power the next generation of spatially intelligent AI

SAN FRANCISCO, Jan. 13, 2026 /PRNewswire/ - Nfinite.ai, a provider of large-scale, high-performance 3D visual datasets for the training of Physical AI, today announced a first-of-its-kind strategic collaboration with Getty Images, a preeminent global visual content creator and marketplace. The collaboration will enable the transformation of select content from Getty Images' extensive creative library of 2D imagery into high-fidelity 3D scenes, enriched with physical context, able to power the next-generation of spatially-aware artificial intelligence systems.

The partnership marks a significant step forward in bridging the gap between traditional visual media and the data infrastructure required to build and train spatially-aware, multi-modal AI models able to perceive, understand, and interact with the physical world autonomously.

"We're pleased to work with the team at Nfinite.ai to support the development of responsibly sourced, high-quality 3D and physical AI training capabilities." said Peter Orlowsky, SVP of Strategic Development at Getty Images. "By providing a curated set of quality creative content, we're helping simplify and strengthen the way next-generation models are trained. We look forward to seeing how this work enables more accurate and impactful AI applications."

From Pixels to Physical Intelligence: Enabling AI Systems That Understand the Real World

Through this collaboration, Nfinite.ai will receive on-demand access to Getty Images' creative library, allowing selected images and visuals to be transformed and enriched from 2D into 3D assets — including object geometry, material properties, lighting conditions, spatial relationships, and camera parameters. These structured 3D datasets provide the rich and highly detailed environmental context and multimodal grounding required to train AI systems in:

• Scene understanding and spatial reasoning
• Object detection and segmentation
• Embodied AI and robotics simulation
• Multimodal generative models (e.g. text-to-3D, video synthesis)
• Photorealistic rendering and synthetic data augmentation

By leveraging Getty Images' vast creative library, the collaboration directly addresses one of AI's biggest bottlenecks: the shortage of responsibly sourced, high-quality data available to train highly-sophisticated, spatially intelligent models.

"AI models can only be as good as the data they learn from," said Alex de Vigan, CEO at Nfinite.ai. "Getty Images is an iconic brand with one of the richest visual libraries in the world. With our platform, we're turning that wealth of flat pixels into data that can supercharge AI, enabling models to understand depth, scale, and context, which are the building blocks of real-world intelligence."

Driving Industry Standards for Visual AI

As foundation models grow in capability, and in the volume and diversity of data they require, structured visual datasets are becoming a critical component of the AI training pipeline. Via its work with Getty Images and other leading visual creators, Nfinite.ai aims to advance this transformation by creating high-quality, responsibly sourced, and copyright-respecting data that balances both scale with utility.

About Getty Images

Getty Images (NYSE: GETY) is a preeminent global visual content creator and marketplace that offers a full range of content solutions to meet the needs of any customer around the globe, no matter their size. Through its Getty Images, iStock and Unsplash brands, websites and APIs, Getty Images serves customers in almost every country in the world and is the first-place people turn to discover, purchase and share powerful visual content from the world's best photographers and videographers. Getty Images works with almost 600,000 content creators and almost 360 content partners to deliver this powerful and comprehensive content. Each year Getty Images covers more than 160,000 news, sport and entertainment events providing depth and breadth of coverage that is unmatched. Getty Images maintains one of the largest and best privately-owned photographic archives in the world with millions of images dating back to the beginning of photography.

Through its best-in-class creative library and Custom Content solutions, Getty Images helps customers elevate their creativity and entire end–to–end creative process to find the right visual for any need. With the adoption and distribution of generative AI technologies and tools trained on permissioned content that include indemnification and perpetual, worldwide usage rights, Getty Images and iStock customers can use text to image generation to ideate and create commercially safe compelling visuals, further expanding Getty Images capabilities to deliver exactly what customers are looking for.

For company news and announcements, visit our Newsroom.

About Nfinite.ai

Nfinite.ai specializes in delivering scalable, structured visual datasets — including images, videos, and 3D environments — optimized for training advanced AI systems. The company's platform converts 2D visuals into physically-based 3D scenes enriched with semantic and spatial metadata, accelerating the development of AI models with real-world reasoning capabilities.

View original content to download multimedia:https://www.prnewswire.com/news-releases/nfiniteai-collaborates-with-getty-images-to-bring-2d-visual-content-into-the-3d-physical-ai-era-302658464.html

SOURCE Nfinite

FAQ

What did Nfinite.ai and Getty Images announce on January 13, 2026 regarding GETY?

They announced a strategic collaboration to convert selected Getty Images 2D content into high-fidelity 3D datasets for spatially-aware AI training.

How will Getty Images content be transformed under the GETY collaboration with Nfinite.ai?

Selected images will be enriched into 3D assets including object geometry, material properties, lighting, spatial relationships, and camera parameters.

Which AI use cases does the Nfinite.ai and Getty Images (GETY) partnership target?

Use cases include scene understanding, spatial reasoning, object detection and segmentation, embodied robotics simulation, multimodal generative models, and photorealistic rendering.

Does the collaboration claim to address data sourcing concerns for GETY-related AI training?

Yes; the partnership emphasizes creating responsibly sourced, copyright-respecting, high-quality 3D datasets to address data shortages for spatial AI.

Will Nfinite.ai have continuous access to Getty Images' library under the January 13, 2026 announcement?

Nfinite.ai will have on-demand access to a curated set of Getty Images creative content to transform selected visuals into 3D datasets.

What immediate benefits could investors expect from the GETY and Nfinite.ai collaboration?

The announcement highlights potential technology and data-asset expansion that could enable the training of more spatially-aware AI models, but no financial terms or revenue guidance were disclosed.