OtherInternal OnlyVerified
Reviewed and published by trentmaziarz, March 18, 2026. Discovered and drafted by our automated research pipeline.
In October 2025, Shutterstock launched a formal B2B suite of "AI Services" that go beyond simply licensing content — offering specialized dataset curation, human aesthetic preference labeling (RLHF-style), annotation, and model evaluation pipelines to AI developers building new models.
Details
Shutterstock's AI Services offering, announced at SF Tech Week in October 2025, delivers custom content and insights designed to align AI models with human preferences and creative intent, expanding Shutterstock's role from passive data provider to active partner in model construction and assessment. The suite includes Creative-Expert Preference Data (professional creatives providing rubric-driven aesthetic judgments for RLHF pipelines), Curation & Annotation Services, and Evaluation & Performance Insights benchmarks. Partners listed include NVIDIA, Meta, OpenAI, and Runway.
Products affected
Shutterstock AI Services
Sources & Evidence
Cite this record
Trace Foundation. (2026). Shutterstock: In October 2025, Shutterstock launched a formal B2B suite of "AI Services" that go beyond simply licensing content — offering specialized dataset curation, human aesthetic preference labeling (RLHF-style), annotation, and model evaluation pipelines to AI developers building new models (data as of 2026-03-18) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/a51ee415-6302-42ed-bd34-9647bdc86d1a. Accessed October 14, 2026.
- Stable link
- https://www.aitrace.org/r/practice/a51ee415-6302-42ed-bd34-9647bdc86d1a
- Data as of
- March 18, 2026
- Last verified
- December 10, 2025
Other practices by Shutterstock
Data AnalysisThrough its 2021 acquisition of three AI companies under the Shutterstock.AI subsidiary (Pattern89, Datasine, and Shotzr), Shutterstock offers AI tools that analyze the visual and compositional elements of ad creatives and predict their performance before a campaign goes live.ModerationShutterstock uses automated AI systems to flag and filter offensive, adult, or policy-violating content from its contributor-submitted library and from AI-generated outputs on its platform. These safeguards also include multi-layered controls to prevent generation of harmful content via its AI tools.RecommendationShutterstock uses a custom-built neural network to power visual similarity search and reverse image search across its entire library, allowing users to find matching content by uploading a photo rather than typing keywords. This applies to both images and video.
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