Oriane lands $2M to decode the social video firehose
Oriane, an emerging AI startup, has raised $2 million in funding led by global early-stage investor Antler US. The company is preparing to launch its multimodal AI search engine on March 31, targeting the fast-growing universe of social video where traditional, text-based tools fail to keep up.
Positioning itself as an intelligence layer for the video-first internet, Oriane focuses on short-form platforms where over 91% of traffic is driven by video content. Instead of relying on captions or manual tagging, the platform “watches” videos directly, extracting visual, audio, and contextual signals that brands can search, analyze, and track at scale.
Serving beauty and luxury brands drowning in creator content
The startup is already working with high-profile clients, including global beauty and luxury leaders such as Dior and Estée Lauder. These brands face a constant challenge: millions of creator-led videos mention, feature, or compare their products, but most of that activity remains invisible to conventional analytics tools that depend on text or hashtags.
By deploying advanced multimodal AI models, Oriane aims to detect products on screen, interpret spoken references, and understand creative formats and trends. This allows marketing and insights teams to identify emerging creators, track authentic product usage, monitor brand perception, and benchmark against competitors across platforms.
Filling the text-blind spot in video-first marketing
As brands shift more spend into influencer marketing and social commerce, the lack of structured visibility into video conversations has become a strategic blind spot. Oriane positions its technology as a way to fill that gap, turning unstructured video streams into actionable, searchable intelligence.
With backing from Antler US and a clear focus on video-native discovery, the company is betting that the next wave of marketing analytics will be built not on text, but on systems that can truly see and listen to what is happening across social platforms in real time.