
Stream Engine
AI-powered media valuation and threat detection platform.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
N/A | €0.0 | round | |
$2.3m | Seed | ||
Total Funding | 000k |
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | - | (10 %) |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Stream Engine provides a sophisticated artificial intelligence service designed to measure and analyze brand recognition and sentiment across streaming and OTT platforms. Launched in September 2020, the company offers a suite of proprietary tools including Complex Vision, Voice Detection, and Chat Sentiment analysis to provide real-time data on brand performance. The platform serves a diverse clientele, including global advertisers in the media industry and organizations within the defense and cybersecurity sectors.
The company was founded by a team with expertise across sports, marketing, media, and technology. The leadership includes CEO Ed Kiernan, a global brand marketer with over 25 years of experience; CFO Ethen Yao, a tech innovator with multiple patents; CTO Qasim Zahir, a machine-learning expert; and COO Brian Kim, an advertising executive and tech entrepreneur. This collective experience informs the company's dual focus on both commercial and governmental applications.
For its advertising clients, Stream Engine's platform analyzes media at scale across OTT, social, and digital channels to uncover competitive insights and provide accurate media valuation. The technology uses 3D motion graphic detection and automated speech detection to track visual and verbal brand mentions. For the defense sector, the platform ingests large datasets to recognize patterns and detect potential threats in real-time across video, audio, text, and still images. This capability is supported by a Cooperative Research and Development Agreement (CRADA) with the Air Force Research Laboratory (AFRL).
Keywords: media valuation, brand recognition, sentiment analysis, artificial intelligence, OTT analytics, streaming analytics, brand safety, defense intelligence, threat detection, computer vision, voice detection, chat analysis, advertising technology, cybersecurity, media intelligence, sponsorship measurement