
Atomic Reach
CONTENT AI FOR PERFORMANCE MARKETING.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
investor investor | €0.0 | round | |
N/A | $952k | Late VC | |
Total Funding | 000k |
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Atomic Reach was established in 2012 by Bradley Silver, who aimed to use artificial intelligence to enhance content marketing. The company developed a content intelligence platform to help marketers create more effective communications. In 2021, Atomic Reach was acquired by RAD Intel (then known as RAD AI), a marketing technology company founded in 2018 by Jeremy Barnett and Bradley Silver. Following the acquisition, Silver became the President of RAD Intel, contributing his expertise from Atomic Reach to the merged entity. Barnett, a three-time founder, serves as the CEO, drawing from his experience in navigating the challenges of bringing disruptive products to market.
RAD Intel operates as an AI-driven marketing platform that provides creative and influencer intelligence for brands and agencies. The company's business model is centered on providing data-driven insights to help clients make informed marketing decisions, particularly within the creator economy. Revenue is generated through managed services for influencer campaigns, where clients can pilot projects with minimum budgets and then scale to larger, retainer-based models. The company serves a range of clients, including major brands like Hasbro, Skechers, and MGM, across various sectors such as entertainment, healthcare, e-commerce, and hospitality.
The core of RAD Intel's offering is its AI platform, which evolved from Atomic Reach's technology. This platform leverages machine learning and natural language processing to analyze content and audience data. One of its key features is the proprietary "RAD Score™," which evaluates and ranks content and influencers to predict performance. The system analyzes vast datasets, including information from over 24.9 million influencers and more than 600 API partners, to provide recommendations on content strategy and influencer selection. This enables clients to develop marketing campaigns with a higher likelihood of engagement and return on investment by aligning content with specific audience interests and characteristics.
Keywords: content intelligence, influencer marketing, AI marketing, creative intelligence, content optimization, audience insights, marketing analytics, brand storytelling, digital marketing, ROI-based marketing, machine learning, natural language processing, data-driven marketing, content performance, influencer discovery, marketing automation, personalized marketing, campaign optimization, creator economy, brand engagement