Series operates as an AI-powered social network designed to facilitate connections between users. The platform utilizes artificial intelligence to match individuals based on shared interests and professional alignment. This focus on intelligent matching aims to create a more relevant and effective social networking experience.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional professional networking platforms often prioritize superficial metrics and broad outreach, leading to diluted connections and missed opportunities. Users struggle to find relevant, high-quality introductions within their existing networks, relying on chance encounters or impersonal cold outreach.
Solution
Series is an AI-powered social network designed to facilitate meaningful professional connections through intelligent introductions. By analyzing user-provided event data, Series' AI agents identify individuals with strong existing relationships and facilitate "warm intros" via iMessage. This approach bypasses the noise of traditional social media, focusing on curated connections based on mutual value and shared networks. The platform aims to streamline the process of finding mentors, collaborators, and other valuable professional contacts by leveraging AI to navigate and activate personal networks.
Target Audience
The primary target audience includes students and young professionals seeking to build their professional networks, as well as entrepreneurs looking for collaborators, mentors, and investors.
Features
- AI-driven "AI Friends" that analyze user-provided calendar data to identify potential connections.
- Facilitation of "warm introductions" through iMessage, simulating personal recommendations.
- Focus on mutual value and existing network relationships rather than follower counts or public metrics.
- User profiles are built through conversational AI interactions.
- Expansion plans to target various life domains beyond professional networking, including dating, education, and health.
- Commitment to user privacy with no storage of calendar data and no use of data for AI model training.
- Adherence to Google User Data Policy, including Limited Use requirements for Workspace API data.