Asksoca provides an AI-powered platform that builds a professional profile from a user's online activity and uses conversational prompts to understand their networking goals. It then matches them with relevant contacts and generates context‑rich introduction messages, continuously improving recommendations through feedback on past introductions.
Funding
Funding not disclosed
Founders
Product
Problem
Professionals often struggle to identify and connect with the right contacts at the right time, leading to missed opportunities and inefficient networking. Traditional introductions rely on manual research, guesswork, or existing relationships, which can be time‑consuming and lack contextual relevance.
Solution
Soca is an AI‑driven decision engine that helps users make warm, context‑rich professional introductions. By aggregating a user's online presence, the platform builds a profile of their career history, goals, and current challenges. Users can converse with Soca about their professional journey, and the AI reasons over this information to recommend the most relevant contacts. When a match is found, Soca generates an introduction message that explains why the connection makes sense, facilitating trust and increasing the likelihood of a successful interaction. Feedback from completed introductions feeds back into Soca’s model, continuously improving its social intelligence and trust signals.
Target Audience
Primary users are mid‑career professionals, job seekers, and entrepreneurs who need targeted networking assistance, as well as corporate talent or business development teams seeking efficient internal and external introductions.
Features
- AI profiling that extracts professional data from a user's online activity to create a comprehensive career snapshot
- Conversational interface that lets users describe their goals, obstacles, and networking needs
- Contextual matching algorithm that identifies the most relevant contacts based on shared interests, reputation, and network overlap
- Automated introduction generation with clear rationale for the connection, enhancing credibility
- Feedback loop that incorporates outcomes of introductions to refine trust scores and recommendation accuracy