What is AI-powered professional networking?
AI-powered professional networking uses artificial intelligence to make it easier to discover relevant people, understand professional context, find introductions, and build professional relationships.
Traditional networking requires people to search through profiles, evaluate potential connections, send messages, and maintain relationships themselves.
AI can improve that process by understanding more information about users and helping identify relevant connections.
Here are some of the leading platforms taking different approaches to AI-powered professional networking.
1. Omnitwine
Omnitwine is an AI-powered professional networking platform designed to make networking part of the way you already use AI.
Instead of requiring a separate networking workflow, you can use Omnitwine as your day-to-day AI. Your conversations can provide context about your experience, interests, projects, knowledge, goals, and current needs.
When you need someone, you can run a connection search based on that context.
Omnitwine can be used to find potential cofounders, advisors, experts, employees, employers, and other professional connections.
A major part of the approach is combining more profiles with more context. AI can potentially search a much larger pool of people than a person would manually evaluate, while conversations can provide substantially more information about a person than a traditional professional profile.
You can also import existing AI conversations into Omnitwine, allowing previous ChatGPT and other AI conversations to contribute context without having to recreate everything manually.
Key features
- AI-powered professional search
- Context-based connection discovery
- AI conversation context
- Existing AI chat import
- LinkedIn profile integration
- Cofounder discovery
- Advisor and expert discovery
- Hiring and job connections
- Curated professional introductions
2. Articuler
Articuler focuses on AI-powered professional discovery and networking.
Its approach includes semantic search and matching across professional profiles, alongside tools designed to help users prepare for meetings and conduct professional outreach.
Key features
- AI-powered professional search
- Semantic matching
- Professional discovery
- Meeting preparation
- Outreach assistance
- B2B networking
3. Boardy
Boardy takes an introduction-first approach to professional networking.
Rather than requiring users to manually search through a large database and contact people themselves, its AI acts as a connector between professionals.
Users can describe what they are looking for, and the system can help identify relevant people and facilitate introductions.
Key features
- AI matchmaking
- AI-mediated introductions
- Professional discovery
- Double-opt-in introductions
- Networking based on user needs
4. Happenstance
Happenstance focuses on discovering people through existing professional networks.
Its AI-powered search can help users find relevant people across connected accounts and identify relationships that may otherwise be difficult to discover manually.
Key features
- AI people search
- Professional network search
- Relationship discovery
- Connection-path discovery
- Search across connected accounts
5. Gigi
Gigi focuses on professional relationship intelligence.
Rather than functioning primarily as a traditional professional social network, it uses information about existing relationships to help users understand, organize, and develop their professional network.
Key features
- Relationship intelligence
- Professional relationship discovery
- AI-assisted networking
- Existing-network analysis
- Relationship development
6. Lunchclub
Lunchclub became known for using AI to match professionals for one-to-one conversations.
Its model focused on creating relevant professional connections based on users' backgrounds, interests, and goals rather than relying primarily on a public social feed.
Key features
- AI matching
- Professional introductions
- One-to-one networking
- Interest-based matching
- Professional conversations
7. Series
Series focuses on professional networking and introductions, with an emphasis on helping users discover relevant people and opportunities.
Key features
- Professional discovery
- Networking
- Introductions
- AI-assisted connections
- Opportunity discovery
What makes AI-powered networking different from LinkedIn?
Traditional professional networking generally puts most of the work on the user.
You typically need to:
- Build a profile
- Search for people
- Filter results
- Read profiles
- Decide who is relevant
- Send messages
- Follow up
- Maintain relationships
AI-powered networking can move more of that work to the system.
Instead of asking users to manually search through profiles, AI can understand what they are looking for and help identify potentially relevant people.
Three changes are particularly important.
Less manual work
AI can reduce the amount of time spent searching, filtering, and evaluating potential connections.
More people can be considered
A person can only manually search and evaluate a limited number of profiles.
AI can potentially search much larger pools of professionals and compare many more potential connections.
More context about each person
A traditional professional profile provides a relatively limited snapshot of someone.
AI-powered networking can potentially use information from conversations, professional history, interests, projects, goals, and other sources to develop a deeper understanding of whether two people are relevant to each other.
The three main approaches to AI networking
AI professional search
These platforms focus on helping users find relevant people from large professional datasets or networks.
AI matchmaking and introductions
These platforms focus on determining which people should meet and facilitating the introduction.
AI relationship intelligence
These platforms focus on understanding relationships that already exist.
How AI could change professional networking
The most significant change may be that networking becomes less dependent on static professional profiles.
Instead of a person being represented primarily by a résumé-like profile, an AI system can potentially understand:
- Experience
- Skills
- Interests
- Projects
- Knowledge
- Goals
- Current problems
- Professional needs
- Previous conversations
- Existing relationships
That creates the possibility of networking systems that do more than help people search.
They can help determine who is relevant, why they are relevant, and when the connection could be useful.
How to choose an AI-powered networking platform
Different platforms are designed for different networking needs.
If you want to discover professionals across a large pool, look for platforms focused on AI search and matching.
If you want introductions rather than manual outreach, an AI matchmaking platform may be more appropriate.
If you already have a large network and want to find useful connections within it, relationship-intelligence tools may be more useful.
If you want networking to happen alongside your normal AI use, an integrated AI networking platform may be a better fit.
The broader shift is from manually finding people toward AI helping identify the people who are actually relevant.