Find the trusted path to the person you need.
Superconnector combines LinkedIn exports, email and calendar metadata, and enterprise directories into a living people graph — helping teams find credible warm introduction paths without reading private message content.
Live: Achieved in a production deployment.
36M+ profiles
Search universe
Up to 3 hops
Path depth
LinkedIn + mail + calendar
Data sources
Never required
Message bodies
The challenge
The strongest route to a customer, partner, expert, or investor often already exists inside an organisation's network. Static contact lists do not show relationship strength, shared context, or who can make a credible introduction.
How it works
Superconnector builds a permission-aware graph from professional connections and interaction metadata. Teams search by role, industry, expertise, and fit, then receive explainable two- or three-hop paths, mutual connections, and timely relationship nudges.
Outcomes
- Warm introduction paths surfaced across individual and team networks
- Relationship context stays current through governed enrichment
- Privacy-aware ingestion uses headers and attendees rather than message bodies
- Dormant high-value relationships are surfaced before they disappear
Capabilities
Living people graph
Maps people, companies, roles, and relationship strength into a searchable trust network.
Warm-path discovery
Explains the best mutual-connection route instead of returning another cold prospect list.
Team network intelligence
Combines approved organisational sources while preserving user and tenant boundaries.
Relationship nudges
Highlights valuable connections that are cooling and suggests a timely next touch.
Workflow
- 1
Connect
Import approved network, directory, email, and calendar metadata.
- 2
Map
Resolve people and organisations into a living relationship graph.
- 3
Find
Search by role, expertise, sector, and fit to rank trusted paths.
- 4
Introduce
Review mutual context and request the right warm introduction.
Platform stack
Deployment: Dedicated multi-tenant web application using NeuroCluster inference and embedding services.
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