Tenur is a voice‑first relationship intelligence platform that lets professionals capture meeting details by speaking, automatically transcribing, enriching contacts with role, company and LinkedIn data, and storing everything securely. The searchable database lets users query their network by name, topic, or any remembered detail, and the AI drafts follow‑up messages in the user’s own tone, helping super‑connectors stay memorable and act on opportunities without manual note‑taking.
Funding
Funding not disclosed
Founders
Product
Problem
Professionals who rely on personal networks—founders, investors, realtors, sales leaders—lose valuable relationships because human memory and manual note‑taking are limited. Important details, follow‑ups, and context are often forgotten, leading to missed opportunities and weakened connections.
Solution
Tenur offers a voice‑first relationship intelligence platform that captures conversation details instantly through spoken input. After a meeting, users dictate a summary, which Tenur transcribes, extracts key information, and enriches contact profiles with role, company, and LinkedIn data automatically. The enriched data is searchable, allowing users to query their network by name, topic, or any remembered detail. Tenur also generates AI‑drafted follow‑up messages that match the user’s personal tone and sets contextual reminders to prompt timely outreach. All data is stored privately, synced across iPhone, desktop, and Chrome, and can be exported or deleted at any time.
Target Audience
Tenur is designed for founders, venture capitalists, realtors, sales leaders, and other super‑connectors who manage large professional networks and need reliable, low‑friction tools to remember and act on relationship context.
Features
- Voice capture that transcribes meeting notes and attaches them to the correct contact without manual entry
- Automatic enrichment of contacts with role, company, location, and LinkedIn information
- Full‑text search across all recorded conversations to locate people or topics by any remembered detail
- AI‑generated follow‑up messages that replicate the user’s writing style, tone, and preferred emojis
- Contextual reminders that surface at the right moment based on past commitments and relationship activity
- Duplicate detection and merging to maintain a clean, unified contact database
- End‑to‑end encryption ensuring that relationship data remains private and under the user’s control