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Trale

Trale is an AI-powered meeting assistant that automates pre-meeting research, real-time transcription, and post-meeting summarization. It streamlines workflows by generating meeting summaries and drafting follow-up emails, with optional CRM integrations for enhanced productivity.

Oslo, NorwayFounded 20244700+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Professionals spend significant time on manual tasks surrounding meetings, including research, note-taking, summarization, and updating customer relationship management (CRM) systems. This overhead detracts from core responsibilities and can lead to missed action items or incomplete follow-up.

Solution

Trale is an AI-powered meeting assistant designed to automate the entire meeting lifecycle. It provides automated pre-meeting research on participants and companies, ensuring users are well-prepared. During meetings, Trale joins calls to transcribe discussions and capture key details. Post-meeting, it generates structured summaries and draft follow-up emails, which can be customized via prompts to match specific tones and styles. The platform also offers optional, automated CRM updates for systems like Salesforce, HubSpot, and SuperOffice, streamlining post-meeting workflows.

Target Audience

The primary target audience includes sales professionals, account managers, and business development representatives who conduct frequent meetings and require efficient preparation, note-taking, and follow-up processes.

Features

  • Automated pre-meeting research, including participant background and common ground identification.
  • Real-time meeting transcription with AI-driven capture of key details.
  • AI-generated meeting summaries with customizable output via user-defined prompts.
  • Automated drafting of follow-up emails based on meeting content.
  • Direct integration for updating CRM systems such as Salesforce, HubSpot, and SuperOffice.
  • Calendar integration for seamless meeting scheduling and participation.
  • End-to-end data encryption (AES-256) and TLS for data in transit.
  • Commitment to EU data residency and SOC 2 certified hosting for enhanced security.
  • Assurance that meeting data is not used for AI model training, ensuring data privacy.
This profile is AI-generated and may contain inaccuracies.