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Narratic Labs

Narratic provides an AI-driven data platform that automates lead research and analyzes customer interactions to identify risks and recommend next steps for B2B sales teams. This technology enables sales professionals to prioritize high-value opportunities and streamline their engagement strategies, ultimately accelerating deal closures and improving pipeline efficiency.

Founded 20227300+ followers
Updated 4 months ago

Funding

$810K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

B2B sales teams often struggle with pipeline management due to fragmented data, making it difficult to prioritize leads, identify risks, and determine the most effective next steps. Sales professionals spend excessive time on manual research and data analysis, hindering their ability to focus on high-value opportunities and close deals efficiently.

Solution

Narratic AI is an AI-powered platform designed to streamline B2B sales processes by automating lead research and analyzing customer interactions. The platform identifies potential risks within the sales pipeline and recommends specific actions to accelerate deal closures. By providing actionable insights derived from comprehensive data analysis, Narratic AI enables sales teams to prioritize opportunities, optimize engagement strategies, and improve overall pipeline efficiency. The platform's AI agents continuously transform data into insights and actions, capturing customer interactions, automating processes, and providing instant answers to sales questions.

Target Audience

Narratic AI primarily targets B2B sales teams and revenue operations professionals seeking to improve pipeline management, accelerate deal closures, and enhance sales productivity through AI-driven insights and automation.

Features

  • AI-driven analysis of prospect and customer interactions to identify risks and opportunities.
  • Automated lead qualification using industry-standard or custom criteria.
  • Personalized action plans with AI-recommended next steps to move deals forward.
  • Stakeholder engagement analysis to identify key decision-makers and optimize engagement strategies.
  • Time machine feature to access past engagements and relevant information.
  • Roadblocker and objection tracking to understand common issues across the pipeline.
  • Intent signal detection based on first-party data to identify customer interests and needs.
  • Conversation overview using AI-powered analysis of unstructured customer data.
  • Custom job creation for tailored data analysis and action planning.
  • Data capture and process automation to streamline sales workflows.
This profile is AI-generated and may contain inaccuracies.