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Parlametric

The startup offers a platform that transforms text and speech into quantifiable data and actionable insights through cognitive science and data analysis techniques. This enables businesses to enhance their marketing and business analysis processes by efficiently extracting valuable information from diverse digital sources.

Lund, SwedenFounded 2017161K+ followers
Updated 18 months ago

Funding

$390K 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.

IL
Funding rounds are not available yet.

Founders

Product

Problem

Organizations struggle to efficiently extract actionable insights from unstructured text and speech data, such as customer service interactions, survey responses, and social media comments. Traditional analysis methods are often manual, time-consuming, and fail to capture nuanced information within the narrative. This makes it difficult to understand customer needs, identify areas for improvement, and make data-driven decisions.

Solution

Parlametric provides a narrative analytics platform that uses AI and natural language processing (NLP) to transform unstructured language data into quantifiable insights. The platform analyzes text and speech from various sources, including customer service conversations, survey responses, and social media, to identify key themes, sentiments, and emerging trends. Parlametric's "human-in-the-loop" approach combines AI-powered analysis with expert human review to ensure accuracy and reliability. The platform delivers actionable reports and visualizations that enable businesses to understand their audience, optimize operations, and improve customer satisfaction.

Target Audience

Parlametric primarily serves customer service teams, market research firms, and business analysts seeking to extract insights from qualitative data to improve customer experience, optimize business processes, and gain a competitive edge.

Features

  • AI-powered analysis of text and speech data from multiple sources
  • Natural Language Processing (NLP) for sentiment analysis, topic extraction, and trend identification
  • "Human-in-the-loop" methodology combining AI with expert human review
  • Customizable KPI tracking tailored to specific business needs and industries
  • Benchmark comparisons against industry peers to identify areas for improvement
  • Real-time data collection monitoring for surveys
  • Secure data handling and GDPR compliance
  • Portal for accessing and sharing analysis projects
This profile is AI-generated and may contain inaccuracies.