Limbik utilizes cognitive AI, incorporating deep learning and natural language processing, to assess the credibility and engagement of information across various platforms. The technology protects organizations from reputational, financial, and security threats posed by misinformation and content manipulation.
Funding
$3.9M 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.
Founders
Product
Problem
Organizations face reputational, financial, and security threats from the spread of misinformation and manipulated content across various online platforms. Identifying and mitigating these threats requires accurately assessing the credibility and potential impact of information in real-time.
Solution
Limbik provides a cognitive AI platform that analyzes content from diverse online sources to assess its credibility and potential for engagement. The platform uses deep learning, natural language processing, and data analytics to evaluate metadata features and generate insightful metrics. Limbik's AI models, including Believability and Virality scores, are combined to create a Potential for Impact (PFI) metric, which forecasts how content will perform online. This enables organizations to make data-driven decisions, protect against misinformation, understand audience sentiment, personalize content, and detect emerging threats.
Target Audience
Limbik's primary customers include businesses, non-profit organizations, and government bodies seeking to protect their reputation, enhance engagement, and make data-driven decisions in the face of misinformation and evolving online trends.
Features
- Cognitive AI that simulates human thought processes to solve complex problems related to content credibility and engagement.
- Believability and Virality models to predict the credibility and engagement level of online content.
- Potential for Impact (PFI) metric that combines Believability and Virality scores to forecast content performance.
- Data collection from various sources, including social media, news, and other online platforms, encompassing text, images, audio, and video content.
- Sentiment analysis to understand audience reactions and tailor content accordingly.
- Threat detection capabilities to identify and mitigate false information and protect brand reputation.
- Predictive analytics to forecast audience reactions and identify emerging market trends.