Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights. This time, you get to discover 5 hand-picked startups developing social data solutions.
Global Startup Heat Map: 5 Top Social Data Solutions
The 5 startups you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.
The Global Startup Heat Map below highlights the 5 startups & scaleups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 748 companies we analyzed for this specific topic.
Konnect Insights develops a Social Listening & Analytics Platform
The positive brand recognition of a company makes its products and services more favorable to the consumer. As a result, companies constantly look for effective solutions to monitor and measure brand recognition. To help businesses, startups develop social listening and social analytics solutions that unlock access to social data.
Indian startup Konnect Insights offers a platform for social listening, analytics, and publishing to enterprises in finance, healthcare, and retail, among other industries. The startup uses web scraping to retrieve conversation data from news, forums, and social media outlets. Using big data, natural language processing (NLP), and machine learning (ML), Konnect Insights offers companies brand insights, competition analysis, and campaign reports.
Continuon works on Content Optimization
Understanding customers and brand followers allows companies to engage with the community by personalizing content strategies. By clustering social data, startups help organizations identify community dynamics and target various segments according to their interests. Targeted community engagement strategies increase brand recognition and awareness.
South African startup Continuon applies Artificial Intelligence and machine learning algorithms to enable social data analysis. The startup clusters community members according to the social influence they have on a brand. By determining the most vocal supporters, Continuon devises personalized content strategies, increasing advocates’ engagement with the brand.
BLOOM develops Social Inference Technology
Social data analysis finds applications in brand management, trend identification, risk management, as well as within the security and defense sector. Through applying semantic inference to social listening startups identify correlations between content and actors. These correlations determine the sentiment’s spread as well as the scope of attitudes towards it.
French startup BLOOM analyzes social data using social inference technology. The startup’s proprietary algorithms apply a systemic and iterative analytics approach to data discovery and enrichment. BLOOM provides companies with such solutions as new market identification, competitor analytics, reputation risks, communication impact, and brand strategy positioning.
Mnemonic AI creates AI-Powered Buyer Personas
Buyer personas help businesses better understand customer trends by identifying and segmenting common interests, location, and income, among other characteristics. However, manually drafting each type takes a lot of time, which drives companies away from the whole concept. To both increase businesses’ understanding of the customer base and save operational costs, startups apply AI solutions to craft buyer personas.
US-based startup Mnemonic AI develops an AI-powered solution to generate buyer personas. The startup’s tool uses various types of internal and external data from surveys, interviews, web analytics, social media, and reviews. Mnemonic AI helps businesses personify their customers and segment them according to their goals, motivations, and behaviors, enabling more targeted campaigns.
QPage works on Social Recruiting
Social data is a valuable source of people’s aptitude, skills, and past experiences. In order to use the data for recruitment purposes, startups apply social data mining and artificial intelligence to help companies find eligible candidates for open positions. These solutions optimize recruitment operations, helping to recognize and secure superior talent.
Estonian startup QPage develops a recruitment platform based on social data processing. The platform utilizes social intelligence to perform candidates’ psychometric, skill, and aptitude assessments and runs candidate matching AI algorithms. Additionally, the startup offers services such as AI machine-led interviews, job description suggestions, and customizable evaluations for recruitment processes optimization.
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