Meet IntelEdge

We create any combination of up to 10,000 words to search the entire internet — deep web, dark web, social media, forums and more. All this in more than 40 languages and 180 countries, too. This surpasses traditional web searches which are limited to 32 words or phrases in one language and only on Web 2.0.

Examples

• Brand Monitoring: Monitor online mentions of a brand across various platforms and languages to track brand reputation, identify potential customer issues, and respond to emerging trends or crises effectively.

• Competitive Intelligence: Gather intelligence on competitors by collecting information from news articles, social media conversations, deep web forums, and other sources to gain insights into their strategies, product launches, customer sentiment, and industry trends.

• Market Research: Analyze consumer sentiment and trends related to a particular product or service in different regions and languages by extracting data from diverse online sources, including social media, forums, and news articles, to identify patterns, understand consumer preferences, gauge market demand, and develop effective marketing strategies.

• Threat Intelligence: Gather intelligence on potential threats or criminal activities by searching for information related to illegal activities, extremist groups, or other security risks across multiple languages and sources, including the dark web, to prevent or respond to security threats, identify potential vulnerabilities, or track down perpetrators.

Search the entire internet, Including any visual media related to the subject in question. With the added benefit of IntelEdge's proprietary internal neural network, we can analyze and authenticate still images and videos to verify their authenticity, even detecting any alterations or manipulations.

Compared to VS, regular web searches can only find 32 words or phrases in one language and results are limited to current platforms like Web 2.0. Searching for images or videos is also limited to the name of the person or object shown.

Examples

• Fake News Detection: IntelEdge searches the internet for visual media related to specific subjects or events. The proprietary internal neural network analyzes and authenticates these files to detect fake news or misleading information.

• Image Forensics: Search for images or videos related to criminal investigations and analyzes them. The proprietary internal neural network ensures the integrity of the files and identifies any potential tampering or manipulation.

• Visual Content Analysis: Search for visual media related to specific topics or events. The proprietary internal neural network extracts insights from this content, such as identifying key objects, sentiments, or themes.

• Brand Monitoring through Visual Media: Monitor visual media associated with brands or products. The proprietary internal neural network analyzes and authenticates these assets to maintain brand consistency and mitigate potential reputational risks.

We use natural language processing to extract information from big data sets in order to analyze unfiltered chatter in a structured manner, discovering new insights at a fraction of the cost of polling. We can listen to all the conversations happening all over the web and keep an ear out for anything related to our subjects of interest and then let you know if we hear something important.

Compared to polling, CAP is more cost-effective, not subject to manipulation by those intentionally offering misleading responses, and does not rely on self-identify of respondents for targeting geographic or demographic groups.

Examples

• Social Media Sentiment Analysis: Analyze unfiltered chatter on social media platforms using natural language processing to understand public opinion, monitor customer sentiment towards brand, products, or services, and identify emerging trends in real-time.

• Market Research and Trend Analysis: Gain valuable insights and identify emerging trends at a fraction of the cost of traditional polling methods by leveraging natural language processing to listen to conversations happening across the web and understand consumer preferences, track changing market dynamics, and uncover new market opportunities.

• Crisis and Reputation Management: Monitor online conversations to identify any mentions or discussions related to brand, products, or key personnel, and proactively address potential crises, manage reputation effectively, and respond to customer concerns or issues promptly.

• Competitive Intelligence: Listen for conversations related to competitors, industry trends, or specific products using natural language processing to extract information from big data sets and discover new insights and make data-driven decisions to stay competitive.

Hyper-local Targeting™ (HLT) sharpens geographic searches by including local names of metropolitan areas, cities, townships, villages, hamlets, counties, and streets. This improves search quality for analysts and provides deeper intelligence, as those using the slang or colloquial naming conventions are often the ones closest connected.

HLT is a cost-effective alternative to polling, which can be skewed by the universe of those willing to respond by phone or internet, affected by the writing of questions, and subject to manipulation by those intentionally offering misleading responses. Targeting of geographic or demographic groups also relies on self-identification of respondents.

Examples

• Location-Based Market Analysis: Including local names of metropolitan areas in market analysis improves the quality of search results, allowing analysts to better understand local consumer preferences and identify regional market trends.

• Real Estate and Property Research: Incorporating local names of metropolitan areas in real estate and property research helps analysts discover hidden gems, identify up-and-coming areas, and gain insights into local property market dynamics.

• Law Enforcement and Investigations: Including local names in investigations helps investigators locate specific areas or understand local connections more effectively, enabling them to uncover valuable intelligence by considering the slang or terminology used by individuals closely connected to the area or the activities under investigation.

• Emergency Response and Disaster Management: Including local names of metropolitan areas in emergency response and disaster management improves search results, allowing analysts and responders to identify affected areas, access real-time updates from local sources, and understand colloquial naming conventions or slang used in the context of the disaster, enabling more effective coordination, resource allocation, and response efforts.

Hyper-local Demographics™ (HLD) take the capabilities of Hyper-local Targeting™ and layer up to 400 custom-tailored variables of neighborhood-level demographic datasets to deliver uncommon insight of chatter and sentiment for micro-targeted research and messaging. HLD enables searches as deep as what people in a specific neighborhood, on a specific street, who work in a specific industry, and who earn a specific amount of money might be thinking or saying online.

HLD is much more effective than polling, which is expensive and often skewed by a limited and self-selected universe of participants, subject to manipulation by intentionally misleading responses, and reliant on the self-identification of demographic groups.

Examples

• Micro-target Marketing Campaign: Conduct micro-targeted marketing campaigns by combining it with the ability to extract information from big data sets and analyze unfiltered chatter. For example, a luxury car brand can gain uncommon insight into the thoughts and opinions of their target audience by analyzing chatter from specific micro-targeted segments, enabling them to tailor their messaging and develop highly personalized marketing strategies.

• Neighborhood-Level Market Research: Gain insights into the opinions, aspirations, and challenges faced by individuals living in a specific neighborhood undergoing redevelopment by combining Hyper-local Demographics™ variables with the analysis of unfiltered chatter. This helps inform urban planning decisions and identify community needs.

• Political Sentiment Analysis: Understand the sentiment and political leanings of residents in different neighborhoods during an election campaign by combining neighborhood-level demographic variables with the analysis of unfiltered online chatter. This helps political campaigns design targeted messaging and allocate campaign resources more effectively.

• Customer Insights for Local Businesses: Gain a deeper understanding of target customers by combining Hyper-local Demographics™ variables related to lifestyle, income, and education with the analysis of online chatter. This helps businesses tailor their offerings, develop relevant marketing campaigns, and create a personalized customer experience.

Examine and monitor your organization's infrastructure for weaknesses, vulnerabilities, and active threats using proactive vulnerability assessment, threat intelligence and monitoring, incident response and forensics, and security compliance and auditing. NDI also actively monitors all areas online that may be planning attacks, actively engaging in them, and/or distributing/selling exfiltrated data.

Examples

• Proactive Vulnerability Assessment: Network Defense Intelligence can identify potential vulnerabilities or misconfigurations in an organization's network and systems to patch vulnerabilities and reduce the attack surface.

• Threat Intelligence and Monitoring: NDI identifies emerging threats, malicious actors, and potential attacks targeting an organization's infrastructure by monitoring online areas where attacks may be planned, engaged in, or exfiltrated data is distributed or sold.

• Incident Response and Forensics: NDI provides valuable insights into the attack vectors, methodologies, and threat actors involved in a security incident or breach to conduct comprehensive investigations, understand the scope and impact of the incident, and gather evidence for legal proceedings.

• Security Compliance and Auditing: NDI continuously examines and monitors an organization's infrastructure to ensure that security measures align with industry best practices, regulatory requirements, and internal policies and identifies any deviations or non-compliance issues to maintain a strong security posture.