InboxAlly
We work with you to make sure your inbox providers don't send spam emails to your email. In just a matter of weeks, our clients have seen their open rates increase by more than DOUBLE! High-engagement recipients open emails and scroll down as they read. This should be done for almost all emails that are opened, as long as the content is not longer than the page. If a recipient takes an email from spam and goes out of their way, it is telling the inbox provider that they made a mistake. Inbox providers will be able to tell if you move an email from the promotions folder into the primary inbox that you don't agree with their sorting criteria. It and other similar emails should go directly to the primary mailbox. It shows that the recipient is interested in your email content. The inbox provider can interpret this as "This email is extremely important, please do not send it to spam."
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SpamTitan
SpamTitan email security protects businesses, schools, smbs and MSPs from spam. SpamTitan email security protects against spam, phishing, day-zero attacks and viruses, malware, ransomware and other threats to email.
It helps to control mail flow, clean it, protect against spam, and protect against unwanted email. We offer easy-to-use, yet powerful email security for businesses, smbs, and MSPs that is Office365-friendly.
SpamTitan Email Security is available for a free, fully supported trial.
SpamTitan – Premium functionality included
* CEO Impersonation protection
* Spearphishing Protection/ Phishing
* Link analysis
* Full Sanding
* Zero Day Attacks protection
* Mail Spooling
* Spoofing protection
* Ransomware and Malware Protection
* SPF/DKIM/DMARC checking
* Encryption
* Fully multi-tenant environment
* Ability to rebrand entire UI
* Full REST API
* Set up documents and support
SpamTitan Email Security is the best solution in the G2 Crowd Email Security. Start your free trial today!
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Rspamd
Rspamd was developed to manage the significant increase in mail flows over the past decade, which has surged by more than tenfold. From its inception, the project has targeted high-traffic mail systems, prioritizing speed and performance in its development. Written in the C programming language, Rspamd employs various methods to ensure rapid operation, particularly on contemporary hardware. Remarkably, it can also function effectively on embedded devices with limited resources. For a clearer understanding of its impressive speed, you can refer to a recent performance analysis article. Rspamd serves as a more efficient alternative to the SpamAssassin mail filter, capable of scanning ten times the number of messages with the same set of rules through the use of a SpamAssassin plugin. A graph illustrating the transition from SpamAssassin to Rspamd demonstrates a notable reduction in CPU load on scanning machines. Additionally, Rspamd is compatible with well-known mail transfer agents, including Postfix, Exim, Sendmail, and Haraka, making it a versatile choice for various email systems. This flexibility in compatibility allows organizations to seamlessly integrate Rspamd into their existing infrastructure.
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Google Cloud Natural Language API
Leverage advanced machine learning techniques for thorough text analysis that can extract, interpret, and securely store textual data. With AutoML, you can create top-tier custom machine learning models effortlessly, without writing any code. Implement natural language understanding through the Natural Language API to enhance your applications. Utilize entity analysis to pinpoint and categorize various fields in documents, such as emails, chats, and social media interactions, followed by sentiment analysis to gauge customer feedback and derive actionable insights for product improvements and user experience. The Natural Language API, combined with speech-to-text capabilities, can also provide valuable insights from audio sources. Additionally, the Vision API enhances your capabilities with optical character recognition (OCR) for digitizing scanned documents. The Translation API further enables sentiment understanding across diverse languages. With custom entity extraction, you can identify specialized entities within your documents that may not be recognized by standard models, saving both time and resources on manual processing. Ultimately, you can train your own high-quality machine learning models to effectively classify, extract, and assess sentiment, making your analysis more targeted and efficient. This comprehensive approach ensures a robust understanding of textual and audio data, empowering businesses with deeper insights.
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