NINJIO lowers human-based cybersecurity risk through engaging training, personalized testing, and insightful reporting. Our multi-pronged approach to training focuses on the latest attack vectors to build employee knowledge and the behavioral science behind human engineering to sharpen users’ intuition. The proprietary NINJIO Risk Algorithm™ identifies users’ social engineering vulnerabilities based on phishing simulation data and informs content delivery to provide a personalized experience that changes individual behavior.
With NINJIO you get:
- NINJIO AWARE attack vector-based training that engages viewers with Hollywood style, micro learning episodes based on real hacks.
- NINJIO PHISH3D simulated phishing identifies the specific social engineering tricks most likely to fool users in your organization.
- NINJIO SENSE is our new behavioral science-based training course that shows employees what it “feels like” when hackers are trying to manipulate them.
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DropTrack is a music promotion platform that helps independent artists, labels, managers, DJs, playlist curators, blogs, radio contacts, and fans discover and engage with new releases. The platform supports targeted submissions, email campaigns, Spotify playlist placement, AI-generated press materials, and analytics for tracking who opened, played, downloaded, commented, or returned to a track. Artists can use DropTrack’s Music Analyzer to evaluate readiness, mood, genre, similar artists, and next steps before investing in promotion. DropTrack also helps users create album art, press releases, bios, track versions, and timestamped comments to prepare a more professional release. Labels and managers can manage multiple artists, run unlimited campaigns, use genre-based contact lists, and measure engagement across releases. Built for music promotion workflows, DropTrack helps artists and music teams get tracks ready, reach the right industry contacts, and follow up based on real listener behavior.
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Podsuite
Podsuite is an AI-powered podcast post-production tool that turns a single episode upload into a complete, publish-ready content stack. Upload an MP3, WAV, or M4A file and get a speaker-diarized transcript, structured show notes, timestamped chapter markers compatible with Spotify and YouTube, episode title suggestions, SEO keywords, a full-length blog post, newsletter copy, platform-native social media posts for LinkedIn and X, and highlight clip timestamps — all generated automatically in one pass.
Corrections made to the transcript flow through to all other outputs automatically, keeping everything consistent. SRT file export is available for YouTube captions. All outputs are fully editable and exportable.
Podsuite replaces 6–8 hours of manual post-production per episode with around 10 minutes of review. It does not train on user content — all episodes and outputs remain private to the user.
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