Research

Innovation Based on Scientific Research

At SoftSeven LLC, research is at the heart of everything we do. Our solutions are developed from academic and scientific studies in collaboration with universities and research centers.

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Scientific research and technology workspace

Our Research Axes

Artificial Intelligence and Facial Recognition

SoftSeven is a leader in developing AI-based solutions, especially in the field of behavioral facial recognition. We work with cutting-edge algorithms that analyze facial microexpressions, personality traits and human behavior, always grounded in solid, peer-reviewed scientific research.

Current projects

  • SoftFace AI: Continuous study on the applications of physiognomy and facial analysis in recognizing behavioral patterns, public safety and investigation.
  • Digital physiognomy: Research into how facial expressions and physical traits can provide insights into individuals' emotional and behavioral states.

Cybersecurity and Compliance

Our cybersecurity solutions are based on continuous research into the latest compliance standards, such as LGPD, GDPR, ISO-27001 and ISO-27002. Our focus is to develop tools that facilitate auditing and compliance management, keeping companies safe and protected against digital threats.

Current projects

  • SoftAudit xGRC: Research to improve automated evidence collection and compliance analysis based on artificial intelligence.
  • Predictive compliance: Studies on how AI can anticipate possible compliance failures, preventing problems before they occur.

Educational and Collaborative Experiences

SoftShow represents a new frontier in collaborative experiences, enabling educational and corporate environments to evolve with wireless and on-premises technologies. Our research seeks to optimize interaction and collaboration between speakers, teachers and students, providing greater immersion and efficiency in learning.

Current projects

  • SoftShow Classroom: Research on best practices in screen sharing and mobile device mirroring in educational and business environments.
  • Collaborative experiences without the internet: Studies on the effectiveness of sharing content on local networks (LAN) without internet dependence.

Collaborations with Universities

We are constantly involved in collaborative projects with prestigious academic and research institutions. These partnerships allow us to apply scientific knowledge directly to our products, ensuring that each solution is technologically advanced and backed by science.

Current Partnerships

  • Florida Christian University (FCU): Research projects in facial recognition and cybersecurity.
  • Other Universities and Research Centers: International cooperation for the development of disruptive technologies in AI, big data and security management.

Scientific Publications

Our team of researchers and engineers frequently publishes articles and studies in scientific journals, ensuring that our innovations are always in line with the latest technological and academic discoveries.

Current Partnerships

  • AI Behavioral Analysis: The Future of Facial Recognition (XYZ Magazine, 2024).
  • Automation of Audits in Compliance with LGPD and GDPR (ABC Magazine, 2023).

Projects in Progress

Follow some of our latest research projects in development and integration into SoftSeven products.

SoftAudit

Continuous development of AI applied to automatic compliance audits.

SoftFace

Study on how to identify complex emotions from a static photo using FACS-based algorithms.

SoftShow

Research that increases interactivity and collaboration in education and business through wireless technologies.

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Research insights

Research that becomes practical innovation

Discover ideas, studies and updates from the SoftSeven team as we transform scientific knowledge into secure and useful products.

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Talk to our team. It will be a pleasure to serve you!

Below are our main contacts and office address. Feel free to contact us or pay a visit!

+1 (407) 490-7233[email protected]
6735 Conroy Rd. Unit. 305
Orlando - FL, 32835

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