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About Getreal

GetReal is a world set of initiatives and brands focused on authenticity, real world evidence, or security against deepfakes and AI deception, spanning cybersecurity firms, healthcare RWE consortia, and professional services platforms.

Trend Decomposition

Trend Decomposition

Trigger: concern about authenticity and trust in digital media and business processes amid rising AI generated content.

Behavior change: organizations adopt or promote authentic data practices, real world evidence methodologies, and anti deepfake technologies; researchers and firms collaborate around trust focused workflows.

Enabler: advances in AI for detection, regulatory interest in real world evidence, and expanding enterprise platforms that emphasize transparent, verifiable data.

Constraint removed: skepticism about digital authenticity and whether synthetic media can be reliably identified and mitigated.

PESTLE Analysis

PESTLE Analysis

Political: regulatory scrutiny of AI deepfakes and digital identity; policy initiatives promoting verifiable healthcare evidence and trustworthy AI.

Economic: growing market for anti deepfake security tools and real world evidence services; investment in AI governance and risk management.

Social: increased demand for transparency and trust in media, branding, and online transactions.

Technological: development of detection algorithms, forensic tooling, and platforms that certify or validate real world data.

Legal: evolving standards for digital provenance, data privacy, and healthcare decision making using real world evidence.

Environmental: not a dominant factor in this trend; indirect implications through responsible AI and sustainability reporting.

Jobs to be done framework

Jobs to be done framework

What problem does this trend help solve?

It helps solve the need for trustworthy digital media, verifiable data, and reliable decision making in contexts like security, healthcare, and brand integrity.

What workaround existed before?

Prior approaches included manual verification, generic cybersecurity tools, and opaque AI outputs without standardized provenance.

What outcome matters most?

Certainty in authenticity and reliability of information and data, with speed and cost considerations balanced.

Consumer Trend canvas

Consumer Trend canvas

Basic Need: Trustworthy information and verifiable data in an increasingly digital world.

Drivers of Change: AI generated content, demand for real world evidence in decision making, and rising cybersecurity threats.

Emerging Consumer Needs: verifiable identities, transparent media, and robust data provenance.

New Consumer Expectations: immediate access to authenticated content and auditable data trails.

Inspirations / Signals: partnerships between healthcare bodies, regulators, and tech firms; growth of real world evidence institutes.

Innovations Emerging: deepfake detection platforms, provenance tagging, and RWE enabled decision frameworks.

Companies to watch

Associated Companies