OpenOrigins Secures $4.5M to Combat AI Deepfakes with Blockchain Tech

OpenOrigins, a startup focused on enhancing trust in digital media, has secured $4.5 million in seed funding to expand its use of blockchain technology to combat AI deepfakes. The investment round was led by Galaxy Interactive and Galaxy Ventures, with additional support from Unbound, helmed by Shravin Bharti Mittal. OpenOrigins aims to certify the authenticity of digital content through a decentralized system that leverages blockchain technology to ensure the provenance of media. This initiative is particularly relevant as AI-generated content continues to proliferate, making it increasingly challenging to distinguish real from synthetic media.

The new investment will enable OpenOrigins to scale its media authenticity platform globally, addressing the need for robust mechanisms to prove content authenticity. Co-founder Ari Abelson highlighted the critical security risks posed by fabricated content, which threatens to destabilize political environments and increase corporate fraud. The company’s technology can also benefit the insurance sector by securing claims processes and reducing fraud through 3D depth capture, providing complete analyses of incidents without the need for physical inspections.

OpenOrigins’ mission is to restore faith in visual content by establishing provable provenance, ensuring that non-synthetic content is recognized as genuine. This initiative aims to protect the integrity of information ecosystems and maintain trust online. As the distinction between real and fake media blurs, OpenOrigins is positioned to offer a scalable solution to safeguard digital content authenticity, ultimately fostering a more trustworthy digital landscape. The funding is a significant step towards expanding their efforts on a global scale, marking a pivotal moment in the fight against the growing threat of AI deepfakes.

Explore more

Agentic AI Redefines the Software Development Lifecycle

The quiet hum of servers executing tasks once performed by entire teams of developers now underpins the modern software engineering landscape, signaling a fundamental and irreversible shift in how digital products are conceived and built. The emergence of Agentic AI Workflows represents a significant advancement in the software development sector, moving far beyond the simple code-completion tools of the past.

Is AI Creating a Hidden DevOps Crisis?

The sophisticated artificial intelligence that powers real-time recommendations and autonomous systems is placing an unprecedented strain on the very DevOps foundations built to support it, revealing a silent but escalating crisis. As organizations race to deploy increasingly complex AI and machine learning models, they are discovering that the conventional, component-focused practices that served them well in the past are fundamentally

Agentic AI in Banking – Review

The vast majority of a bank’s operational costs are hidden within complex, multi-step workflows that have long resisted traditional automation efforts, a challenge now being met by a new generation of intelligent systems. Agentic and multiagent Artificial Intelligence represent a significant advancement in the banking sector, poised to fundamentally reshape operations. This review will explore the evolution of this technology,

Cooling Job Market Requires a New Talent Strategy

The once-frenzied rhythm of the American job market has slowed to a quiet, steady hum, signaling a profound and lasting transformation that demands an entirely new approach to organizational leadership and talent management. For human resources leaders accustomed to the high-stakes war for talent, the current landscape presents a different, more subtle challenge. The cooldown is not a momentary pause

What If You Hired for Potential, Not Pedigree?

In an increasingly dynamic business landscape, the long-standing practice of using traditional credentials like university degrees and linear career histories as primary hiring benchmarks is proving to be a fundamentally flawed predictor of job success. A more powerful and predictive model is rapidly gaining momentum, one that shifts the focus from a candidate’s past pedigree to their present capabilities and