Deepfake detection R&D leadership
Summary
In the rapidly-advancing era of Frontier AI, AI-generated content has become increasingly lifelike; when misused, the resulting deepfakes can target individuals and cause massive financial or personal harm at scale.
If you're in the business of securing interactions using voice authentication or other methods, you need to remain ahead of the emerging threat of deepfakes.
deepreality Group can help you build industry-leading deepfake detection, voice authentication or fraud detection products. What this means is we will embed ourselves within your R&D team to help them accelerate technology advances, allowing you to provide more value to your customers and remain robust to malicious use of AI.
We accelerate your internal IP development. Our goal is to leave your team with the knowledge and tools to maintain state-of-the-art resilience independently.
Your newly-attained value proposition can include (depending on use cases) —
90%+ deepfake resilience to the latest Frontier AI models and a wide array of attack types
95%+ call center authentication rate
60s reduction in call center Agent Handle Time (AHT)
90%+ fraud prevention
Advanced R&D for Competitive Advantage
Leadership — our leadership represents over 20 years in experience in applied research and building AI products, leading teams of product managers, professional services, engineers and AI researchers
Expertise aligned with enterprise organization needs — we've built technologies that were deployed for dozens of enterprise organizations worldwide, including several of the largest financial institutions in the world and Fortune 500 companies
State of the art tech proven in the real world — our AI research yielded the industry-leading algorithms for voice authentication, fraud detection and deepfake detection; purpose-built to prevent fraud and deepfake use in the real world
Why it matters
Building for production is different from building for a lab. We help your team navigate the gap between idealized datasets and the real world, where noise, variance and other artifacts can confound standard models.
Further, the quality of deepfakes is ever-improving, necessitating not just a one-time core development, but a design of the program and team necessary to ensure your products remain ahead of such threats and continue to provide value to your customers.
How it works
Research and product review — we will review your current research and product state to establish a baseline understanding of your journey; a necessary first step for all subsequent phases
Plan — we will work with you to build an actionable plan based on your resources and investments. This would include clarifying the technology focus as well as setting a schedule for attaining state-of-the-art performance
Execute — we will work with your research and engineering teams throughout implementation, experimentation, product design, and final validation to maximize chances at the best outcomes
Reinforce — we will collaborate on performance reports and other communication materials you can use for internal stakeholders or customers
