San Francisco-based startup Tavus has debuted 'Griffin,' an AI model capable of real-time, human-like video calls, fooling nearly half of test participants. While the technology is in a research preview, it signals a shift in AI capabilities that may eventually impact labor-intensive industries like IT services and customer support, while highlighting the growing need for identity verification.
Tavus, a private technology firm based in San Francisco, has introduced 'Griffin,' a new AI model designed for real-time video interactions. Unlike traditional AI that waits for a user to stop speaking before processing a response, Griffin operates using a video-to-video pipeline. This allows the system to process audio and visual cues concurrently, enabling it to perform natural human behaviors such as nodding, interjecting, or pausing during a conversation.
In internal trials conducted by the company, 54 participants engaged in one-minute video calls with an AI powered by Griffin-Lite. The results showed that 48 percent of these participants believed they were speaking to a real human, marking a substantial improvement over the company’s previous model, Phoenix-4.5. Additionally, the model performed well on NVIDIA’s VideoFDB benchmark, achieving a generation score of 3.83 out of 5, which approaches the human reference score of 3.92.
Impact on Service and BPO Sectors
While Tavus is a private startup and not directly tradeable on stock exchanges, the advancement of technology like Griffin is relevant to investors tracking the IT and Business Process Outsourcing (BPO) sectors. India remains a global hub for human-centric services, including customer support, technical assistance, and virtual reception duties.
If AI models achieve behavioral parity with humans, companies may increasingly look to automate high-touch video communication, potentially altering the traditional labor-based revenue model of BPO firms. Investors in the broader tech and services sector are likely to monitor how rapidly such automation is adopted by enterprises to reduce operational costs. The transition from simple chatbots to video-based, human-like agents represents a change in the competitive environment for service providers.
Security and Regulatory Risks
The ability of AI to mirror human appearance and behavior introduces significant risks regarding identity and security. The rise of sophisticated 'deepfake' technology, where AI can impersonate individuals, creates challenges for digital verification systems. For businesses and regulators, the priority will likely shift toward establishing robust 'proof of personhood' protocols. Any further regulatory action or stricter standards for AI-generated content could impact the speed at which companies can deploy this technology.
Currently, Griffin is restricted to a limited group of testers. The company is working on safety and identity disclosure features before moving to a wider release. For the market, the next important update will be how the company addresses these ethical challenges and whether the technology demonstrates reliable performance in complex, real-world business environments rather than controlled tests.