Photon, an AI startup co-founded by Daniel Tian and Ryan Zhu, has raised $4.5 million in seed funding to advance its vision of replacing traditional mobile apps with AI-powered agents. The company recently held a symbolic funeral for mobile apps in San Francisco, underscoring its belief that apps will eventually be supplanted by intelligent agents operating within existing messaging platforms like iMessage and WhatsApp. This novel approach addresses the growing user reluctance to download and maintain numerous individual apps.

Photon’s platform offers developers a comprehensive toolkit that includes a unified API, extensible channel framework, command-line interface, and observability suite. These tools enable the creation and management of AI agents capable of functioning across multiple messaging channels such as SMS, RCS, email, and voice. This approach leverages popular messaging apps as the user interface, providing a frictionless way for consumers to interact with AI assistants without needing standalone applications. The startup boasts over 40,000 developer sign-ups and significant recent growth in revenue and messaging volume.

The company’s origins trace back to the co-founders’ experiences building consumer apps, where they faced challenges with user discovery and engagement. By pivoting to AI agents embedded in messaging platforms, they tapped into existing communication habits to facilitate broader adoption. Photon’s open source version remains widely used, accounting for 98% of its activity, while the hosted, subscription-based platform offers enhanced stability and compliance certifications such as SOC 2 Type II and HIPAA, enabling applications in regulated sectors like healthcare.

Photon’s investor roster includes Gradient and A*, with strategic participation from Vercel, HongShan, and others. Its technology already underpins solutions for varied clients in fintech, insurance, dating, and social introductions. Looking forward, Tian envisions agents evolving to communicate autonomously with one another to orchestrate complex tasks, exemplifying a future of interconnected AI assistance that extends beyond direct human interaction. This agent-to-agent networking could redefine how digital services are delivered and experienced.