ego AI
ego AI is a technology company.
Financial History
ego AI has raised $7.0M across 1 funding round.
Frequently Asked Questions
How much funding has ego AI raised?
ego AI has raised $7.0M in total across 1 funding round.
ego AI is a technology company.
ego AI has raised $7.0M across 1 funding round.
ego AI has raised $7.0M in total across 1 funding round.
ego AI has raised $7.0M in total across 1 funding round.
ego AI's investors include 10100, Boost VC, Foundation Capital, Goat Capital, Liquid 2 Ventures, Pareto Holdings, Patron, Plug & Play Ventures, Resonado, SNR, Tribe Capital, Y Combinator.
ego AI is a Y Combinator-backed technology company building an AI-native simulation engine and platform for creating persistent, human-like AI characters in 3D worlds, games, and digital experiences[1][2]. It enables users to prompt and share animated characters, worlds, and interactions using natural language, transforming scripted non-player characters (NPCs) into believable entities that act, react, and remember like real players[1][2]. The company serves game developers, social platforms like Roblox and Discord, and digital world creators, solving the problem of mechanical, forgettable NPCs by delivering richer, persistent interactions—evidenced by over one million users in its first Roblox experience and partnerships like MEE6 on Discord[1]. With $6.7M in seed funding, ego AI shows strong early growth, backed by investors like Patron and supported by AI Singapore[1].
Founded in 2023 and headquartered in San Francisco with research in Singapore and Tokyo, ego AI was started by CEO Vishnu Hari, who previously led Meta's AI Applied Research and Horizon Scripting teams[1][2]. Hari, a former video game modder and screenwriter, assembled a team of engineers from Meta AI, Riot, and Square, plus researchers from MIT, CMU, UPenn, and the University of Toronto[1]. The idea emerged from advances in large language models and diffusion models, targeting longstanding challenges in open-world games like human-like behavior, memory, and cross-platform persistence—initially demonstrated through YC projects like TownWorld (a 3D simulation of Stanford's Generative Agents) and CharacterIdol (AI agents competing in LLM-powered games)[2]. Early traction came via experimental launches, leading to the $6.7M raise and whitepaper release in 2025[1][3].
ego AI rides the generative AI wave in gaming and social platforms, where LLMs and diffusion models finally enable solving "intractable" issues like believable NPCs, long-term memory, and dynamic worlds[2]. Timing aligns with surging demand for immersive digital experiences amid Roblox/Discord growth and metaverse revival, amplified by market forces like AI infrastructure investments from governments (e.g., Singapore) and VCs[1]. It influences the ecosystem by democratizing game development—shifting from code-heavy engines to prompt-based creation—potentially powering social AI in communities and accelerating "living" digital worlds[1][2].
ego AI is poised to expand its character engine into more platforms, leveraging its foundation model (detailed in recent whitepaper) and collaborations like AI Singapore for scaled training[1]. Trends like multimodal AI and edge computing will enhance real-time behaviors, while gaming's $200B+ market and social AI demand position it for rapid adoption—watch for major game studio integrations or Series A by 2026[1][2][3]. As the pioneer in persistent AI natives, ego could redefine digital interactions, evolving from niche simulations to core infrastructure for tomorrow's games and communities—breathing life into worlds once limited by human scripting.
ego AI has raised $7.0M across 1 funding round. Most recently, it raised $7.0M Seed in October 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Oct 1, 2025 | $7.0M Seed | 10100, Boost VC, Foundation Capital, Goat Capital, Liquid 2 Ventures, Pareto Holdings, Patron, Plug & Play Ventures, Resonado, SNR, Tribe Capital, Y Combinator, Arash Ferdowsi, Balaji Srinivasan, Dylan Field, Emmett Shear, Immad Akhund, Siqi Chen |