Theta

Theta Network operates a decentralized cloud and media platform on blockchain for peer-to-peer content delivery. Initially for video streaming, it now offers a distributed GPU computing network. Users contribute computational power for AI and video processing, providing scalable, cost-efficient alternatives to centralized cloud services.

Mitch Liu and Jieyi Long co-founded Theta Network in 2017, drawing on their media and tech experience. CEO Liu previously co-founded successful mobile gaming ventures Gameview Studios and Tapjoy. CTO Long similarly developed games at MadSkill Game Studios, fueling their vision for a decentralized infrastructure.

Theta's platform serves content providers and AI developers needing distributed computing. The company envisions a global, decentralized ecosystem for media and AI, empowering users to contribute resources. It aims to transform digital content delivery and AI computation, fostering an efficient, accessible digital future.

High-Level Overview

Theta is a specialized AI company founded in 2025 that focuses on building self-learning and real-time adaptive AI agents. Its core product is an intelligent memory layer that enables AI agents to remember and learn from previous interactions, significantly improving their accuracy and efficiency. This technology serves developers building AI agents for complex, dynamic workflows where reliability and speed are critical. Theta’s solution addresses the problem of static AI agents that cannot adapt or learn iteratively across runs, enhancing agent performance with minimal integration effort (just four lines of code). The company has demonstrated strong growth momentum by improving the accuracy of existing AI operators by 43% while reducing operational steps by seven times, indicating both cost and speed benefits[3].

For an investment firm perspective, Theta’s mission would likely center on advancing AI infrastructure to enable specialized, adaptive AI across industries. Its investment philosophy would emphasize cutting-edge AI technologies that solve real-world workflow challenges. Key sectors include AI software, machine learning infrastructure, and automation. Theta’s impact on the startup ecosystem lies in pioneering real-time learning AI agents, which could catalyze innovation in AI applications and developer tools.

Origin Story

Theta was founded in 2025 by Rayan Garg, Tanmay Sharma, and Gurvir Singh, all with strong backgrounds in machine learning and distributed systems. Rayan Garg previously led ML research at DeepSilicon, Tanmay Sharma developed AI browsers and agents, and Gurvir Singh specialized in distributed ML systems at Cornell. The idea emerged from the recognition that AI agents struggle with dynamic workflows because they lack memory and iterative learning capabilities. Early traction came from successfully integrating their memory layer with OpenAI Operator, achieving significant improvements in accuracy and efficiency, validating their approach and product-market fit[3].

Core Differentiators

• Product Differentiators: Theta’s intelligent memory layer enables AI agents to self-learn and adapt in real-time, a capability lacking in most static AI agents.
• Developer Experience: Integration requires only a simple four-line code addition, making adoption seamless and developer-friendly.
• Performance: Demonstrated 43% accuracy improvement and 7x fewer operational steps, enhancing speed and reducing costs.
• Community Ecosystem: Focused on AI developers building agents for complex workflows, fostering a niche ecosystem around adaptive AI infrastructure.

Role in the Broader Tech Landscape

Theta rides the growing trend of AI specialization and real-time learning, addressing a critical gap in AI agent capabilities. As workflows become more complex and dynamic, static AI models fall short, making Theta’s adaptive memory layer timely and essential. Market forces such as increasing demand for automation, AI reliability, and cost efficiency favor Theta’s solution. By enabling AI agents to learn iteratively, Theta influences the broader AI ecosystem, pushing the frontier toward more intelligent, autonomous systems that can handle real-world complexity.

Quick Take & Future Outlook

Looking ahead, Theta is poised to expand its intelligent memory technology across more AI platforms and industries, potentially becoming a foundational layer for adaptive AI agents. Trends like AI democratization, real-time data processing, and autonomous systems will shape its journey. As AI agents become central to enterprise and consumer applications, Theta’s influence could grow significantly, driving a shift from static to self-learning AI architectures. This evolution ties back to Theta’s core mission of enabling specialized AI for every job, transforming how AI adapts and performs in dynamic environments.