The open-source AI platform Sentient has completed an $85 million fundraising in its seed round, with leading participation from multiple renowned investment institutions. Sentient aims to build an Open General Artificial Intelligence (AGI) economy, providing an monetization platform for open-source AI developers through its unique 'OML' model (Open, Monetized, Loyalty). The platform encourages developers to collaboratively build powerful AI alerts and become key stakeholders driving the AI revolution. Additionally, Sentient's core team includes industry experts and academic leaders such as Sandeep Nailwal, co-founder of Polygon, and Professor Pramod Viswanath from Princeton University.

MATIC

Through AI openness, monetization, and loyalty models, let Open AI defeat OpenAI, and speed-read Sentient in three minutes.Hamrick Engineering Professor Pramod Viswanath: responsible for research guidance;

2. Himanshu Tyagi, Engineering Professor at the Indian Institute of Science: responsible for technical guidance;

3. Polygon co-founder Sandeep Nailwal: responsible for strategic guidance;

4. Sensys, the risk studio creating products and applications for Sentient, will be responsible for growth. Sensys is led by Kenzi Wang, co-founder of Symbolic Capital.

It is worth mentioning that Pramod Viswanath, responsible for research guidance, has made significant contributions in the field of wireless communication. During his tenure as the founding engineer at Flarion Technologies in 2020, he helped develop the framework that became the basis for the 4G LTE wireless network. Pramod Viswanath has also co-authored the textbook "Fundamentals of Wireless Communication" with others and is a co-founder of the blockchain startup Kaleidscope.

The research direction of Pramod Viswanath's laboratory is closely linked to the future blueprint of Sentient. Ben, who previously co-taught a course with Professor Pramod Viswanath at Princeton University, stated last month that in a course, students worked in groups to build AI applications for blockchain and blockchain applications for AI, and some projects may be implemented on the Sentient platform. Ben also revealed the research directions of Pramod's laboratory, including AI agents for smart contract generation and verification, intelligent blockchain wallets for automatic fraud detection, AI-driven blockchain browsers, gas prediction on-chain and off-chain models, AI-driven real-world applications, Smart DAOs and Data DAOs, and AI-driven low-cost cross-chain path detection.

Sentient's lineup of contributors is equally impressive, with 11 contributors officially listed, including 4 from the University of Washington and 4 from Princeton University, mostly researchers or professors in AI and blockchain research, computer science. In addition, Sandeep Nailwal stated that the Sentient AI team also includes senior professionals from Google, Deepmind, and other leading AI companies.

### Sentient Roadmap

Sentient has a relatively clear roadmap, aiming to build the Sentient AI Platform and blockchain protocol in the short to medium term, followed by building new foundational models contributed by the community, open AGI supported by OML models, and launching economic incentives and monetization for AI Builders. This quarter, Sentient enters the testnet phase.

![Image](https://sosovalue.s3.us-west-2.amazonaws.com/sosovalue/web3image/24/07/03/iju3tt2cjwi1.png)

### Conclusion

As Dovey Wan, the founder of Primitive Ventures, said, we are witnessing the convergence of several trends: "binary code becomes monetary code," "machine programs become social contract programs," and "human language becomes programming language." This convergence heralds the arrival of a new era, embracing principles of decentralization, transparency, and collective ownership. Franklin Bi, partner at Pantera Capital, further stated, "Open systems will surpass closed systems, allowing Open AI to defeat OpenAI."

Sentient's grand vision of "ensuring AI benefits all of humanity" is not a corner dispute with existing AI solutions but rather aims to pave the way for the intellectual leap of the next generation of AI. Of course, the implementation path and operational mode are still awaiting detailed refinement, but each attempt is an exploration and practice of future possibilities.