Rize, a company specializing in sustainable rice production, has successfully closed a Series B funding round, raising $31 million. This amount comprises $20 million in equity capital and $11 million in debt financing.
Rize, a company specializing in sustainable rice production, has successfully closed a Series B funding round, raising $31 million. This amount comprises $20 million in equity capital and $11 million in debt financing.
The equity round was led by BNP Paribas Asset Management Alts, with participation from The Rockefeller Foundation, Temasek, and Breakthrough Energy Ventures. Debt financing was provided by BIDV, Temasek Foundation, and UOB. The company stated that the funds will be used to expand exports, develop artificial intelligence-based tools for farmers and field teams, and invest in carbon emission reduction initiatives and other innovative projects.
Rize reported that the total amount raised reached $47 million, and since the Series A round two years ago, the company has scaled its operations more than tenfold.
Dhruv Sawhney, co-founder and CEO of Rize, noted that this investment will allow the company to move to the next stage of growth by further scaling up, strengthening market ties and exports, and implementing advanced technologies to improve decision-making, increase productivity, and achieve better results across the entire value chain. The company's technical team is based in India.
Founded in 2022, Rize collaborates with 17,000 smallholder farmers across more than 50,000 hectares in Vietnam and Indonesia. The company confirmed that its emissions reductions have been independently verified, and the sustainable rice project is moving towards Gold Standard certification, with over one million carbon credits projected within the next five years. Furthermore, Rize has begun supplying traceable low-carbon rice to buyers in Europe, Canada, Australia, and Singapore.
Alexandre Martin-Min, Head of Natural Capital and Impact Investing at BNP Paribas Asset Management Alts, emphasized that Rize occupies a position at the intersection of sustainable agriculture, carbon finance, and verified commodity trading. Slav Gatchev, Vice President of Innovative Finance at The Rockefeller Foundation, pointed out that smallholder farmers in Asia face challenges with resource management, access to finance, and unstable markets, which leads to reduced yields and worsened farmer welfare.
Grace Investment Machine (GIM), a technology company specializing in artificial intelligence-driven investments, has successfully raised $20 million in a Series A funding round. The round included participation from Hony Capital and a leading American venture capital firm. Existing investors Monolith Capital and IDG Capital also participated in the investment.
This fundraising marks the third financing round for GIM within its first year of operation. The company intends to use the acquired capital to expand its operations, strengthen product development, and accelerate research in agentic artificial intelligence for capital markets.
GIM's primary focus is on creating intelligent systems that go beyond traditional investment analysis tools. Instead of merely organizing information, the company's technology independently generates, evaluates, and refines investment ideas using real-time market data and continuous feedback.
The company's platform is built around a concept it calls the 'Visionary Machine.' This concept enables AI agents to form investment hypotheses, test market assumptions, and improve future decisions based on measurable market outcomes. Every investment action generates new data that helps the system refine its logic over time.
Founder and CEO Jiahao Xu stated that investment AI is entering a new stage. Future systems will increasingly generate and validate investment opportunities autonomously, rather than just assisting analysts in gathering information. He added that GIM is developing AI capable of reasoning across various market signals and continuously improving through real-world experience. The company's technological development is focused on two key areas: developing foundational models specifically trained for financial markets.
GIM continues to actively invest in scientific research alongside product development. Their flagship research paper, CogAlpha, has been accepted for presentation at the main ACL 2026 conference with a recommendation for an oral presentation. The company's AI models are trained on financial market time series data to identify market patterns, forecast potential returns, and optimize portfolio strategies. These systems also support trade execution and liquidity management under various market conditions.
In addition to research, GIM has begun testing its AI-based investment products across various asset classes. The company plans to scale these live deployments as its technology matures. The long-term strategy extends beyond institutional investment tools; GIM also plans to create accessible investment products, allowing a wider range of users to utilize self-improving AI systems. This vision is based on the concept of 'Common Prosperity,' as the company believes that future intelligent systems should create widely accessible value, not value concentrated in a limited number of institutions.
The attracted capital brings together investors experienced in artificial intelligence, financial technology, and global capital markets. Their support will ensure further innovation as GIM expands its AI infrastructure and commercial offerings. With the new funds, GIM plans to accelerate product development, increase engineering capacity, and strengthen the deployment of autonomous AI systems in modern investment markets.
Mowito, a company specializing in physical artificial intelligence (AI) and creating foundational models for industrial robots, announced on Tuesday that it has raised $3 million in a seed funding round.
The round was led by Version One Ventures. Other participants included All In Capital, Unisol, iSeed, as well as angel investors such as Soumith Chintala (from Thinking Machines Lab), Adarsh Kulkarni (from Foundry Robotics), Ashish Kulkarni (from Coformer.ai), and Vaibhav Domkundwar (from Better Capital).
The company stated that the funds will be used to accelerate expansion in the United States, strengthen engineering and market teams, and scale deployments with manufacturers in the automotive and electronics industries.
Founded in 2024, Mowito develops physical AI models that allow industrial robots to learn directly from task demonstrations. This eliminates the need for traditional programming while maintaining the necessary precision for manufacturing processes.
The company serves global manufacturers in the automotive and electronics sectors, with headquarters in Bengaluru and Detroit. It was noted that Mowito robots are already being used on production lines of a major Fortune 500 automotive company and one of the world's largest electronics contract manufacturers, supporting high-precision assembly operations.
Co-founder and CEO of Mowito, Puru Rastog, emphasized that manufacturing has reached a point where the bottleneck is no longer hardware but software. He noted that robots should not require reprogramming when production changes, but should learn like humans—through observation and repetition. He added that this funding will help accelerate this concept, expand globally, and implement Physical AI in more manufacturing environments.
All In Capital Partner Kushal Bhagia expressed the view that manufacturing is entering a new phase where AI will radically change industrial automation. He highly praised Mowito, stating that the company is creating fundamental technology that removes one of the main barriers to industrial automation—the complexity of robot programming—and that the technical depth of the team, early customer validation, and vision for Physical AI place it in an exceptional position to define this category.
Yotta Data Services, a company specializing in artificial intelligence infrastructure and data centers, announced the raising of approximately $150 million from non-institutional investors. The company's valuation was set at approximately 37,000 crore rupees.
The raised capital is intended to strengthen the company's financial position through growth and to support the next stage of expansion. The company emphasized that all attracted funds will be directed towards accelerating growth, and there was no Offer for Sale (OFS) from shareholders in this round.
Yotta continues to assess interest from long-term institutional investors while maintaining its course toward its pre- and post-IPO plan, although the timeline for this has not been disclosed. Previously, there were reports that the company was raising funds through global funds or via listing.
The company stated that its current valuation is based on fundamental business metrics, revenue from long-term contracts, and execution visibility. Yotta expects this valuation to increase as its AI infrastructure capacity grows and new client agreements are signed.
Operationally, Yotta plans to increase its AI cloud platform to over 40,000 Nvidia Blackwell GPUs within the next four months, and to approximately 85,000 GPUs by the end of the current fiscal year. This will enable it to become one of the largest AI computing platforms outside the US and China.
The company continues to support sovereign cloud and AI initiatives in India while scaling up services for global AI model developers and inference providers. Yotta's long-term goal is to help India become a producer of AI infrastructure and intelligence, rather than just a consumer.
