Voice AI Startup Gradium Raises $100 Million in Seed Funding for Global Expansion

Tangos has successfully raised $20 million in a seed funding round. These funds are designated to accelerate the development of an autonomous artificial intelligence platform designed for investigating financial crimes.

Investors and Founders

The round was led by Red Dot Capital Partners. The founder of Tangos is entrepreneur Eyal Azoulay, who established the company in 2025. Leaders Fund, Clarim, Venture Israel, SignalFire, Clutch Capital, Selah Ventures, and Bright Data also participated in the investment.

Platform Functionality

Tangos' technology assists financial institutions in investigating suspicious transactions, sanctions violations, and fraud cases. The company asserts that existing compliance teams cannot investigate every signal due to increasing workload and a shortage of experienced investigators.

Unlike most compliance software, which merely flags suspicious activity before handing cases over to humans, the Tangos platform gathers evidence, verifies, and confirms a range of hypotheses, providing comprehensive reports ready for audit. The system is capable of analyzing alleged transactions, investigating money laundering and sanctions risks, examining ultimate beneficial ownership structures, and identifying hidden connections between organizations or individuals.

AI Application in Investigations

Regulatory-compliant reports can be generated such that every finding is traceable back to the original source data. According to the company, this enhances transparency while ensuring regulatory adherence. Eyal Azoulay, founder and CEO, believes that financial crime has evolved into a complex network problem that exceeds the capabilities of traditional investigation processes, and he posits that autonomous AI can significantly improve the speed, consistency, and quality of investigations.

Implementation in the Financial Sector

Tangos reports that its platform is already utilized by major financial institutions, intelligence agencies, and government bodies conducting high-risk investigations. Clients employ this technology to strengthen compliance and increase investigation throughput. The company emphasizes that this approach solves one of the biggest operational challenges facing compliance departments, as although financial institutions invest heavily in suspicious behavior detection systems, the actual investigation of these signals remains time-consuming and expensive.

Instead of relying on unlimited AI reasoning, the Tangos platform is built around specialized AI components developed for specific investigative tasks. These components follow predefined investigative methodologies created in collaboration with financial crime experts.

Market Prospects and Development

Financial crimes, exacerbated by the increasing sophistication of criminals, are driving growing demand for solutions in the financial crime technology space. Consequently, banks, governments, and fintech organizations are increasingly using AI tools to boost efficiency. Tangos plans to use the raised investments to accelerate research initiatives and deploy its platform into other regulated sectors. The company has not yet disclosed hiring targets but intends to scale its capabilities as corporate demand grows. As artificial intelligence becomes more widely integrated into compliance operations, Tangos positions itself to automate one of the most time-intensive stages of preventing financial crime, while retaining human responsibility for final decisions.

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.

Round Participants and Funding Goals

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.

Mowito's Technology and Application

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.

Vision and Leader Comments

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.