A step forward that could influence how smart contracts are designed and verified.
Updated
January 8, 2026 6:32 PM
ChainGPT's robot mascot. IMAGE: CHAINGPT
A new collaboration between ChainGPT, an AI company specialising in blockchain development tools and Secret Network, a privacy-focused blockchain platform, is redefining how developers can safely build smart contracts with artificial intelligence. Together, they’ve achieved a major industry first: an AI model trained exclusively to write and audit Solidity code is now running inside a Trusted Execution Environment (TEE). For the blockchain ecosystem, this marks a turning point in how AI, privacy and on-chain development can work together.
For years, smart-contract developers have faced a trade-off. AI assistants could speed up coding and security reviews, but only if developers uploaded their most sensitive source code to external servers. That meant exposing intellectual property, confidential logic and even potential vulnerabilities. In an industry where trust is everything, this risk held many teams back from using AI at all.
ChainGPT’s Solidity-LLM aims to solve that problem. It is a specialised large language model trained on over 650,000 curated Solidity contracts, giving it a deep understanding of how real smart contracts are structured, optimised and secured. And now, by running inside SecretVM, the Confidential Virtual Machine that powers Secret Network’s encrypted compute layer, the model can assist developers without ever revealing their code to outside parties.
“Confidential computing is no longer an abstract concept,” said Luke Bowman, COO of the Secret Network Foundation. “We've shown that you can run a complex AI model, purpose-built for Solidity, inside a fully encrypted environment and that every inference can be verified on-chain. This is a real milestone for both privacy and decentralised infrastructure”.
SecretVM makes this workflow possible by using hardware-backed encryption to protect all data while computations take place. Developers don’t interact with the underlying hardware or cryptography. Instead, they simply work inside a private, sealed environment where their code stays invisible to everyone except them—even node operators. For the first time, developers can generate, test and analyse smart contracts with AI while keeping every detail confidential.
This shift opens new possibilities for the broader blockchain community. Developers gain a private coding partner that can streamline contract logic or catch vulnerabilities without risking leaks. Auditors can rely on AI-assisted analysis while keeping sensitive audit material protected. Enterprises working in finance, healthcare or governance finally have a path to adopt AI-driven blockchain automation without raising compliance concerns. Even decentralised organisations can run smart-contract agents that make decisions privately, without exposing internal logic on a public chain.
The system also supports secure model training and fine-tuning on encrypted datasets. This enables collaborative AI development without forcing anyone to share raw data—a meaningful step toward decentralised and privacy-preserving AI at scale.
By combining specialised AI with confidential computing, ChainGPT and Secret Network are shifting the trust model of on-chain development. Instead of relying on centralised cloud AI services, developers now have a verifiable, encrypted environment where they keep full control of their code, their data and their workflow. It’s a practical solution to one of blockchain’s biggest challenges: using powerful AI tools without sacrificing privacy.
As the technology evolves, the roadmap includes confidential model fine-tuning, multi-agent AI systems and cross-chain use cases. But the core advancement is already clear: developers now have a way to use AI for smart contract development that is fast, private and verifiable—without compromising the security standards that decentralised systems rely on.
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The collaboration between Oversonic Robotics and STMicroelectronics highlights how robotics is beginning to fill gaps traditional automation cannot.
Updated
January 8, 2026 6:28 PM
3D render of humanoid robots working in a factory assembly line. PHOTO: ADOBE STOCK
Oversonic Robotics, an Italian company known for building cognitive humanoid robots, has signed an agreement with STMicroelectronics, one of the world’s largest semiconductor manufacturers, to deploy humanoid robots inside semiconductor plants.
According to the companies, this is the first time cognitive humanoid robots will be used operationally inside semiconductor manufacturing facilities. And the first deployment has already taken place at ST’s advanced packaging and test plant in Malta.
At the center of the collaboration is RoBee, Oversonic’s humanoid robot. RoBee is designed to carry out support tasks within industrial environments, particularly where flexibility and interaction with human workers are required. In ST’s factories, the robots will assist with complex manufacturing and logistics flows linked to new semiconductor products. They are intended to work alongside existing automation systems, not replace them.
RoBee is notable for its ability to operate in environments shared with people. It is currently the only humanoid robot certified for use in both industrial and healthcare settings and is already in operation within several Italian companies. The robot is also being used in experimental hospital programs. That background helped position RoBee for deployment in tightly controlled manufacturing environments such as semiconductor plants.
Fabio Puglia, President of Oversonic Robotics, described the agreement as a milestone for deploying humanoid robots in complex industrial settings: “The partnership with STMicroelectronics is a great source of pride for us because it embodies the vision of cognitive robotics that Oversonic has brought to the industrial and healthcare markets. Being the first to introduce cognitive humanoid robots in a sophisticated production context such as semiconductors means measuring ourselves against the highest standards in terms of reliability, safety and operational continuity. This agreement represents a fundamental milestone for Oversonic and, more generally, for the industrial challenges these new machines are called to face in innovative and highly complex environments, alongside people and supporting their quality of work”.
From STMicroelectronics’ side, the use of humanoid robots is framed as part of a broader effort to manage growing manufacturing complexity. he company said RoBee will support complex tasks and help manage the intricate production flows required by newer semiconductor products. It is also expected to contribute to improved product quality and shorter manufacturing cycle times. The robots are designed to integrate with existing automation and software systems, helping improve safety and operational continuity.
In semiconductor manufacturing, precision and reliability leave little room for experimentation. Therefore, introducing humanoid robots into this environment signals a practical shift. It shows how robotics is starting to fill gaps that traditional automation has struggled to address.