CODIT Unveils Chat CODIT Beta at TechLaw Fest 2025

Oct 24, 2025
CODIT introduced Chat CODIT Beta, a generative AI-powered policy monitoring service, at TechLaw Fest 2025 in Singapore. The platform provides tailored insights into regulatory and policy developments in Korea and the United States, with expansion to additional regions planned.
CODIT Unveils Chat CODIT Beta at TechLaw Fest 2025

CODIT Corp. introduced the beta version of Chat CODIT, its generative AI-powered regulatory and policy monitoring service, at TechLaw Fest 2025 in Singapore, announced in a press release.

Chat CODIT combines CODIT’s proprietary large-scale regulatory and policy dataset with patented LLM-based analysis technology. The system allows users to set background profiles to receive customized responses, currently covering policy data from Korea and the United States. Additional coverage for Japan and other countries is planned.

The service includes a built-in multilingual translation feature that attracted strong interest from international attendees. CODIT plans the official launch of Chat CODIT later in September 2025.

At the event, CODIT also hosted a policy briefing for multinational companies, presenting insights into Korea’s government agenda and National Assembly priorities. The company intends to hold regular sessions in Singapore to keep global businesses informed about regulatory developments.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.

Also, consider following us on social media:

AI Safety & Regulation AI Brief AI Brief (X)
Free newsletter

AI Policy Brief

Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.