News

GluFormer uses GPT-style transformer architecture to predict glucose from 15-minute readings, foreseeing responses to specific foods and tracking multiple health metrics.

New prompt improver uses chain-of-thought, XML standardisation, and prefill features to enhance prompts, boosting accuracy by 30% in classification tests.

Company ranked first among 2,000 evaluated firms, excelling in employee benefits with quarterly Free Days and onsite counsellors, while maintaining low turnover

Company created 240 custom GPTs in 10 weeks, including specialised tools for fragrance analysis and clinical trials, achieving 90% faster response times.

The initiative runs on GPU Merdeka, an NVIDIA-powered sovereign AI cloud built in three months. It operates from a renewable energy data centre.

User cases show 75% HR containment, 93% ticket accuracy, 50% faster case prep, and 95% reduced editorial review with Llama on watsonx.