Business EconomyPosted at: Oct 19 2026 6:43PM


Birla AI Labs launches Made-in-India time series foundation model ‘Yug-1’

Mumbai, Oct 19 (UNI) Aditya Birla Group’s Birla AI Labs officially announced the release of its time series foundation model (TSFM) ‘Yug-1’ today, which has been developed to forecast outcomes, identify patterns and detect anomalies across interconnected datasets.
Birla AI Lab Founder and Chairperson Ananya Birla stated in a LinkedIn post that Yug-1 has outperformed other first-generation TSMFs on the GiftEval benchmark and performed competitively against newer-generation models.
“Most of the conversation around AI today is about language. But so much of the data that actually runs businesses and economies moves through time,” Ms Birla stated.
TSFMs are large-scale AI models pre-trained on a diverse collection of universal temporal patterns, such as weather, traffic, finance, retail and energy records.
Birla AI Lab’s time series foundation model (TSFM) has been built to forecast outcomes, detect anomalies, and recognise temporal patterns across finance, weather, energy and retail datasets.
Birla AI Lab has implemented AI programmes across Aditya Birla Group entities, including reducing credit underwriting turnaround time at Aditya Birla Capital, compressing project timelines in Birla Estates and deploying real-time factory intelligence for Hindalco.
Time series models are used in applications like demand forecasting, financial analysis, equipment monitoring, and infrastructure planning.
The company said that its frontier research team took Yug-1 from training to deployment in under six months. The model is available on GitHub and Hugging Face for developers and researchers to test.
Ms Birla cited demand and supply, equipment performance, financial signals and infrastructure usage as examples of data where understanding patterns over time can inform business decisions.
Yug-1 is built to analyse such time-dependent data and generate forecasts across multiple variables, according to the company.
Birla AI Labs described Yug-1 as Asia’s first TSMF built for real-world use, positioning it as an effort to expand AI research beyond large language models (LLMs) to systems which can analyse structured, time-dependent data.
The company’s research team presented its work at NeurIPS 2025, ICML 2026, and the World Summit AI, as well as at university campuses in India, Europe, and the UK.
“When we started the research arm of Birla AI Labs, the belief was simple: research only matters when it reaches the real world,” Ms Birla stated.
The company plans to present Yug-1 at NeurIPS 2026 and engage with university campuses and research labs globally in the coming months.
Birla also encouraged developers to test the model and provide feedback, which she said would help shape its future development.
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