Synthefy

At @synthefyinc , we built something different: - A diffusion model designed for time series - A universal metadata encoder (text, tabular, categorical, continuous) - Native support for dense, noisy, real-world signals

LLMs can’t solve time series. Here’s why: LLMs are powerful, general-purpose tools. But somewhere along the way, we started treating them as the answer to every problem. They’re not. And for time series modeling, they’re the wrong tool entirely. Let’s dig in 👇

AI startup Synthefy is changing that with its multi-modal GenAI platform for time series data. Know more. yourstory.com/2025/07/synthe…

Conventional time series models are restricted to narrow historical data patterns, missing out on product metadata, macroeconomic signals, and evolving market shifts.

Time series data is everywhere – powering decisions in energy, finance/crypto, health, and more. Yet ironically, our most celebrated AI tools stumble on it. LLMs have captured the tech world’s imagination (and for good reason, they’re powerful and flexible). But they’re not a…

LLMs are amazing at a lot of things - but time series forecasting isn’t one of them. In Synthefy's latest blog post, we explain why token-based architectures aren’t inherently designed for real-world time series tasks - like forecasting energy demand, retail trends, or medical…

Thanks @mariogabriele for highlighting @synthefyinc in your “what to watch in ‘25”

@synthefyinc is excited to be included in the AI for Telecom program launch with @DellTech. At Synthefy, we’re building the world’s first multi-modal GenAI platform for time series data, enabling the next generation of AI solutions for Telecom. Our platform enables…

Time-Series is the most under-appreciated and under-researched modality in gen-ai, even though it comprises the large majority of data in the world. That's why I am co-founding @synthefyinc with @ShubhankarAgar3 and @SPChinchali We won 1st at the DT/T-Mo AI Challenge.

Ever wondered how synthetic time series data can be a game changer? 🧐 Our latest blog breaks it down with real-world examples. Dive in and tell us how you will use synthetic time series data! medium.com/@synthefy/prac…

We will be at @icmlconf presenting our spotlight work - TimeWeaver, a GenAI model for multi-modal time series synthesis! Come meet the Synthefy team to chat at Poster #316 (Hall C 4-9 #316) on Thursday. Would love to show what we are working on. @SPChinchali @ai @nsai_shankar…

T Challenge 2024 winners are in and I'm so excited to see how these 6 companies will help evolve network ecosystems with AI! Congratulations to @synthefyinc, Inveniam, Rockfish and our special awards winners GeoSPS, Tiami Networks and @UW! 👏👏 t-mo.co/4bTnHTt

Excited that we've won @deutschetelekom and @TMobile 's AI in Telecom Challenge for a first place prize of 150K Euros! Reach out to see how our multi-modal time series platform can help your business. Press release here: telekom-challenge.com/interview-with… @ShubhankarAgar3 @nsai_shankar @ai