#DecodingManufacturing, Vipin Raghavan, Co-founder & CEO at Haber, discusses how AI is transforming process industries by making factories more intelligent, consistent, and sustainable.

The real promise of AI in manufacturing lies in accuracy, efficiency, and real value on the factory floor.

Watch the full conversation on SeedToScale's YouTube channel:

• The future of AI will be driven by research accelerators, & hybrid ecosystems where human expertise meets model iteration. • As AI scales, enterprise data will decide who leads. Companies that fine-tune models on proprietary knowledge will build enduring moats.

Insights from the episode: • The bar for human contribution is rising, & advancing AI now takes interdisciplinary teams working in sync. • Post-training data has become the new competitive edge. It is where models truly differentiate once algorithms and compute converge.

In the latest episode of #DecodingAI, Jonathan joins @_AnandDaniel, Partner at Accel, to unpack why data, not scale, now drives the next frontier of AI, and what the path to Artificial Superintelligence will really look like.

"𝗟𝗮𝘀𝘁 𝘆𝗲𝗮𝗿, 𝘄𝗲 𝗻𝗲𝗲𝗱𝗲𝗱 𝗜𝗿𝗼𝗻 𝗠𝗮𝗻 𝘁𝗼 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹𝘀. 𝗡𝗼𝘄 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝘁𝗵𝗲 𝗔𝘃𝗲𝗻𝗴𝗲𝗿𝘀." That’s how @jonsidd, Co-founder & CEO of @turingcom, describes the new phase of AI.

Step Inside the Engine Room, in collaboration with @awscloud, where Akshat unpacks how https://t.co/k7yTF1kNGJ is building the real-time Voice AI layer for the next decade of enterprise interaction. Watch here: https://t.co/euB9EDBKI0

What makes @smallest_AI powerful: • Speed that feels human: Its system generates speech in 45 milliseconds. • System-level optimization: Every layer is tuned for real-time performance. • Smarter small models: Compact, reliable, and fine-tuned to minimize hallucinations.

In the latest episode of Inside the Engine Room, @AkshatMandloi10, Co-founder of @smallest_AI, explains how his team has built the world’s fastest voice AI engine, and why real-time performance begins long before the first word is spoken.

𝗦𝗺𝗮𝗹𝗹𝗲𝘀𝘁.𝗮𝗶 𝗶𝘀 𝗿𝗲𝗶𝗺𝗮𝗴𝗶𝗻𝗶𝗻𝗴 𝘃𝗼𝗶𝗰𝗲 𝗮𝘀 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗶𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 𝗳𝗼𝗿 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀. From sales and support to onboarding & collections, @smallest_AI builds voice agents that automate high-stakes conversations with human-like clarity.

Aparna’s lens on AI is a masterclass on where founders should build. Watch the full conversation on our YouTube Channel:

• UI: Interfaces will become fluid and generative, adapting to users instead of forcing them through static menus. • Moats: When tech levels the field, memory becomes the differentiator. Products that compound context and trust with every use will outlast the rest.

• Engineering: Much of what used to be hard-coded logic now lives inside the model. Founders must focus on reliability, context, and orchestration. • Product: As general-purpose models grow stronger, narrow agents will fade. The opportunity lies in solving for depth.

In this episode of #DecodingAI, she joins @_AnandDaniel, Partner at @Accel, to unpack how foundation models are reshaping every layer of product-building:

Aparna has been at the frontier of AI for over a decade, from creating Google Lens to reimagining Copilot at Microsoft. She brings rare clarity on how to build products that endure when the underlying technology evolves every month.

𝗧𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝗶𝘀 𝗲𝗮𝘁𝗶𝗻𝗴 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴: 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗽𝗿𝗼𝗱𝘂𝗰𝘁, & 𝗨𝗜. That idea from @aparnacd, CPO for AI Experiences at @Microsoft, captures the reality every founder is waking up to: foundation models are redefining what it means to build.

https://t.co/H6grnLYY7N

Watch the full episode of #DecodingManufacturing to see how @fabheads is building the automation layer for the world’s most advanced materials:

For Dhinesh Kanagaraj, Founder & CEO at Fabheads, that challenge became an opportunity to reimagine how composites are built.