Haber: Building Smarter, More Efficient Factories with AI-Driven Automation | Decoding Manufacturing

Everyone’s talking about generative AI.
Few talk about industrial AI: where the data meets the factory floor.

In this episode of Decoding Manufacturing, Vipin Raghavan, Co-founder & CEO, Haber, explains how Haber is using AI to close the loop between lab and line, turning process data into real-time chemistry control and measurable profit impact.

From automating dosing systems to building trust through prediction accuracy, Vipin breaks down what it takes to bring AI into legacy plants, why Haber prices by production output instead of licenses, and how vertical depth and reliability built a zero-churn business.

He also talks about India’s manufacturing readiness, cultural differences in adoption, and what the road to autonomous factories really looks like.

Chapters
00:00 – Intro: AI that augments, not replaces operators
02:57 – The three universal manufacturing challenges
07:25 – Why now: Connected factories and cheaper edge compute
09:59 – Trust before autonomy: Building accuracy first
13:52 – The pacemaker product and Haber’s zero churn
17:37 – Pricing by the tonne, not by the seat
21:46 – India vs West: Cultural adoption of industrial AI
24:36 – Building T-shaped talent
27:33 – The long road to near-autonomous factories

Follow SeedToScale on LinkedIn for more insights: https://www.linkedin.com/company/seedtoscale

Follow Vipin on LinkedIn: https://www.linkedin.com/in/vipin-raghavan-6142986/?originalSubdomain=in

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