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From automating tedious expense claims to unlocking consumer data trapped in third-party retail, this episode explores whether Xtractify is just AI hype, or solving real problems.
After raising RM2 million and setting its sights on RM1 million in revenue by 2025, Xtractify is betting on AI-powered automation, especially through WhatsApp, to help businesses streamline operations and extract hidden value.
On this episode of Open For Business, we speak with Elvis Lau, Founder and CEO of Xtractify, a Malaysian startup claiming to offer plug-and-play AI tools that work with minimal changes to existing systems. The company is targeting industries like retail and F&B with two core products: AI-driven business automation and a WhatsApp-based customer acquisition engine.
Elvis breaks down how their AI engine builds on top of existing LLMs, enhanced by proprietary training methods, self-refinement algorithms, and small language models for secure, business-specific results. He also discusses their hybrid SaaS + pay-per-use model, how they’re navigating product-market fit, and the trust challenges AI startups face.
See omnystudio.com/listener for privacy information.
By BFM MediaFrom automating tedious expense claims to unlocking consumer data trapped in third-party retail, this episode explores whether Xtractify is just AI hype, or solving real problems.
After raising RM2 million and setting its sights on RM1 million in revenue by 2025, Xtractify is betting on AI-powered automation, especially through WhatsApp, to help businesses streamline operations and extract hidden value.
On this episode of Open For Business, we speak with Elvis Lau, Founder and CEO of Xtractify, a Malaysian startup claiming to offer plug-and-play AI tools that work with minimal changes to existing systems. The company is targeting industries like retail and F&B with two core products: AI-driven business automation and a WhatsApp-based customer acquisition engine.
Elvis breaks down how their AI engine builds on top of existing LLMs, enhanced by proprietary training methods, self-refinement algorithms, and small language models for secure, business-specific results. He also discusses their hybrid SaaS + pay-per-use model, how they’re navigating product-market fit, and the trust challenges AI startups face.
See omnystudio.com/listener for privacy information.

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