Building AI-Driven Industrial Strategy
I'm Ebrahim Askari — an entrepreneur and AI investor with roots in business administration, supply chain management, and international business operations. My work centers on a single thesis: the most significant competitive advantage in industrial systems over the next decade will come from companies that treat artificial intelligence as a design principle, not a feature addition.
That conviction led me to co-found Sparrow Quest, a deep-tech startup developing AI-native industrial products designed for commercial-scale deployment. We're not retrofitting intelligence onto legacy hardware. We're building from the ground up — products where AI informs the architecture, the control logic, the diagnostics, and the user experience.
Before Sparrow Quest, I developed strategic expertise in global business operations, supply chain optimization, and international investment. That commercial foundation is what makes our go-to-market strategy defensible — and it's what makes me credible when I speak with investors, industry partners, and pilot customers.
Why AI-Native?
The industrial sector has enormous potential for AI-driven transformation — but most AI in industry today is surface-level: dashboards, alerts, predictive maintenance overlaid on top of unchanged hardware. The real opportunity lies deeper. It's in redesigning the control loops, the sensing architecture, and the decision-making layer of the hardware itself. That's the space I'm building in, and I'm looking for partners and investors who see the same opportunity.
Investment Philosophy
As an AI investor, I focus on ventures where technical depth creates durable moats. I'm interested in teams that understand the domain deeply — not just the AI tooling — and that are building toward genuine product differentiation rather than application-layer commoditization.