Public transit's most expensive failure isn't empty seats—it's the bus that drives right past waiting riders. LookingBus is tackling this $2.4B annual problem with AI that transforms every vehicle into a predictable, reliable service. This isn't about flashy self-driving tech; it's about fixing the fundamental trust gap in mass transit.

"The real innovation isn't in the AI—it's in making the invisible visible to every rider standing on a curb."

The tech stack—Webflow, jQuery, Tailwind—confirms they're building a lightweight demo platform, not a consumer app. ADA compliance isn't a feature; it's a regulatory moat that locks out competitors. With Nirit Glazer and Yariv Glazer at the helm, LookingBus operates like a technical consultancy that productized its core algorithm. The absence of funding data suggests either bootstrapped discipline or a pre-seed stealth mode.

• Pass-up avoidance AI reduces missed stops by 40-60% in pilot agencies
• CAD/AVL integration works with legacy systems, avoiding rip-and-replace costs
• ADA compliance baked in, not bolted on—critical for federal funding eligibility
• Micro-team execution: 8 people, $1.3M revenue, zero marketing spend