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Amir Haramaty has helped build and scale companies that were later acquired by Microsoft, Salesforce, Meta, and other major players.
But his story does not start in a boardroom.
It starts on a bridge, deep in enemy territory, wounded while trying to defuse explosives and realizing that humans were still being asked to risk their lives for problems technology should solve.
That moment shaped the rest of his career.
We sit down with Amir Haramaty, Co-Founder of aiOla, for a conversation about startups, risk, decision-making, voice AI, and the one principle that has guided much of Amir’s work: follow the pain.
Amir does not believe in entrepreneurship for entrepreneurship’s sake. He believes in finding painful, expensive, operational problems then building technology that creates measurable ROI.
That approach took him from bomb-disposal robotics to workforce management, mobile advertising, cybersecurity, AI consulting, and now aiOla: a company turning speech into structured data for enterprises where forms, inspections, reports, and workflows still depend on manual data entry.
The idea sounds simple.
People hate entering data.
Speech is faster, richer, and more natural.
But in the enterprise, “simple” is never simple. Accents, jargon, noisy environments, compliance-heavy workflows, legacy systems, adoption risk, and ROI all matter. Amir explains why aiOla’s real edge is not just voice recognition it is turning messy human speech into structured, usable data that can power workflows, agents, and business decisions.
In this episode, we cover:
• Why Amir defines himself as a “serial problem solver,” not just an entrepreneur
• How a personal experience in bomb disposal shaped his view of risk and technology
• Why ROI is still the most important language in enterprise sales
• How aiOla turns speech into structured data for real-world operations
• Why “follow the pain trail” is Amir’s operating system for finding customers
• What founders misunderstand about risk management, decision-making, and change
• Why Amir tells clients: “I guarantee failure” and why that builds trust
This is a conversation about voice, data, risk, enterprise AI, execution, trust, and the difference between building technology people admire and building technology people actually use.
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