He was building robots before AI became a headline.
A founder story about classrooms, stages, droids, motion capture, public robots, and the runtime layer behind AI systems that speak, remember, and act.
Not a resume. A trail.
He came from systems, cybersecurity, education, startup communities, and hardware. The work kept changing shape. The direction did not.
Build things people can meet. Teach the technology. Then make it real enough to walk into a room.
The first frame is not a credential. It is proof that the story was already public.
Before platforms, there was a room full of people.
Smart Techno was not a logo on a slide. It was a community: conferences, workshops, technology education, hackathons, and people gathering around what was coming next.
The CV connects this period to Garage48, Intel RealSense, smart city hackathons, VR/AR, AI events, and startup ecosystem work. The founder role was already there: assemble people, explain the frontier, turn interest into motion.
China. Students. Algorithms.
Before AI teachers became a product category, he was preparing students for the ACM International Collegiate Programming Contest in Changchun, China.
Teaching changes the way you build AI. You stop thinking in prompts. You start thinking in memory, context, explanation, and trust.
This is the education chapter: direct work with students, algorithmic culture, and the international classroom that later makes the idea of AI teachers feel less abstract.
Then the screen was not enough.
The work moved into hardware: MIG Robotics, a delivery droid, a motion capture suit, computer graphics, VR/AR, and the first physical attempts to make software intelligence visible.
The founder-supplied footage connects early AI work, the Shai project, the pivot into MIG Robotics, and the droid brought from Israel into a studio. This is where the story becomes physical.
A droid in one frame. A motion capture suit in the next. The same question underneath: how does intelligence enter the physical world?
The prototype became a public event.
Captcha did not stay in a lab. It appeared in classrooms, public spaces, conference floors, television studios, and education experiments.
A robot is not validated when it moves. It is validated when strangers stop, listen, ask questions, and remember the moment.
A robot walks into a school.
Students at Willms High School meet Captcha. Reuters reports the classroom experiment.
AI in education, on stage.
Captcha appears as a public speaker in the existing project materials.
The robot becomes a TV guest.
A talk-show appearance turns physical AI into a media object people can see.
AI becomes an examiner.
The school case becomes a concrete workflow: debate, questions, exam simulation.
Not a demo. A public moment.
Existing robot rental materials show Captcha in public and event settings.
On stage, not behind glass.
The robot becomes part of the program, not just an exhibit.
While building, he kept explaining.
Talks, lectures, interviews, university rooms, TV studios. The videos are not a library at the bottom. They are the soundtrack of the story.
PLAYTechnology and entrepreneurship interview.
A CV-listed public interview from the founder archive.
PLAYA university lecture becomes part of the arc.
Education and public technology communication before the current AI wave.
PLAYThe same public technology voice.
Speaking, teaching, and building stay connected.
The last chapter is infrastructure.
After communities, classrooms, hardware, droids, and public robots, the question changes: what system lets many companies build AI employees, experts, teachers, agents, personalities, and physical AI?
IronHeart.AI
Runtime infrastructure for realtime voice AI, memory, orchestration, agents, digital humans, and physical AI systems. Not a robot company. Not a voice company. The layer beneath many AI businesses.
Callable
Callable is the surface where AI experts, digital twins, creators, and conversational AI businesses become products. It is the human-facing chapter above runtime, memory, voice, and orchestration.
AI will not stay inside chat windows.
It will speak. It will remember. It will act. It will move through classrooms, companies, phones, stages, kiosks, and robots. The interface is voice. The foundation is memory. The company is the runtime.
This is what IronHeart.AI is building.