Three of us, and the mix is deliberate. We bring AI and Big Data engineering together with the local knowledge and language a Korean market needs, and we share the work across all of it rather than splitting into a technical side and a business side.
Team Leader, AI and Big Data
Leads the work on the detection models that decide what counts as ripe, and on the platform that carries those decisions to a farmer's screen. Spent the founding season walking greenhouse rows in Nonsan, asking growers what they actually check for by eye.
Co Leader, AI and Big Data
Works across the sensor data and the training pipeline that turns greenhouse frames into something a model can learn from. Shares the engineering load rather than splitting the team into a technical side and a business side.
Team Member
Brings the local knowledge and language the Korean market needs, from cooperative conversations to the farm visits that started the company. The reason Biocenza is designed around how Korean family farms actually run.
The team has built and demonstrated an AI powered humanoid robot together. It is not the harvesting arm and it is not the product, but it is the reason the team is confident about building one: proof that we have already put AI models onto real hardware and made it work.
Why this matters to investors
Biocenza's core technical risk is not whether this team can put AI onto real hardware. That part is already demonstrated. The remaining work is applying the same discipline to ripeness detection and precision harvesting in a working greenhouse.
Every message reaches the founding team directly. No sales layer in between.
