Founded by Alexander Lynnyk
ABOUT
H1NTED originated in 2024 as a single proprietary AI methodology, a carefully constructed prompt architecture that became the intellectual core of everything that followed. From that foundation, the technology evolved in cascades: first into a personalisation layer purpose-built for leaders and sales professionals, where the ability to understand people before engaging them translated directly into performance. In late 2025 the pivot to robotics and AI agents was a natural progression, not a departure: as robots and intelligent systems move from controlled environments into daily human life, the central unsolved problem becomes impossible to ignore.
Applications
General-purpose humanoids
H1NTED equips humanoid robots with contextual awareness. By recognising who is present and understanding what situations demand, robots respond appropriately.
Home companion robots
Home robots live with people at their most unguarded. Our tech interprets visual signals and calibrates responses before any human-robot interaction.
Luxury experiences & AR
First-impression quality defines a lot. With our technology any brand can deliver VR and AR training with contextual learning to deliver high-standard experiences.
First Impression
People perceive robots the same way they perceive people. Yet every robot deployed today meets that moment with zero awareness of people in front of it, no ability to understand preference or concern, no mechanism to adjust its approach before the first word is spoken. Yet H1NTED is the only technology that solves that gap.
PROJECTS
CONSULTING
Intuera Consulting
B2B behavioural consultancy built on a proprietary methodology. We question data because we believe it is only half of the equation. Interpretation defines outcomes.
TECHNOLOGY
H1NTED
Behavioural adaptation layer for AI agents and humanoid robots. Pre-communication personalisation using multimodal signals, designed for a more efficient future.
AI CONSULTING
AI Personalisation
We help startups build AI agents that create highly individualised interactions by analysing user signals (visual, text and audio) with a privacy-first approach.