Humans and AI-aided systems working together, preserving and enhancing the role of the human element.
Swarm intelligence produced by the cooperation of humans and technology.
Semi-autonomous vehicles, controlled individually or in a group by single human agents, fulfilling clear objectives.
Hybrid Intelligence in Motion
Ai automation is taking over
The automated guided vehicle market size is projected to grow from USD 2 billion in 2021 to USD 4.11 billion by 2029, at CAGR of 9.6% during forecast period; Increasing demand for automation in various industries, such as manufacturing, logistics, and warehousing to propel market growth during forecast period.
Automated Guided Vehicle Market Size Worth USD 4.11 Billion, Globally, by 2029 at 9.6% CAGR
Where we believe there is a space
Large integrated systems, site-specific
The largest barrier to entry for most autonomous robots in manufacturing and Industry 4.0 applications is the upfront cost.
Autonomy for any special—purpose vehicle – quickly
Human agent
+ autonomous robots
Focus on the software + hardware integration
Much less competition – we identify chiefly
Phantom Auto, Geek +, Third Wave Automation and Locus Robotics.
Our aim
H2iM can partner with special-purpose equipment manufacturers to bring AI-powered autonomy to customers who value speed, simplicity of implementation at an economic price point.
Full automation in logistics will be the norm for very large organisations. We can bring speed of execution, lower costs and smaller scale to organisations the world over.
What we can do
We achieve a universal setof hardware & software with short integration period.
Quick integration:
We have a chieved simulation training with unprecedentedly short duration of sim2real transfer (for our proof of concept - electric go-karts - it has taken one working day).
Delivery with speed:
Distant goal for fully autonomous transportation, short goal ‘sliding sight’ for driving without the need of micro-control: steering, accelerating and braking, micro-control itself available at the same time as short-goal driving.
Goal-oriented driving
Make any vehicle autonomous, quickly
What is unique about us
Innovative technological set
Remote control with low latency on regular internet, simultaneous autonomous and driven remotely, assessing algorithm between remote control and autonomous algorithm, training of autonomy carried out by ourselves in a simulation environment.
Proof of concept already under way
The technology is being tested on modified electric go-karts in a closed – off circuit, the ideal enclosed scenario for carrying out tests of semi-autonomy and human operation.
Our ML routine was carried out in an open-source simulation environment with great gains in speed of deployment.
Designing the human-machine collaboration
This proof of concept will allow us to develop the routines that distinguish operator and autonomous actions, which we can quickly transpose to a wide number of industrial and logistical environments.
Where are we
Proven technology
The software + hardware integration, algorithms controlling human inputs and autonomy, internet control are ready and functioning.
Proof of concept being rolled out
The proof of concept is a motorsports game with live electric go-karts driven over the internet in a game-like competition.
Integration with special- purpose vehicle
Experiments conducted on a forklift as another use case example.
Integration timeline - example
Mapping the environment in VR
Transfer trained models to hardware
Train the system in a virtual simulator
On-site roll out and model fine- tuning
1 week
1 week
1 month
2 weeks
Our system avoids of months of testing and training in the physical world.
Investment opportunity
Docet, the Cyprus-based venture studio, is the sole proprietor of H2iM and all its IP. We are welcoming investors to this seed stage keen on getting a foothold or strengthening their position in the area of human-vehicle cooperation systems.
H2iM business development cycle
H2iM is a subsidiary of the venture studio Docet TI.
  • Adapt and test the technology with a special purpose vehicle manufacturer
  • Determine the most promising use cases through research and pilot projects
  • Commercial implementation of the solution
  • Constant development of the technology through applications in different types of vehicles for both logistics and industry