


eyecan.ai Email Formats
Research Services • Bologna, Emilia-Romagna, Italy • 11-20 Employees
eyecan.ai Email Formats
eyecan.ai uses 4 email formats. The most common is {first name}.{last name} (e.g., john.doe@eyecan.ai), used 35.7% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name} | john.doe@eyecan.ai | 35.7% |
{first initial}.{last name} | j.doe@eyecan.ai | 28.6% |
{first initial}.{second initial}{last name} | j.odoe@eyecan.ai | 21.4% |
{first initial} | j@eyecan.ai | 14.3% |
Key Contact at eyecan.ai
Daniele De Gregorio
Ceo Co-Founder
Company overview
| Headquarters | Via Augusto Majani, 2, Bologna, Emilia Romagna 40122, IT |
| Phone number | +3903845851207 |
| Website | |
| NAICS | 5417 |
| Keywords | Research, Robotics, Artificial Intelligence, Deep Learning, Industrial Vision |
| Founded | 2019 |
| Employees | 11-20 |
About eyecan.ai
[Computer Vision, Deep Learning, Robotics] Artificial Intelligence applied to images today is able to work miracles. It can detect skin cancer, recognize the face and movements of thousands of people at once, generate completely fake videos that are indistinguishable from real ones, and even let cars drive themselves! In the industrial field it can help to recognize any type of object and also to identify its defects. But all this is not free! AI is a cost because you need hundreds of thousands of Training Images to make it work (and these are now generated manually by humans). Training an AI-based Industrial Vision system would therefore cost me too much because the time needed to produce the data would be excessive compared to classical methods. EYECAN offers a secret sauce: we developed a Robotic (patented) solution capable of generating hundreds of thousands of Training Images without human intervention in few minutes! This approach is 1000 times faster than the manual approach and produces perfect data (manual data contains errors) in a confidential manner (using labeling service for industrial data often violates non-disclosure agreements!). Our solution is complex, but basically we can convert any industrial robot (also collaborative robots), equipped with a camera, into a robot capable of training itself (or even other robots) to recognize any type of object (2D or 3D pose, pixelwise segmentation, depth prediction) without the need to write new software! Let's make AI great again! Eyecan.ai Srl – Via Fanin, 48, 40127, Bologna - CF/PIVA: 03845851207
Employees by Management Level
Total employees: 11-20
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eyecan.ai has 12 employees across 4 departments.
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eyecan.ai has never raised funding before.
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