SightBit

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About

AI Systems For Smart Detection Of Adverse Situations In Water (Read more)

Team members: 2 (Read more)

Info

Technologies: Python, DL, Tensorflow

Category: Startup

Industry: Computer Software

Raising: $1,500,000

Project Timeline

Dec 31, 2019

Raised $400K in pre-seed

May 1, 2021

Pilot Tel Aviv

Jun 8, 2021

International Partner

Jul 30, 2021

Seed Round

Dec 15, 2021

International customer

Apr 12, 2022

Commercialize Scale up EU-US



Project Overview


                AI Systems For Smart Detection Of Adverse Situations In Water 

                Anywhere people meet water - Potential risk exists

Water accidents are the 3rd leading cause of accidental death worldwide

More than 400,000,000 incidents in water annually 

80% of them related to lack of supervision

The global cost of incidents in water 146B annually(Frontier’s report)


INTRODUCING: SightBit the AI-powered solution for prediction and prevention across all scenarios of  Human-Water Interface dangers.


            

Fund usage

SightBit Raised $400K in pre-seed funding. 

With this round, we will deploy the SightBit system around the world - Commercialize. 

There is already an initial commitment for $450K 


Traction:
- We have a pilot in Tel Aviv - In collaboration with CityZone. 
- Brand Awareness: SightBit has been covered by major newspapers - CNN, CNBC, BBC, YNET
- Market interest: Formal invitations from major clients worldwide.
- International strategic partner. 
  

Technical description

SightBit leverages AI & computer vision to save lives and revolutionize near water environments for safer cities.

Sightbit’s drowning-prevention system harnesses computer vision technology to warn of real-time threats to swimmers and improve operations. The system identifies, locates, and tracks individuals in the water, performing research analytics to identify risks to individuals. 

The system rapidly adapts to aquatic sites with any topography, population, and needs by learning typical conditions and behaviors in order to detect hazardous anomalies.  

About

AI Systems For Smart Detection Of Adverse Situations In Water (Read more)

Team members: 2 (Read more)

Info

Technologies: Python, DL, Tensorflow

Category: Startup

Industry: Computer Software

Tags:

Stage: Seed-capital

Funding: $1,500,000