Vectored Photonics began operations on its lifesaving, smart-home for the elderly in 2016 with the award of a $500,000 R&D Grant from the Israel Ministry of Economics & Industry Office of the Cheif Scientist.  Evan Spero, as the CEO of an OEM lighting company, foresaw the control potential of new LED technology and patented "digital" delivery LED illumination which serves as the base of the electronic butler's personalized provision of services. In a marketing based pivot, he decided to take digital lighting technology a step further and combine it with autonomous artificial-intelligence expert-systems. The patented  "digital" delivery technology which serves as the base of the system technology has won R&D grants from two separate Israel Chief Scientist offices to develop the new energy delivery technology. The first grant was from the Ministry of Industry and Trade for the highly efficient optical system.  The second was from the Energy Ministry for a $280,000 program with 62.5% government subsidy for developing the AI system.

Traction 

• Google Launchpad graduate 
• Patented and Patent-Pending  
• 3 consecutive R&D grants for  $1.1 million 
• Began prototype α testing 
• Obtained market validation for the MVP fall and abuse alert product 
• BizLabs Accelerator graduate

Our Business

Business Description: Vectored Photonics Ltd. aims to develop an enabling platform technology for the personalized contextual monitoring and control of safe, comfortable, and energy-efficient living or working environments. The disruptive cyber/physical ambient-intelligence technology, is capable of creating in essence, the “driverless” home. The company plans to initially target via B2B sales the elderly digital-health market with a professionally installed version called i-attendant™. The device’s lifesaving "killer" app offers non-contact (the senior does not need to wear anything) fall prevention and detection for the elderly and includes: automatic call captioning, an automatically operated night-light for fall prevention during mid-night excursions and a security camera add-on for fall detection.  The app notifies emergency personnel and family via dual, voice and video channels if the senior does not respond. The total addressable market, TAM for the initial nursing home product - 30% of the 15,600 US homes (nonprofit ownership of the some 1.4 million occupied beds) is $467 million . The business model foresees revenue generation from the sale of hardware as well as a subscription model for elderly wellbeing and continuing care.

Who We Are

Evan Spero BScME & MBA.

Received his mechanical engineering bachelor's degree from Case Western Reserve University and worked as an engineer in green energy and the US lighting industry. After moving to Israel, he performed research in MHD energy systems at Ben Gurion University, publishing numerous academic journal articles and working on the US "Star Wars" program. Receiving an MBA from NY Poly specializing in new product development and marketing, he opened a lighting fixture & pole manufacturing company which he ran for ten years till it was sold in order to enable entry into hi-tech arena. With a patent and a grant from the Israel government incubator program he co-founded a startup in the advanced technology LED signage field. The company sold over 1.5 million solar energy illuminated house numbers via US DIY stores. Most recently, before founding Vectored, he served as the online marketing manager for a major engineered-polymer company in the US. Evan has numerous patents, ranging from space-based power plants to AI based automation systems.

Dr. Royi Itzhak, PHD

Algorithm and Machine Learning Consultant. Background: Royi is a computer vision algorithm developer and machine learning expert with a Ph.D in Applied Math. He has over 15 years of experience in AI and data mining at companies such as Mobileye and Correlor Technologies. Leveraging his vast hands-on experience combined with an academic research background, he designed and managed numerous projects with AT&T, Fiverr, and military technology companies. Leading a team of 5-10 data scientists he delivered projects from the definition stage to the production stage.