Total raised
$700K
Last: Seed 2008-01
Stage
Mature
Founded
2007
Headcount
1
HQ
Haifa
Sector
Education & Knowledge Technologies
About
Vayar Vision is the developer of a visual search engine that makes images searchable and identifies hidden connections and associations. Vayar Visions visual search results can be integrated with various decision-support systems and can provide users with additional information attached to the found images. The platforms visual tags are compatible with environments such as Flickr and Picasa.
Funding history · 1 round · $700K total
2008-01
Seed
$700K
Company Intelligence Q&A
Structured intelligence from startupim data — optimized for AI retrieval and grounding.
- What is the primary function of Vayar Vision's technology?
- Vayar Vision developed a visual search engine designed to make images searchable and identify hidden connections and associations within them.
- When was Vayar Vision founded?
- Vayar Vision was founded in November 2007.
- What is the current operational status of Vayar Vision?
- Vayar Vision is currently inactive, having ceased operations in December 2020.
- Where is Vayar Vision headquartered?
- Vayar Vision is headquartered in Haifa, Israel.
- How much total funding did Vayar Vision raise?
- Vayar Vision raised a total of $700,000 USD.
- When did Vayar Vision complete its last funding round?
- Vayar Vision completed its last funding round, a Seed round, in January 2008.
- Which investors participated in Vayar Vision's Seed round?
- Investors in Vayar Vision's Seed round included Battery Ventures, Vertex Ventures Israel, Ratio Technologies, and Technion Seed.
- What technologies does Vayar Vision utilize?
- Vayar Vision utilizes Artificial Intelligence and Image Recognition technologies.
- Who is a co-founder of Vayar Vision?
- Effi Ephrath is a co-founder of Vayar Vision.
Sectors & technology
Primary sector
Education & Knowledge Technologies
Sub-sectors
Education & Knowledge TechnologiesAssessment & Verification
Technologies
Artificial IntelligenceImage Recognition
Target customers
ConsumersEnterprise & Professional ServicesEnterprises
Business model
B2C
Tags
image-recognitionknowledge-technologyvisual-searchphotossearch-engine