Infoneto

Semantic Search and Hebrew Text Analysis

Business Software
Active
Mature Modi'in-Maccabim-Re'ut, Israel Founded 2000
Last updated 2026-06-18
Total raised
Stage
Mature
Founded
2000
Headcount
6
HQ
Modi'in-Maccabim-Re'ut, Israel
Sector
Business Software

About

Infoneto produces semantic search technology using text parsing based on human feedback on millions of records. The company is best known for its CVNext requirement system (ATS), which is currently used by customers including Marvell, Nice, ICL, Protalix, Aeronautics, Taldor, Aman, One1, Log-On, Calanit, Delek, Menora Movtahim, All Jobs, Hilan Tech, and Renuar. Infoneto is also the developer of a Hebrew natural-language processing cloud service that offers a variety of services to handle Hebrew text analysis.

Q&A

What is Infoneto's primary business?
Infoneto specializes in semantic search technology and Hebrew text analysis. Their flagship product is the CVNext requirement system (ATS).
What is Infoneto's main product offering?
Infoneto's main product is the CVNext requirement system (ATS), which is used by various customers for recruitment and human resources management.
Which notable companies use Infoneto's CVNext system?
Customers using Infoneto's CVNext system include Marvell, Nice, ICL, Protalix, Aeronautics, Taldor, Aman, One1, Log-On, Calanit, Delek, Menora Movtahim, All Jobs, Hilan Tech, and Renuar.
What other technology does Infoneto develop?
Infoneto is also the developer of a Hebrew natural-language processing cloud service designed for Hebrew text analysis.
When was Infoneto founded?
Infoneto was founded in May 2000.
Who is the Founder and CEO of Infoneto?
Roey Almog is the Founder and CEO of Infoneto.
What is Infoneto's primary sector?
Infoneto's primary sector is Business Software.

Team · 1

Founder · Founder & CEO
LinkedIn ↗

Sectors & technology

Primary sector
Business Software
Sub-sectors
Business SoftwareOperations SolutionsHuman Resources ManagementIT, R&D & Data SolutionsData Analysis & Decision Support
Technologies
Artificial IntelligenceNatural Language ProcessingMachine Learning
Target customers
Enterprise & Professional ServicesEnterprises
Business model
B2B

Highlights

Verified

Tags

knowledge-technologysearch-enginesemantic-searchrecruitmentbig-datanatural-language-processinghrmachine-learningdeep-learningenterprisessmbartificial-intelligenceenterprise-solutions
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