Scientra

Real-Time Prediction Tool

Business Software
Non Active, Jun 2016
Pre-Funding Bnei Brak, Israel Founded 2013
LinkedIn
Last updated 2026-06-18
Total raised
—
Stage
Pre-Funding
Founded
2013
Headcount
31
HQ
Bnei Brak, Israel
Sector
Business Software

About

Scientra is a startup (currently still in stealth-mode) that is redefining the frontiers of real-time prediction in a challenging market. Itsstrategic advantage is a core of highly talented researchers and engineers with years of experience in both industry and academia. They aredeveloping groundbreaking implementations of machine learning, distributed processing and other computational tools that are changing the rules of the game and the performance boundaries.

Q&A

What is Scientra's primary business focus?
Scientra is a startup focused on redefining real-time prediction using groundbreaking implementations of machine learning, distributed processing, and other computational tools.
When was Scientra founded?
Scientra was founded in August 2013.
What is the current status of Scientra?
Scientra is currently inactive, with its status changed in June 2016.
Where is Scientra's headquarters located?
Scientra's headquarters is located in Bnei Brak, Center District, Israel.
What is Scientra's employee count?
Scientra has an employee count in the 11-50 range.
What industry sectors does Scientra operate in?
Scientra operates in the Business Software, IT, R&D & Data Solutions, Data Analysis & Decision Support, and Data Architecture sectors.
What technologies does Scientra utilize?
Scientra utilizes technologies such as Platforms & Interfaces, Software, Artificial Intelligence, and Machine Learning.
What are Scientra's target customer industries?
Scientra targets customers in the Media & Entertainment and Gaming Industry sectors.

Team · 1

Yaniv Nissenboim
Founder · Co-founder & CEO
LinkedIn ↗

Sectors & technology

Primary sector
Business Software
Sub-sectors
Business SoftwareIT, R&D & Data SolutionsData Analysis & Decision SupportData Architecture
Technologies
Platforms & InterfacesSoftwareArtificial IntelligenceMachine Learning
Target customers
Media & EntertainmentGaming Industry
Business model
B2B

Tags

machine-learningbig-datapredictive-analytics
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