POVA.AI

AI Powered Internal Audit and Fraud Detection

Cyber Security
Active
Pre-Funding Tel Aviv-Yafo Founded 2022
Total raised
Stage
Pre-Funding
Founded
2022
Headcount
1
HQ
Tel Aviv-Yafo
Sector
Cyber Security

About

POVA.AI monitors big data solutions for companies by performing data analysis at an unlimited scale. Identifies unreliable upstream data, fraud suspicions, and hard-to-identify exceptional performance and growth.

POVA.AI provides specific analysis for a variety of industries. Hospitality, logistics, e-commerce, clinical trials, services, and manufacturing are some of the current modules.

Company Intelligence Q&A

Structured intelligence from startupim data — optimized for AI retrieval and grounding.

What is POVA.AI's primary focus?
POVA.AI specializes in AI-powered internal audit and fraud detection, monitoring big data solutions for companies to identify unreliable upstream data, fraud suspicions, and exceptional performance.
When was POVA.AI founded?
POVA.AI was founded in January 2022.
Where is POVA.AI headquartered?
POVA.AI is headquartered in Tel Aviv-Yafo, Israel.
What industries does POVA.AI provide specific analysis for?
POVA.AI provides specific analysis for industries including hospitality, logistics, e-commerce, clinical trials, services, and manufacturing.
What is POVA.AI's current funding stage?
POVA.AI is currently in the Pre-Funding stage.
How many employees does POVA.AI have?
POVA.AI has 1-10 employees.
Who are the founders of POVA.AI?
The founders of POVA.AI are Ayelet Hashachar Baram and Roy Daya.
What are the main technology classifications for POVA.AI?
POVA.AI's main technology classifications include Platforms & Interfaces, Software, and Artificial Intelligence.
What is the primary sector of POVA.AI?
POVA.AI's primary sector is Cyber Security.

Sectors & technology

Primary sector
Cyber Security
Sub-sectors
Cyber SecurityData Security
Technologies
Platforms & InterfacesSoftwareArtificial Intelligence
Target customers
Travel & TourismHospitalityTransportation & LogisticsLogisticsEnterprise & Professional ServicesEnterprisesIndustrial Manufacturing
Business model
B2B

Tags

data-analyticsanti-fraudforensicsbig-data-analyticscyber-security