prooV
Active

The smarter, fully-secure way to evaluate and adopt new technology, prooV is fast-tracking innovation in the world’s leading enterprises.

Autonomous Software Testing, Synthetic Data
Deep Learning Natural Language Processing

Business Overview

prooV is the smarter, faster, fully-secure way for enterprises to evaluate and adopt the right new technology. 

prooV’s end-to-end solution empowers companies to run multiple proofs-of-concept from multiple vendors simultaneously. By centralizing the PoC process, prooV shortens the time from discovery to deployment by about 75%, so the enterprise can adopt new technology while it is still new. prooV’s patented mirroring technology for data, API calls and traffic, enables effective evaluation while always staying regulation compliant. The smart integration technology, behavioral prediction analytics, and other breakthrough features offer game-changing business insights and significantly higher ROI from the PoC.

With the prooV PoC platform, clients define their own technical and business KPIs to serve as the basis for evaluation and to best aid decision making and successful deployment. The platform also includes modules for user experience testing and secure deep integration.

Founded
May 2015
Employees
40
Business model
B2B
Offering type
Software
Funding stage
Series B
Business stage
Launched
Total funding
$21 Million
Sectors
Autonomous Software Testing, Synthetic Data

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.
Funding Growth Multiple
2.0x

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

September 2016
Series A
$7 M

AI Technology Stack

AI Description

We employ Deep Mirroring technology that generates mimicked PoC data to populate our testing environments. The patented Deep Mirroring technology learns sophisticated data structures and high-level relationships between data using classification algorithms such as Natural Language Processing (NLP) and Gaussian Mixture Model (GMM), along with deep learning and data science technologies.

AI application
Horizontal AI
AI types
Deep Learning, Natural Language Processing
AI algorithms
Gaussian Mixture Model

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