OptimalPlus
Acquired
Analytics Automotive Electronics
Artificial Intelligence Computer Vision Machine Learning

Business Overview

DESCRIPTION

Optimal+ is the only Big Data analytics software company to provide an end-to-end product analytics solution for semiconductor and electronics companies. Our enterprise-grade platform delivers unique analytics on product data in a common, standardized language that enables brand owners and their suppliers to measurably improve all aspects of their products, from performance to quality and yield. Optimal+ has unmatched domain expertise in product analytics and manufacturing test operations for the semiconductor and electronics industries. We are passionate about enabling our customers to deliver better products as they embrace the IIoT and industry 4.0. To that end, we developed our groundbreaking product analytics platforms for the IIoT – big data software solutions that enable companies to listen to “the voice of the product” by leveraging their manufacturing data to deliver real-time insights and action. these critical insights can be quickly accessed and utilized by any business unit within the company for improving product quality and reliability with less waste and greater efficiency. With over 50 billion chips and boards processed annually, Optimal+ provides solutions that drive IIoT connectivity, enhance yield and productivity, reduce RMAs, and usher in an age of robust, long-term quality products.

FOUNDED
June 2005
EMPLOYEES
221
BUSINESS MODEL
B2B
OFFERING TYPE
Software
BUSINESS STAGE
Launched
REVENUE STATUS
Revenue Generating
TOTAL FUNDING
$83 Million
SECTORS
Analytics Automotive Electronics IIoT Industrial Industry 4.0 Manufacturing Semiconductor

Funding Rounds

Date Announced

Funding Round

Amount Raised

Investors

September 2015
$42 M

AI Technology Stack

AI EMPLOYEES
7
AI APPLICATION
Vertical AI
AI TYPES
Artificial Intelligence Computer Vision Machine Learning

CONTACT

Exit Event

TRANSACTION
Acquisition
DATE ANNOUNCED
June 2020
ACQUIRER
National Instruments
CONSIDERATION
$365 M