Upstream Tech
Highly Engaged Employees
Highly Engaged EmployeesBusiness Intelligence (BI) Software · Massachusetts, United States · 11-50 Employees
View Company Info for Free
Overview
Headquarters
444 Somerville Ave, Somerville, Massachu...Phone Number
(508) 233-2330Website
upstream.techRevenue
<$5 MillionIndustry
About Upstream Tech
Founded in 2016 and based in La Habra, California, Upstream Tech is a US-based public benefit corporation that builds environmental decision-support technologies. Upstream Tech is a subsidiary of Natel Energy with a team from a diverse range of backgrounds including machine learning engineering, hydrology, distributed computing/computer science, water resource engineering, and conservation finance. This range of expertise enables Upstream Tech to harness technological advancements in remote sensing, computer science, and machine learning to create technologies and services that support complex and multi-stakeholder processes.Explore more
Upstream Tech Org Chart
Sell smarter with deeper company insights.
ZoomInfo gives you access to real-time firmographics, buying signals, org charts, and decision-makers - helping your GTM teams prioritize accounts, personalize outreach with AI-driven automation, and close deals faster.
Compare Similar Companies to Upstream Tech
Compare insights from companies similar to Upstream Tech, focusing on performance, financial data, growth rates, and unique benchmarks to identify key industry trends and opportunities.
Revenue
Number of Employees
Type
Funding
Founded In
Upstream Tech Tech Stack
A closer look at the technologies used by Upstream Tech
Top Business Intelligence (BI) Software Companies
See more top companies
Frequently Asked Questions Regarding Upstream Tech
Sign Up For FreeTo access detailed company insights
Founded in 2016 and based in La Habra, California, Upstream Tech is a US-based public benefit corporation that builds environmental decision-support technologies. Upstream Tech is a subsidiary of Natel Energy with a team from a diverse range of backgrounds including machine learning engineering, hydrology, distributed computing/computer science, wa... Read More
