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Uplevel provides an enterprise-grade data-driven platform that helps large organizations, especially engineering leaders and CTOs, quantify and improve the effectiveness of their software teams. The platform uses data science to analyze engineering activity and outcomes, delivering actionable insights without requiring manual processes or excessive dashboards. It helps with allocating developer time more effectively and improving project management, all through a subscription-based service tailored to each organization’s challenges. What sets Uplevel apart is its focus on the human side of software engineering and its ability to align investments with desired outcomes for engineering teams at scale. The company’s goal is to change how software engineering is done by accelerating the impact of next-generation engineering leadership.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Early VC
Total Funding
$38.1M
Headquarters
Seattle, Washington
Founded
2018
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Total Funding
$38.1M
Above
Industry Average
Funded Over
4 Rounds
Health Insurance
Paid Vacation
Commuter Benefits
Wellness Program
Professional Development Budget
Uplevel System Now Blends Trusted Analytics with New Change Enablement Offering — so Organizations Can Turn Engineering Data into Direction that Impacts Their BusinessesSEATTLE, Jan. 15, 2025 /PRNewswire/ -- Numbers are powerful, but they can't solve everything. So, Uplevel, the engineering optimization system , has added the Uplevel Method, a hands-on practice to help companies turn engineering metrics into meaningful change.The Uplevel Method complements Uplevel's core engineering intelligence platform. Now, with the holistic Uplevel system , companies can combine actionable data with expert guidance to build more effective engineering cultures, tackle productivity challenges head-on, and deliver value to their organizations faster."Big organizations are drowning in data and still struggle to drive meaningful improvement. The challenge is turning data into action that sticks," said Joe Levy, Uplevel CEO. "That's why we've introduced a complete solution: expanding our platform to include a system of iterative change enablement that supports transformation
Uplevelteam has added a new section to the Uplevel dashboard, amplifying visibility into key insights around Cycle Time, PR practices, and Release Frequency.
Engineering Intelligence Platform that combines ML and comprehensive engineering analytics, turning data from standard developer tools into actionable insights for improving organizational health. . “The insights from this survey show us that CTOs and developers need a better way to more effectively communicate and share metrics about people, process, and operational health across the organization.” - Joe Levy, CEO, Uplevel
That’s why Uplevelteam is excited to announce two major updates to the Allocation Insights page on the Uplevel Executive Dashboard: Org Deep Dive and Jira Deep Dive.
(Bigstock Image)When Seattle startup Uplevel adopted a four-day week in January, it was betting on the fact that employees would get the same amount done in less time. “We were interested in seeing how the decrease in working days would push people to be more efficient,” said Jori Maurer, vice president of marketing and people at Uplevel. The experiment exceeded expectations: during a three-month trial period, the company saw higher product delivery volume and onboarded more customers than ever, according to an internal report. Not one employee expressed a desire to go back to a five-day week. The company still has a four-day work week policy in place. The results at Uplevel — which, fittingly, aims to help organizations meet their goals without burning out engineers — align with the findings of a global study published last month that surveyed more than 900 employees at 33 companies who had participated in a pilot program coordinated by the nonprofit 4 Day Week Global. Overall, the study found that a shorter week did wonders for people’s mental and physical health, with no significant downsides for employers
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Early VC
Total Funding
$38.1M
Headquarters
Seattle, Washington
Founded
2018
Find jobs on Simplify and start your career today