--- title: "Uplevel | Engineering Intelligence Meets Human Intelligence" description: "Uplevel is an engineering intelligence platform that helps enterprise engineering leaders find root causes, build capability, and navigate change." type: article version: 3 version_id: "b884866b-a8b1-4d5d-9f45-071785c4d6d8" generated_at: "2026-06-26T05:43:08.958Z" language: en reading_time: "9 min" word_count: 1684 keywords: ["Engineering Intelligence Meets Human Intelligence", "What Uplevel does", "Frequently asked questions", "Stay up to date"] url: "https://uplevelteam.com/company" --- # Uplevel | Engineering Intelligence Meets Human Intelligence > Uplevel is an engineering intelligence platform that helps enterprise engineering leaders find root causes, build capability, and navigate change. ## Key Takeaways - A new challenge for engineering leaders - What Uplevel does - WHO WE WORK WITH - Results - HOW AN UPLEVEL ENGAGEMENT WORKS ABOUT UPLEVEL # Engineering intelligence meets human intelligence Uplevel is a system of transformation for enterprise engineering organizations. Combining engineering intelligence software with human expertise and capability building, we help software teams maximize AI impact and reap the benefits of an agentic SDLC. We serve VPs and directors of engineering at mid-to-large companies who are under pressure to prove ROI on engineering investment, operationalize AI, and answer for engineering performance in business terms their executives understand.  FOUNDED 2018     LOCATION SEATTLE     CUSTOMERS ENTERPRISE ENGINEERING ORGS, 500+ DEVS THE MARKET PROBLEM ## A new challenge for engineering leaders AI has changed the math on engineering productivity in ways that are hard to reason about. Code generation is faster. Deployment pipelines, review processes, planning cycles, and team coordination often absorb the gains — or amplify existing dysfunction. Whether AI is accelerating delivery or accelerating dysfunction depends on what was already true about an organization before the tools arrived. Engineering leaders today understand the assignment: adopt AI, prove ROI, keep the lights on, and modernize — simultaneously. The difficulty is operationalizing it. Every organization will look different by 2030. There is no universal playbook. And the cost of course-correcting late is significant enough that figuring out which path you're on before acting is worth the time.  ## What Uplevel does Uplevel combines measurement, context, and capability building — three elements that, practiced separately, tend to produce only partial results. The integrated model came from [what we learned in our earliest years](/about): starting with developer wellbeing data revealed that engineering leaders could see their problems clearly and still lack the tools to fix them. Uplevel is built to close that gap. [ ### See Measurement gives engineering leaders a continuous, system-wide view of how work moves through their organization: where time goes, where cycles slow, where AI tools are generating real productivity and where they're creating new bottlenecks. Uplevel integrates with the tools engineering teams already use and aggregates data at the team and organizational level. ](https://uplevelteam.com/product/see) [ ### Solve Context is where the work gets specific. Data surfaces patterns. Explaining them requires a different kind of analysis. Uplevel's experts conduct structured qualitative assessment alongside the platform data to surface root causes — the organizational, process, and behavioral dynamics that quantitative signals point toward but can't fully explain on their own. ](https://uplevelteam.com/product/solve) [ ### Sustain Capability building is how we define success. Uplevel's model is designed to leave engineering organizations more self-sufficient, not more reliant on outside expertise. Teams develop the muscle to identify problems early, prioritize interventions, and sustain improvement through whatever changes follow — including AI-driven shifts that haven't happened yet. ](https://uplevelteam.com/product/sustain) [](https://uplevelteam.com/product-how-it-works) ## WHO WE WORK WITH ### Leaders who need more than a dashboard and know it. Uplevel works with enterprise engineering organizations of 500+ developers. The leaders we serve are accountable for proving the value of engineering investment to executives who think in P&L terms, and for building delivery capability in an environment that keeps shifting. Our customers tend to operate in industries where the software they build is business-critical but not the core product — organizations where a deployment failure carries real liability, where regulatory requirements shape engineering decisions, and where transformation pressure is high.  Fit tends to be strongest when an engineering leader can name specific delivery problems but hasn't been able to get to root causes — and needs to make that case in business language, not engineering terms. Leaders who come to Uplevel expecting "just" a dashboard find a mismatch, as do leaders whose instinct is to reach for the next tool rather than examine the system the tools are operating inside. Transformation work requires willingness to look at organizational dynamics alongside technical ones. ## Results Before and after, in the language executives understand.    Enterprise healthcare platform · 10M customers Accolade increased production deployments by 205% and developer focus time by 20%, giving engineering teams the capacity to deliver the data platform and ML model work the business required.  Tax compliance · 200+ engineering teams Avalara improved deployment frequency by 1,100% and cut merge request cycle time from 4 weeks to 3 hours — while keeping bug rates stable throughout a major infrastructure migration.  Sales performance management  Xactly increased available development time by 17% after surfacing how unplanned work — ad hoc Slack requests, unscheduled meetings — was consuming engineering capacity that had no visibility in prior reporting. #### Anonymized Distributed hardware infrastructure Based on Uplevel's recommendations, this organization built an AI enablement program around dev-to-dev knowledge sharing, an enhanced shared agentic layer, and expanded AI coding standards — reducing PR cycle time by 10%. ## HOW AN UPLEVEL ENGAGEMENT WORKS ### From diagnostic to durable change ### Diagnostic A typical engagement starts with [StackUp](/stackup): a free diagnostic that surfaces where your organization stands on AI maturity and identifies where the biggest leverage points for improvement are — no tool integration or infosec review required. * * *  ### Solutioning & Implementation GearUp combines engineering system data with developer surveys, structured interviews, and team workshops to surface root causes, pressure-test solutions, and produce an executive-ready AI transformation roadmap grounded in what works for your organization. * * *  ### Sustainability Over time, the engagement shifts toward sustainability. With Uplevel Enterprise, teams develop the habits and processes to identify emerging problems early, before they require outside analysis. The measure of a successful engagement is whether an organization can navigate data-driven change independently — including the next wave of AI tooling and the next strategic pivot. [](https://uplevelteam.com/stackup)  ## Frequently asked questions Real answers. ##### What is Uplevel? Uplevel is an engineering intelligence platform that combines measurement, expert qualitative analysis, and capability-building methodology to help enterprise engineering leaders improve delivery performance and sustain that improvement over time. Founded in 2018 and based in Seattle, Uplevel works with mid-to-large engineering organizations — typically 500+ developers — where engineering output is business-critical and the stakes of getting AI adoption wrong are high. ##### What is engineering intelligence? Engineering intelligence is the practice of integrating data from engineering tools — version control, work management, CI/CD, calendar, chat, incident response, and others — to give leaders a coherent view of how work moves through their organization. The term covers both the measurement infrastructure and the analytical layer that turns raw signals into actionable insight. Uplevel extends this to include the qualitative context and change methodology that convert insight into lasting organizational improvement. ##### What does Uplevel measure? Uplevel measures engineering effectiveness across four dimensions — the [WAVE framework](/resources/engineering-kpis-wave): Ways of Working, Alignment, Velocity, and Environment Efficiency. This includes developer focus time, planning predictability, pull request cycle time, change failure rates, code quality metrics, and AI tool adoption patterns. The platform integrates data from tools engineering teams already use and aggregates at the team and organizational level. ##### How is Uplevel different from an engineering metrics platform? Engineering metrics platforms surface data. Uplevel pairs that data with expert qualitative analysis and a structured change methodology. The platform tells you what is happening. The expert layer tells you why. The methodology translates that into prioritized action and builds the organizational muscle to sustain change. The gap between insight and lasting improvement is where most measurement-only approaches stall — and where Uplevel's work begins. ##### How does Uplevel approach AI adoption in engineering? Uplevel treats AI adoption as an organizational change challenge. The platform measures AI tool usage and its downstream effects across the SDLC — where AI is accelerating delivery and where it's creating new bottlenecks in review, planning, or deployment. Uplevel research shows that 85% of developers use AI tools daily, but only 2% of companies can measure the impact. That gap is where organizations get into trouble: adopting tools broadly without the visibility to know whether they're helping or compounding existing problems. ##### What types of organizations does Uplevel work with? Uplevel works with enterprise engineering organizations, typically 500+ developers. A common profile: companies in regulated industries — healthcare, tax, financial services, revenue management — where software is business-critical but not the core product, and where the pressure to transform quickly creates growing pains. These are organizations where a failed deployment carries significant downstream consequences, and where engineering leaders need to explain their investments in terms that connect to business outcomes. ##### Does Uplevel work alongside existing tools? Uplevel integrates with the tools engineering teams already use — Jira, Azure DevOps, GitHub, GitLab, Slack, Google Calendar, and others. The goal is to make existing investments more useful by combining the signals they generate into a coherent picture of delivery performance. Tool integrations are set up as part of the engagement, after initial diagnostic work is underway. ##### How does Uplevel handle developer privacy? Uplevel aggregates data at the team and organizational level. The platform is built for leaders making systemic decisions, and individual engineer data is handled with that context in mind. Uplevel does not surface productivity rankings or enable individual performance monitoring. The platform is SOC 2 Type 2, GDPR, and CCPA compliant, with configurable data handling for organizations with specific security or compliance requirements. ##### How do I know if Uplevel is the right fit? StackUp is the fastest way to find out. It's a short diagnostic that shows where your organization stands on AI effectiveness relative to peers and surfaces whether the gaps Uplevel addresses are the ones you're actually facing. No sales conversation required — just a clear starting point for deciding whether to go further. [Take the StackUp assessment →](/stackup) ##### What does an Uplevel engagement cost? Pricing reflects the scope of the engagement. Uplevel's model is structured so that organizations pay less over time as their capability grows — the goal is self-sufficiency, not subscription dependency. Pricing is discussed after StackUp provides enough context to scope the engagement accurately. START WITH A DIAGNOSTIC ## See where you stand. Decide whether to go further. [ STACKUP · 10-MINUTE DIAGNOSTIC ### Take the StackUp assessment A 10-minute diagnostic that shows where your organization stands on AI effectiveness and identifies whether the gaps Uplevel addresses are the ones you're facing. Actionable findings regardless of what you decide to do next. Run the diagnostic ](https://uplevelteam.com/stackup) [ HAVE MORE QUESTIONS? ### Talk to us We'd love to learn more about your organization — if we're not a good fit, we'll say so.  Start a conversation ](https://uplevelteam.com/demo) --- ## About This Content **Source:** [Uplevel | Engineering Intelligence Meets Human Intelligence](https://uplevelteam.com/company) *This content is provided for informational purposes. Please visit the original source for the most up-to-date information.*