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§ Private Profile · Seattle, WA, USA
Zeitworks is a technology company.
Zeitworks delivers a SaaS platform that employs machine learning for comprehensive business process analysis and enhancement. It excels in automated process discovery, providing granular insights into operational workflows. This capability allows organizations to precisely map how work transpires, pinpointing inefficiencies and fostering data-driven improvements across their entire enterprise.
Founded in 2019 by Jay Bartot, Matthew Holloway, and Brian Mitchell, Zeitworks was conceived from the insight that operational processes often lack transparent analysis. The founders aimed to apply their expertise to create a data-centric process intelligence solution, enabling companies to optimize their intricate work streams.
Zeitworks caters to businesses requiring deep visibility into their operational execution for strategic decision-making. The platform supports enterprises across various sectors focused on process transformation. Its vision involves pioneering the future of business process intelligence, empowering organizations to continually adapt and enhance their working methodologies.
Zeitworks has raised $9.0M across 3 funding rounds.
Zeitworks has raised $9.0M in total across 3 funding rounds.
Zeitworks has raised $9.0M across 3 funding rounds. Most recently, it raised $2.0M Other Equity in July 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jul 7, 2021 | $2M Venture Round | John LEE | Mike Fridgen | Announced |
| Jul 1, 2021 | $2M Series U | JAZZ Venture Partners | 75 & Sunny, Madrona Venture Group, Vanedgecapital Partners, Ravi Grover | Announced |
| Jun 1, 2020 | $5M Seed | Madrona Venture Group | 75 & Sunny, Daffy, Vanedgecapital Partners, Ravi Grover, Spencer Rascoff, JAZZ Venture Partners | Announced |
Zeitworks has raised $9.0M in total across 3 funding rounds.
Zeitworks's investors include John Lee, Mike Fridgen, Jazz Venture Partners, 75 & Sunny, Madrona Ventures, VanedgeCapital Partners, Ravi Grover, Daffy, Spencer Rascoff, JAZZ Venture Partners.
Zeitworks was a Seattle-based technology company that developed a SaaS platform for process intelligence, using automated data collection, machine learning, and AI-powered reporting to analyze repetitive business processes and boost productivity[1][2][3]. It targeted sectors like finance, HR, customer service, and back-office operations (e.g., loan processing or insurance claims), serving business leaders seeking workflow visibility without disrupting daily work[1][2]. The platform acted like a "fitness tracker" for teams, exposing bottlenecks, time-on-task metrics, inefficiencies, and legacy app usage to enable continuous optimization[1][2]. Founded around 2019-2020, it raised $4.5M in seed funding but ceased operations, marked as "Dead" in venture records[1][3].
Zeitworks emerged from Madrona Venture Labs (MVL), Madrona Venture Group's innovation arm, as part of their focus on machine learning and automation startups[2]. The idea stemmed from recognizing untapped potential in passively collected desktop data from repetitive tasks; early experiments with prototypes and pilot customers yielded promising insights into process patterns via ML algorithms[2]. Key to its formation was assembling a cross-disciplinary team in business development, data science, ML, Windows engineering, design, and product management[2]. A pivotal moment came with recruiting Ryan Windham—former CEO of AppXView and Cedexis (a Madrona portfolio company)—as CEO, who led the spin-out after securing a $4.5M seed round in 2020[2][3]. It launched a private beta amid pandemic-driven productivity demands but ultimately shut down[1][3].
Zeitworks rode the wave of process intelligence and AI-driven business optimization, a trend exploding post-2020 amid remote work and digital transformation pressures that amplified the need for visibility into hybrid team productivity[1][2][3]. Its timing capitalized on maturing ML for passive data analysis, addressing market forces like rising operational costs and the shift from manual consulting to automated tools in sectors burdened by legacy systems[1][2]. By emerging from Madrona Venture Labs, it exemplified how VC labs nurture vertical ML applications, influencing the Seattle tech ecosystem's strength in enterprise SaaS and automation—though its shutdown highlights risks in a competitive field dominated by incumbents like Celonis[1][2].
Zeitworks demonstrated early promise in automating process discovery but folded despite seed funding, likely due to intense competition and challenges achieving product-market fit in process mining[1][2]. Its legacy persists in validating ML for "invisible" workflow data, potentially inspiring acquisitions or team spin-outs into larger players. Looking ahead, trends like generative AI for hyper-personalized optimization and multimodal data (e.g., integrating video/logs) could revive similar ideas, but survivors will need defensible moats in enterprise sales. Zeitworks' story underscores the high-stakes race to turn productivity insights into scalable revenue— a reminder that even strong origins demand relentless execution in AI ops.