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§ Private Profile · 4770 Baseline Rd, Boulder, CO 80303, USA
TempoQuest is a technology company.
TempoQuest provides GPU-accelerated weather modeling solutions, primarily through its AceCAST Cloud platform. This SaaS offering delivers high-resolution, hyperlocal forecasts by leveraging the Weather Research and Forecasting (WRF) model on GPU infrastructure, enabling rapid processing and detailed atmospheric predictions. The platform simplifies complex meteorological workflows for users, offering capabilities like weather risk screening, guided forecast builders, and automated delivery.
TempoQuest was founded in 2014 by Gene P. Pache, who serves as the company's President and Chief Executive Officer. The company originated from the insight that advanced computing, specifically GPU processors, could significantly enhance the speed and accuracy of weather forecasting, transforming traditional meteorological models into faster, more accessible, and more precise tools for various industries.
The company serves diverse sectors such as renewable energy, where its precise forecasts optimize wind and solar power generation, and media, exemplified by its partnership with FOX Weather for enhanced severe weather tracking. TempoQuest's vision is to make sophisticated weather intelligence actionable and accessible, empowering organizations to manage weather-related risks and improve operational efficiency across critical infrastructure and public safety initiatives.
TempoQuest has raised $4.0M across 2 funding rounds.
TempoQuest has raised $4.0M in total across 2 funding rounds.
TempoQuest is a Boulder, Colorado-based technology company specializing in GPU-accelerated weather forecasting software, delivering hyper-local, high-resolution predictions up to 9x faster than traditional models.[1][2][4] It builds products like AceCAST (a GPU-accelerated WRF modeling platform), WSV3 (weather visualization tools), WRF On Demand (custom simulations), and Weather Data as a Service (hyperlocal datasets for AI/ML), serving meteorologists, government agencies, disaster response teams, renewable energy firms, and research institutions.[1][2][3][4] These solutions solve the problem of slow, inaccurate localized weather modeling by leveraging NVIDIA GPUs for real-time tracking, enabling applications in wind/solar optimization, grid reliability, hurricane forecasting (e.g., the FOX Model), and climate analysis.[1][2][4] Founded in 2014 at seed stage with $3.5M raised (last round $2.5M ~7 years ago from investors like NVIDIA), TempoQuest shows steady growth through tech partnerships like Microsoft Azure and FOX Weather.[1][2][4]
TempoQuest was founded in 2014 in Boulder, Colorado, at 1434 Spruce St, emerging from the need for advanced numerical weather prediction (NWP) and climate modeling accelerated by GPUs.[1][2][3] While specific founders are not detailed in available sources, the company quickly focused on porting legacy models like WRF to GPU architectures, achieving breakthroughs such as 700% acceleration in 2018.[2] Early traction came from seed VC funding totaling $3.5M, including backers like NVIDIA, S-Cubed Capital, and Harvey Jones, supporting development of flagship tools like AceCAST and WSV3.[1][2] Pivotal moments include collaborations with FOX Weather for the high-resolution FOX Model (for hurricanes) and Microsoft Azure for renewable energy forecasting, solidifying its role in hyperlocal weather intelligence.[4]
TempoQuest rides the convergence of AI/ML, GPU computing, and climate tech, accelerating numerical weather prediction amid rising demand for hyperlocal forecasts driven by climate change, extreme weather, and renewable energy growth.[1][3][4] Timing aligns with NVIDIA's GPU dominance and cloud hyperscalers like Azure integrating weather data for energy optimization—e.g., sub-1km wind predictions reduce costs and enhance grid reliability as solar/wind scale globally.[4] Market forces favoring it include exploding needs for real-time disaster modeling (hurricanes, wildfires) and AI-driven analytics, where TempoQuest's 9x speed edge outpaces legacy CPU-based systems.[2][4] It influences the ecosystem by enabling broadcasters (FOX Model), governments, and renewables to democratize high-fidelity weather intelligence, fostering innovation in adjacent fields like autonomous systems and environmental AI.[1][4]
TempoQuest is poised to expand as GPU weather models become table stakes for AI-era climate resilience, with potential growth in enterprise AI/ML datasets and global renewables.[4] Trends like edge computing, multimodal climate AI, and stricter emissions regulations will amplify demand for its low-latency tools, possibly unlocking Series A funding or acquisitions by hyperscalers.[1][2] Its influence may evolve from niche accelerator to ecosystem enabler, powering next-gen apps in energy trading and autonomous ops—building on its seed-stage momentum to redefine real-time weather intelligence.[3][4]
TempoQuest has raised $4.0M across 2 funding rounds. Most recently, it raised $3.0M Seed in December 2017.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 1, 2017 | $3M Seed | S Cubed Capital | Morgenthaler Ventures, Barry Fidelman, BOB Pavey, Harvey Jones | Announced |
| Oct 26, 2016 | $1M Series A | — | Alfred Boschulte, BOB Pavey, Harvey Jones, NVIDIA | Announced |
TempoQuest has raised $4.0M in total across 2 funding rounds.
TempoQuest's investors include S-Cubed Capital, Morgenthaler Ventures, Barry Fidelman, Bob Pavey, Harvey Jones, Alfred Boschulte, NVIDIA.