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Domain > lylaresearch.com
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More information on this domain is in
AlienVault OTX
Is this malicious?
Yes
No
DNS Resolutions
Date
IP Address
2025-09-06
3.170.73.49
(
ClassC
)
2025-12-14
18.161.6.48
(
ClassC
)
Port 80
HTTP/1.1 301 Moved PermanentlyServer: CloudFrontDate: Sun, 14 Dec 2025 20:32:30 GMTContent-Type: text/htmlContent-Length: 167Connection: keep-aliveLocation: https://lylaresearch.com/X-Cache: Redirect from cloudfrontVia: 1.1 f193acd25f2604e189bfbfaf539aaa06.cloudfront.net (CloudFront)X-Amz-Cf-Pop: HIO52-P1Alt-Svc: h3:443; ma86400X-Amz-Cf-Id: Eoi-iX_qOMdOe0_Ih5d58rIXeIx7R5PKuU1L71yi1wzTg7kA1qOOcA html>head>title>301 Moved Permanently/title>/head>body>center>h1>301 Moved Permanently/h1>/center>hr>center>CloudFront/center>/body>/html>
Port 443
HTTP/1.1 200 OKContent-Type: text/htmlContent-Length: 4728Connection: keep-aliveDate: Sun, 14 Dec 2025 20:32:32 GMTLast-Modified: Tue, 06 May 2025 05:42:45 GMTETag: d93e235e9d4a2b17311bdc982044c16bx-amz-server-side-encryption: AES256Accept-Ranges: bytesServer: AmazonS3X-Cache: Miss from cloudfrontVia: 1.1 b5695e36d7fbc522ece27885d73757ae.cloudfront.net (CloudFront)X-Amz-Cf-Pop: HIO52-P1Alt-Svc: h3:443; ma86400X-Amz-Cf-Id: eCzrKdCn_6M4oT2hIOWXU3qCmqOILyDvmQwXVKAjwPq_lmzfZm4Cmg !DOCTYPE html>html langen>head> meta charsetUTF-8> meta nameviewport contentwidthdevice-width, initial-scale1.0> title>Lyla Research/title> meta namedescription contentLyla Research combines AI, data science, and firefighting expertise to predict wildfire vulnerability with unmatched precision.> meta namekeywords contentwildfire resilience, AI wildfire prediction, wildfire data science, CalFire integration, NOAA data, USGS elevation, wildfire forecasting, fire safety, wildfire risk assessment, Tony Fraser, Christian Figureida, Tyler Grasmick, wildfire modeling, data-driven fire safety, climate-era forecasting> meta nameauthor contentLyla Research> style> body { font-family: Arial, sans-serif; margin: 0; padding: 0; } .navbar { display: flex; justify-content: center; background-color: #333; padding: 10px 0; } .navbar a { color: white; text-decoration: none; padding: 14px 20px; text-align: center; } .navbar a:hover { background-color: #575757; } .navbar a.logout { color: red; font-weight: bold; } .navbar a.logout:hover { background-color: #ff4d4d; } .content { text-align: center; margin-top: 50px; } .about-section, .data-integrations { margin-top: 50px; max-width: 800px; margin-left: auto; margin-right: auto; } .about-section { text-align: left; } .data-integrations { text-align: center; border: 1px solid black; border-radius: 10px; padding: 20px; } .data-integrations img { width: 200px; height: auto; } .data-integrations .logos { display: flex; justify-content: center; gap: 20px; margin-top: 30px; } /style>/head>body> div classnavbar> a href/>Welcome/a> a href/fire-research/>Fire Research/a> a href/secure/>Secure/a> /div> div classcontent> h1>Welcome to Lyla Research/h1> p>Wildfire resilience, powered by AI./p> div classabout-section> h2>About Us/h2> p> Lyla Research is where frontline firefighting meets frontier data science. We’re a team of engineers, scientists, and firefighters who have lived through the devastation of wildfires—and we know firsthand the urgency of this crisis. /p> p> Christian engineered a fire cart company to protect his home after two wildfires breached his property line in Santa Paula. Tyler, a volunteer firefighter, is launching a community-based fire response unit. And Tony—a cloud architect and AI specialist with 30 years of big data experience—just completed his master’s in Data Science with a 4.0 GPA. His thesis built an optimized Random Forest model that predicted wildfire destruction with 86% accuracy and an ROC-AUC of 0.9345, outperforming XGBoost and traditional methods alike. /p> p> Our first product is a precision forecasting engine that integrates elevation profiles, wind corridor simulations, historical burn patterns, and structural metadata to predict home vulnerability with unmatched precision. Traditional models rely on outdated rules of thumb. We’re replacing them with probabilistic forecasting engines built for the climate era. /p> p> We started with the integrations—CalFire, NOAA, USGS—because we’re a data-first company. Everyone else starts with spreadsheets. We started with the pipeline. /p> p>And we’re just getting started./p> /div> div classdata-integrations> h2>Data Integrations/h2> p>We are fully integrated and automated with the following data providers:/p> div classlogos> div> img src./images/calfire.png altCalFire Logo> /div> div> img src./images/noaa.png altNOAA Logo> /div> div> img src./images/usgs.png altUSGS Logo> /div> /div> /div> /div>/body>/html>
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