• Fusing data and aerospace to protect the world’s energy infrastructure.
  • Fusing data and aerospace to protect the world’s energy infrastructure.
  • Fusing data and aerospace to protect the world’s energy infrastructure.
Our Product
Enview automates the generation and delivery of insights to support the operational safety and reliability of pipelines and powerlines. We combine our deep expertise in advanced data analytics, remote sensing, and geospatial big data to prevent threats from becoming incidents that impact families, businesses, and the environment.
See The Invisible
Intelligent algorithms fuse and analyze multiple sensor sources to see more than the human eye.
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Predictive Insights
Predictive analytics use today's data to identify future threats before they can have an impact.
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Intuitive Reporting
GIS and elegant data visualizations tell complex stories that support risk-based decision making.
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Our Team
Enview’s team shares a passion and deep experience for solving challenging problems that have meaningful real-world impacts.
San Gunawardana
Co-Founder & CEO
After finishing a PhD in aerospace engineering at Stanford, San went to Afghanistan where he combined data analytics and remote sensing to detect threats and prevent incidents. San is excited to apply those insights to help the energy sector solve impactful problems. San has done computer vision at NASA, built imaging satellites with the Air Force, and was an early employee at ICON Aircraft.
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Krassimir Piperkov
Co-Founder & COO
Krassimir is applying his 13+ years of experience in corporate strategy and aerospace to grow Enview’s business. He was previously Director of Strategy and Business Development at ICON Aircraft, where he assisted in closing about $100M in venture financing. Krassimir holds an MBA from Stanford GSB. He is also an avid airplane and UAV pilot.
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Eleanor Crane
Analytics Architect
Eleanor has a PhD in aerospace engineering from Stanford where she did computer vision and Bayesian inference for hazard detection. She has worked at JPL and NASA on spacecraft that were sent to the Moon and Mars, contributing to navigation, sensor fusion, and embedded software. At Enview, Eleanor is excited to use intelligent algorithms to directly impact people and the planet.
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Damond Hedley
Data Systems Architect
Damond has over 20 years of experience in architecting petabyte-scale databases, remote sensing, and GIS/web mapping. He was previously at DigitalGlobe where he architected the back-end delivery of satellite imagery for clients including Apple Maps, Google Maps, Nokia Here, and TomTom. Damond's mission at Enview is to make geospatial big-data more accessible and actionable.
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Nina Varney
3D Vision Engineer
Nina specializes in the development of machine learning algorithms to detect threats using aerial lidar and imagery. Her automatic detection techniques have been deployed with the Air Force for national security and also with PRCI to identify construction and excavation near pipeline ROWs. Nina holds a MS in electrical engineering from the University of Dayton focused on 3D point cloud processing.
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Ruth Sher
Computer Vision Engineer
Ruth has over 15 years of experience in image processing and software engineering. She has developed safety-critical, high-throughput image analysis products that have been used in the defense, medical, and agricultural industries. Ruth's prior work includes significant image registration, stereo reconstruction, and multispectral aerial and satellite image analysis.
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Ben Wyss
Geospatial Web Developer
Ben has over 7 years of experience developing interactive web maps and data visualization tools that turn geospatial big data into actionable information. He has architected dashboards for geohazard risk assessment, and has pioneered efficient long-term, geospatial cloud storage solutions. Ben has presented at FOSS4G conferences, highlighting his work with raster and vector tiling technologies.
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Our Careers
At Enview, you will create insights that result in real-world actions that protect people and the environment. You’ll have the opportunity to play a foundational role as an early employee at a well-funded startup while working with people like yourself—talented, thoughtful, and passionate about solving meaningful challenges.
Computer Vision Engineer
Extract meaning from multispectral aerospace imagery.
Learn More »
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Our Culture
From the very beginning, we have set out to build a company that we love working for—a company of smart, compassionate people who inspire us. We are all intellectually curious and choose to work on hard problems in a culture of transparency and accountability.
Contact Us
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