Here is a summary of the key points about Zanskar and its geothermal exploration technology:
Company Overview
- Zanskar is a Utah-based startup focused on using AI and machine learning to improve geothermal energy exploration and development
- Founded in 2018 by Carl Hoiland (CEO) and Joel Edwards (CTO), who met 15 years ago while studying geology
- Just raised a $30 million Series B round led by Obvious Ventures, valuing the company at $115 million
- Total funding to date is $45 million
Technology
- Uses machine learning models to analyze huge amounts of data to find ideal drilling locations for geothermal plants
- Data sources include satellites, geological surveys, seismic data, and their own exploratory drilling
- Aims to significantly reduce exploration and drilling costs, which are the biggest expenses in geothermal development
- Claims to have “discovered more hidden geothermal resources in the past year and a half than the entire industry combined had done over the prior decade”
Business Model
- Plans to both build its own geothermal power plants and partner with existing players to co-develop sites
- Aiming to bring its first facility online in about 4 years
Market Opportunity
- Geothermal currently provides less than 1% of US electricity due to high development costs
- Geothermal projects cost about $8.7 million per megawatt vs $1.8 million for wind
- Drilling accounts for about half the cost of most geothermal projects
- Improving exploration success rates could make geothermal more cost competitive
Competitive Landscape
- Part of a growing geothermal startup space that has attracted over $1.5 billion in VC funding since 2019
- Other players include Fervo Energy, which raised $244 million in February 2024
The company believes its AI-powered exploration technology gives it an “unfair advantage” in unlocking more geothermal energy resources cost-effectively. However, it is still in relatively early stages and faces competition from other well-funded startups in the space.
Classification: AI Tier 3
- Core AI: Create fundamental AI technologies/base models
- AI-Enabled: Core offerings rely on recent AI advances
- AI Adopters: Use AI to enhance existing products/services
- Non-AI: No AI in products/services
Zanskar uses AI to enhance geothermal exploration and reduce costs in the energy sector, making them an AI Adopter.