Traverse Technologies is an AI-powered engineering firm that utilizes machine learning algorithms to optimize design processes and enhance project efficiency. The company addresses inefficiencies in traditional engineering workflows, resulting in reduced project timelines and improved resource allocation.
Funding
$2.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing greenfield wind projects requires extensive analysis to determine the optimal site location and configuration, often involving tedious manual processes and resulting in suboptimal returns. Existing methods lack the ability to efficiently explore all possible project permutations, leading to missed opportunities for increased Internal Rate of Return (IRR) and reduced Levelized Cost of Energy (LCOE).
Solution
Traverse Technologies offers an AI-powered platform, WindDesk, that automates the techno-commercial feasibility assessment of wind farm projects. By integrating civil, mechanical, electrical, and geospatial engineering principles with project finance modeling, WindDesk enables developers to evaluate millions of potential layouts and configurations. The platform provides a direct line of sight to IRR and LCOE optimization by performing high-fidelity electrical and civil Balance of Plant (BOP) cost estimations early in the development process. WindDesk offers end-to-end services from prospecting to financial close, including modules for site prospecting, measurement campaign planning and monitoring, and energy production prediction.
Target Audience
The primary target audience includes wind farm developers, investors, lenders, and acquirers seeking to optimize project feasibility, reduce development risk, and increase financial returns.
Features
- WindDesk Discover: A free tool for initial wind farm site prospecting, providing a heatmap of potential sites based on user-defined criteria.
- Automated wind resource assessment using downscaled mesoscale maps and wind flow modeling software (WasP).
- "Inversed Nearest Roads" algorithm to determine the shortest road access with slope and turning radius constraints.
- Multi-variate heatmap generation combining wind resource, road access, substation proximity, protected areas, and terrain ruggedness data.
- Micro-siting optimization across large areas, generating seed layouts and calculating gross and net energy production.
- "Tick-tock" optimization process iterating between energy optimization and road/electrical loss optimization, integrated with a simplified financial model for IRR/LCOE scoring.
- WindDesk Monitor: A tool to monitor the status and quality of measurement data from wind measurement campaigns, with alert notifications and web-based dashboard.
- Dynamic energy assessments allowing for unlimited updates based on project changes and periodic snapshots.