Eric Wu, the founder behind Opendoor, has returned to startup building with a new focus: using AI to support construction crews and other field workers. After stepping away from Opendoor in 2022, Wu spent time resetting before deciding to build again around what he sees as the next major technology wave.
His new company, NavigateAI, is designed as a hands-free expert assistant for job sites. The platform lets workers use a smartphone or Meta AI glasses to ask practical questions in real time, such as whether an installation is correct, if torque levels match requirements, or whether a task meets code. The system can surface building specs, manuals, and company policies instantly.
The timing aligns with a growing labor gap in construction, especially as large-scale projects like data centers expand rapidly. NavigateAI is aiming to help crews work faster and with more confidence by turning AI into a practical layer on top of daily field operations.
The company launched in late May with $25 million in seed funding and a $225 million post-money valuation. Backers include Elad Gil, Khosla Ventures, Fifth Wall, Lennar, Tishman Speyer, Helix Electric, and several well-known tech founders and operators.
NavigateAI is also working with training partners such as AIM, a Meta-backed fiber installation trade school, to introduce workers to AI-assisted workflows early. Wu says younger trainees tend to adopt the tool quickly, while experienced workers are more cautious about wearing connected devices on the job.
Beyond software, the company sees long-term value in the data it collects. Each completed task can generate labeled video that may become useful for future robotics systems and industrial AI models. That positions NavigateAI not only as a productivity tool, but also as a potential data engine for the next generation of physical automation.
With construction becoming more complex and labor efficiency more important, NavigateAI reflects a broader shift toward AI tools built for real-world work. If the model scales, it could help redefine how skilled labor is trained, supported, and augmented in the years ahead.
