Monk AI

Our organization operates within a hybrid environment, offering flexibility to accommodate individual work styles. Weekly team meetings encourage collaboration, while senior team members mentor junior colleagues in tech skills. Additionally, we have regular one-on-one meetings with management and bi-annual Hackathons to foster innovation. New employees receive on-boarding support from managers, and we follow an agile methodology for efficient project management.

One of our standout projects focuses on enhancing the capabilities of our algorithms through the integration of video into our Web app. While images offer a static view, videos provide dynamic insights, capturing intricate details often missed in photos. This upgrade not only boosts the detection of challenging damages but also addresses issues like false positives resulting from light reflections. The added benefit is a vastly improved user experience, as customers can now get a more comprehensive understanding of vehicle damages in real-time.

Understanding the constraints of connectivity, we embarked on a project to embed our AI capabilities directly onto mobile platforms. This allows for offline vehicle damage assessments, ensuring our customers can leverage Monk's technology even without internet access. By bringing AI processing to the device, we are effectively expanding our reach and ensuring continuous, uninterrupted service, regardless of external network challenges.

Sample interview process: 

• Interview with the Talent Acquisition team (30min)
• Technical Assessment (depending on role)
• Technical Interviews 1 or 2 (60 - 90 min)
• Leadership level interview (30 min)