Hyperview is the No.1 cloud-based Data Center Infrastructure Management (DCIM) platform designed to optimize and streamline the operations of modern data centers. Our state-of-the-art software platform empowers businesses to effectively manage their data center assets, reduce energy consumption, minimize downtime, and enhance overall performance.

The platform is used further to manage and monitor capacity, rack and floor space, asset lifecycles, asset health, power, energy, and temperature. Core features include Asset Management, Power Monitoring, Energy Management, Environmental Monitoring, and Capacity Planning, Carbon Footprint Reporting, and 3D Visualization.

Levelop is an AI-powered interview preparation platform designed for software engineers aiming for roles at companies like Google, Amazon, and Meta. It combines coding and system design practice into a structured, guided experience with real-time feedback and progress tracking.

Built for the Indian market, Levelop offers pricing in INR and includes a free first sprint with no payment required.

The Problem

Most interview prep today is unstructured: Random problem solving with no clear progression Limited feedback beyond “wrong answer” No visibility into actual weak areas System design learning that lacks depth and practice

This often leads to inconsistent progress and repeated mistakes.

How Levelop Solves It

AI-Powered Mentorship Aurora (System Design Mentor) Guides users through concepts, architecture decisions, and interactive learning before allowing hands-on design. Orion (Coding Mentor) Activates when a user submits incorrect code. Diagnoses gaps in understanding and guides users through targeted exercises until the concept is clear.

Failure-Driven Learning Instead of passive hints, Levelop uses incorrect attempts as signals to trigger structured learning flows, ensuring users fix root causes rather than memorizing solutions.

Integrated Learning Flow Coding and system design are combined into a single workflow Users move through guided sprints instead of random problem selection

Progress Tracking Sprint-based structure with clear visibility into progress Identifies strengths, weaknesses, and areas for improvement

Ideal for: Software engineers (0–5 years experience) Candidates preparing for technical interviews at top product companies Developers looking for structured, feedback-driven learning