The Interview World

The Centre for Computational Technologies (CCTech), a pioneering simulation company, is redefining engineering and architectural workflows for various industries including energy sector. Driven by its mission to democratize technology and transform lives, CCTech specializes in Computational Fluid Dynamics (CFD), Computer-Aided Engineering (CAE), and CAD customization. Its cutting-edge solutions include simulationHub, a cloud-based CFD platform; Autonomous HVAC CFD, optimizing HVAC system designs; Autonomous Valve CFD, empowering control valve engineers; and Pedestrian Comfort Analysis, aiding architects and urban planners in designing livable spaces.

Beyond its product innovations, CCTech delivers expert consulting in CAD software development, AI integration, quality assurance, and enterprise web applications. The company’s deep expertise in computational geometry, machine learning, and augmented reality fuels advanced automation and data-driven decision-making. Committed to education, it runs LearnCAx, a premier platform mentoring engineers worldwide in CAx technologies.

Continuing its legacy of innovation, CCTech recently launched Buildings AI, a revolutionary building performance modeling platform powered by Agentic AI. This breakthrough solution transforms energy modeling, accelerating net-zero goals with unparalleled efficiency and intelligence.

At India Energy Week 2025, The Interview World sat down with Vivek Mahajan, Business Head – Digital Transformation at CCTech. He shared how CCTech empowers energy sector with predictive analytics and actionable insights to optimize efficiency and drive data-driven decision-making. He also detailed the company’s pioneering solutions in hydrogen and battery energy storage systems, designed for greater efficiency, scalability, and sustainability. Through compelling use cases, Mahajan illustrated how CCTech’s innovations are helping customers enhance operational performance and make smarter, data-driven choices.

Looking ahead, he outlined his long-term vision for CCTech’s solution offerings, emphasizing relentless innovation and technological advancements. Here are the key takeaways from this insightful conversation.

Q: How does CCTech empower energy sector with actionable insights and predictive analytics to enhance efficiency and support data-driven decision-making in their operations?

A: We specialize in digital platform solutions for the engineering sector, working across renewable energy, oil and gas, and energy simulation in the AC domain. Our proprietary platform, Buildings AI, enables users to analyze and optimize energy consumption in buildings with advanced simulations.

In the renewable energy sector, we empower companies with solar park configurators that streamline solar power plant design, construction drawings, and ERP integration. Our tools help accelerate project execution and improve efficiency.

For oil and gas, we develop data platforms that extract critical insights from PDFs, such as daily drilling reports, enabling real-time analysis and decision-making. We also work on reservoir simulations and have built an Enhanced Oil Recovery (EOR) platform. This solution leverages history-matched data to predict oil production efficiency, helping companies maximize output and optimize resources.

By integrating cutting-edge technology with deep industry expertise, we continue to drive innovation and efficiency across the energy sector.

Q: What innovative solutions is CCTech developing for hydrogen and battery energy storage systems to enhance efficiency, scalability, and sustainability?

A: We are primarily focused on optimizing the efficient placement of hydrogen cells and streamlining their transportation between locations. Since hydrogen production is inherently a lossy process, minimizing energy consumption is crucial. To address this, we are implementing optimization strategies to reduce losses.

In the battery space, we are working on advanced battery storage solutions and their seamless integration with power grids. By analyzing power consumption patterns and load demands, we can strategically determine when a storage system should supply power to the grid or draw energy from it. This ensures efficient energy distribution and grid stability.

Q: Can you share specific use cases where your solutions have helped customers enhance efficiency and make smarter, data-driven decisions in their operations?

A: For a power plant company specializing in fast power solutions, we developed a self-configuring, web-based application to streamline disaster response. During natural disasters like earthquakes or floods, electricity is often the first casualty. To restore power quickly, the client deploys fast power plants, which require a detailed land survey before installation. These plants must follow strict regulations regarding component and equipment placement.

Our configurator enables the client to analyze site conditions and generate precise drawings for government approval. In disaster scenarios, rapid electricity restoration is critical. Traditionally, creating these drawings takes two to three days. With our tool, the process is reduced to just a few hours, dramatically accelerating recovery efforts.

Q: Where do you envision CCTech in the next 5–10 years regarding solution offerings, innovation, and advancements built upon existing platforms?

A: We specialize in data and AI, with a strong focus on optimizing energy consumption and automation. Our proprietary platform, Building AI, is designed to enhance energy efficiency in buildings. Similarly, we envision integrating AI with robotics to automate factory operations. This approach not only boosts efficiency but also minimizes losses, driving smarter and more sustainable industrial processes.

Unlocking Data-Driven Decision Making - CCTech is Empowering Energy Sector
Unlocking Data-Driven Decision Making – CCTech is Empowering Energy Sector

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