Best Place To BuildProf. Krishnan B.| He X-Rays Bridges & Planes | He Left USA to Build Non-Destructive Testing | Ep. 8
CHAPTERS
Why deep-tech ventures endure: the SpaceX vs X analogy
The conversation opens with Prof. Krishnan framing a core belief: deep-tech companies tend to build durable moats and therefore last longer than fast-cycling software-only ventures. He emphasizes IIT Madras’ goal is not just to curate ideas, but to curate entrepreneurs and even faculty founders.
From returning to India to defining a mission at IIT Madras
Prof. Krishnan recounts returning from the US in 2000 after ~16 years, driven by IIT Madras’ invitation to build capability in a high-potential domain. He describes arriving with minimal infrastructure and the early support that helped him start building immediately.
Non-Destructive Testing (NDT) explained through the medical diagnostic analogy
He introduces NDT by comparing it to medical imaging—X-rays and ultrasound—but applied to engineered assets like bridges, aircraft, trains, pipelines, and factories. The goal is to detect internal problems early to prevent downtime and catastrophic failures.
Destructive vs non-destructive testing—and why industry needs the latter
The episode clarifies destructive testing as a lab method used to validate hypotheses, not something feasible for real operational assets. NDT provides inspection without compromising performance or creating additional risk.
Real-world failure modes: welding uncertainty, corrosion economics, and railwheel cracking
Prof. Krishnan grounds NDT in practical problems: welding defects driven by high process entropy, corrosion as a multi-trillion-dollar global cost, and an Indian Railways case where brake-pad changes increased wheel heating and cracking risk. These examples show how performance improvements can introduce new failure mechanisms.
NDT technology toolbox: X-ray, ultrasound, IR, radar, terahertz—and defect sizing
He outlines common sensing modalities and how they mirror medical imaging, extending to industrial use. He also explains how defect detectability requirements vary drastically by sector and material (e.g., ISRO vs rail, ceramics vs metals vs concrete).
Founding IIT Madras’ Center for NDE (CNDE): from a suitcase to a 1,500 sq ft lab
Prof. Krishnan explains how IIT Madras’ strategic need and nearby industries (nuclear, aerospace, manufacturing) enabled rapid creation of CNDE. Within about a year, the first facility was inaugurated and projects began flowing, validating the bet on NDT.
ICSR as IIT Madras’ industry interface—and the shift to funded, impactful research
He describes ICSR as the institution’s window to industry and research sponsors, enabling the money and processes required for world-class engineering research. The chapter also captures the broader institutional shift from primarily teaching to a research-and-impact orientation.
Building impact through intellectual property: fast protection and higher volume
As Dean (2012–2018), Prof. Krishnan highlights reforms to make IP filing fast and faculty-friendly, ensuring publication isn’t slowed while protection becomes reliable. The result is a dramatic increase in filings and better pathways to monetize or deploy IP for societal good.
From clandestine startups to a formal incubation policy and incubation cell structure
He recounts how entrepreneurship was once viewed as taboo for faculty, similar to early US academia in the 1980s. IIT Madras then worked through board approvals to establish an incubation policy and created an incubation entity using the Research Park’s Section 8 structure to overcome local legal constraints.
Startup case study: Dhvani—automating NDT from factory parts to Chandrayaan systems
Dhvani is presented as an early, high-risk venture aimed at reducing India’s dependence on imported NDT equipment by building automated inspection systems. Over time it split into systems and analytics (Dhvani AI), serving major industrial and strategic clients, and delivering large-scale inspection systems used by ISRO.
Startup case study: Planys—underwater robotics for safer, better inspections
Planys emerged from student underwater-robotics efforts (CFI/competitions) and pivoted from selling robots to delivering inspection as a robust industrial solution. The company replaces risky, costly diver-based inspections with reliable robotic data capture for ports, dams, tanks, and offshore assets.
Startup case study: Detect Technologies—sensors to drones to AI platform for safety & integrity
Detect began with a patented high-temperature corrosion-monitoring sensor validated by an early Reliance partnership, then expanded into drone-based inspection and finally into an AI-driven platform. Today it is positioned as a SaaS company for asset integrity, human safety, and compliance across heavy industries.
Startup case study: Xyma—high-temperature sensing built on decades of ultrasonic research
Xyma commercializes long-running research dating back to the mid-1990s on sensing in extreme environments (e.g., molten materials). Using ultrasonic waves guided through wires (like a ‘matchbox telephone’ analogy), the technology enables remote high-temperature measurements and has attracted global industrial adoption.
Why IIT Madras became “the best place to build”: CFI → Nirmaan → I-Corps → Research Park
Prof. Krishnan synthesizes IIT Madras’ ecosystem as multiple interlocking building blocks that reduce friction from lab to market. He highlights maker culture (CFI), student support (Nirmaan), structured commercialization mindset training (I-Corps via the Gopalakrishnan-Deshpande Center), and strong institutional pathways (ICSR, Incubation Cell, Research Park, Pravartak).
I-Corps India outcomes: scaling entrepreneurial capacity nationwide
He explains how IITM learned the I-Corps model from US partners and operationalized it in cohorts, requiring faculty participation and intense customer discovery. The program scales beyond IITM, partners with dozens of institutions, and has produced a substantial pipeline of founders and startups.
Still a teacher and builder: courses, tennis, and closing reflections on deep research
The episode closes with personal notes on continuing to teach advanced NDT and maintaining work-life balance through tennis. Prof. Krishnan reiterates that deep research ventures create stronger moats and long-term impact, while acknowledging software’s transformative role in daily life.
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