Siva Surendira
Founder & CEO of Lyzr.ai
About
I'm Siva Surendira, the Founder and CEO of Lyzr.ai. My career has been defined by building and scaling high-growth technology ventures, from founding Powerupcloud—which I grew to a 200-person team and a successful acquisition—to leading the AWS Business Group at LTI where we scaled revenue 6x. Currently, I am focused on the next frontier of automation: Agentic AI. I am passionate about helping enterprises move beyond 'renting intelligence' from big labs to owning their own IP through production-grade agents. I advocate for data sovereignty and human-in-the-loop systems to ensure AI is both secure and trustworthy. Whether I'm discussing 'Fluidic Data' architecture or sailing, I'm always looking to connect with leaders who want to move past AI prototypes and into real-world, unhinged innovation.
Networking
What I can offer
- ›Expertise in Agentic AI automation
- ›Strategies for de-risking AI and avoiding vendor lock-in
- ›Guidance on scaling cloud business units
- ›Production-grade enterprise agent frameworks
Looking for
- ›expanding my professional network
- ›exploring mutual opportunities in AI and enterprise technology
- ›CIOs, CFOs, and tech leaders at Fortune 500 companies
Best fit for
Current Interests
Background
Career
Began as a Big Data Engineer at Tesco, founded custom apparel and cloud consulting startups, scaled AWS business 6x at LTI post-acquisition, and currently building enterprise agentic AI frameworks.
Education
General Management Program from Harvard Business School (2022); Bachelor of Engineering in Electronics and Communication from Coimbatore Institute of Technology (2008).
Achievements
- ›Scaled AWS business at LTI by 6x in three years.
- ›Built Powerupcloud to 200+ associates with zero external funding.
- ›Won AWS Partner of the Year (2018) and Microsoft Business Analytics Partner of the Year (2017).
- ›Recognized as Top 100 in New Jersey for Innovation with Lyzr AI.
Opinions
- Companies should avoid 'renting intelligence' and focus on owning their AI IP.
- Enterprise AI must have human-in-the-loop mechanisms to bridge the trust gap.
- Large enterprises should build customer support AI from the ground up rather than using black-box vertical apps.
- Fluidic Data and just-in-time data marts are superior to waiting for a perfect centralized semantic layer.