"There is a need for starting automation - robotics is a space that we can't postpone for too long. We want to make sure that you start adopting it." - Rishabh Agarwal

In this episode, host Parthesh Shastri speaks with Rishabh Agarwal, CEO and co-founder of Peer Robotics, about rethinking automation for small and mid-sized manufacturers. Drawing from his experience at Kuka, Siemens, and a family manufacturing background, Rishabh shares how Peer’s collaborative robots learn from human demonstrations—no coding required. He explains how their robots are designed to work with people, often elevating workers to more valuable roles, and encourages manufacturers to adopt automation gradually using tech that fits existing systems and is easy for non-technical users.

Rishabh Agarwal, an alumnus of IIT Delhi and the University of Maryland, combines academic rigor with practical insight. At Peer Robotics, he leads a lean, R&D-focused team building intuitive robots that simplify material movement on the factory floor. Backed by significant funding, the company prioritizes accessibility over sales infrastructure, empowering more manufacturers to embrace collaborative automation.

Discussion Points

• (04:11) Rishabh shares how their robots learn routes via human demonstration, eliminating reprogramming. He also explains Peer’s R&D-first approach, keeping dev and deployment teams closely aligned for rapid iteration.
• (09:09) From IIT Delhi to the University of Maryland, and stints at Siemens and Kuka, Rishabh reflects on his journey into robotics and how SMEs face unique automation hurdles due to their need for flexibility.
• (16:38) Peer’s automation strategy centers on plug-and-play integration, minimal user input, and intuitive interfaces. Their team handles complexity internally to deliver streamlined, infrastructure-light solutions.
• (22:36) Rishabh discusses how automation at Peer augments jobs rather than displacing workers, often promoting operators into new roles. He urges manufacturers to start small, enabling low-risk, scalable adoption.

Ayna is a premier advisory and implementation firm in the industrial technology space, leveraging a team of experienced leaders to help companies and investors drive performance improvement and value creation. The host of this episode is Anya’s Parthesh Shastri.

For More Information

Rishabh Agarwal LinkedIn

Peer Robotics

Ayna.AI Website

Parthesh Shastri LinkedIn

"Experience tells you where you've been, character tells you where you're going." - George Randle

What can manufacturing leaders learn from military leadership? In this episode of the Titanium Economy podcast, George Randle—Army veteran, talent strategist, and co-author of The Talent War—joins host Nidhi Arora of AYNA.AI to explore why character consistently outperforms credentials. Drawing on lessons from both the battlefield and the boardroom, Randle shares practical advice: know your people, walk the floor, and explain the “why” behind the work. He shows how better leadership—not better perks—can drastically reduce attrition and build resilient teams.

George Randle is a seasoned talent executive, executive coach, and former U.S. Army officer with over 20 years of experience in global HR and talent acquisition. He has led teams that hired more than 80,000 professionals across 60 countries and advises organizations on building high-performing teams through character-based hiring. As co-author of The Talent War, he champions leadership rooted in authenticity, accountability, and values.

Discussion Points

• (00:00) George Randle blends 20+ years in Fortune 100 HR with a decorated Army career. His teams have hired 80,000+ professionals, including 2,500 senior leaders.
• (04:05) Leadership starts with humility. Randle shares how listening—over commanding—drives better outcomes in both military and corporate environments.
• (08:52) The Talent War argues that character trumps credentials. Randle explains why traits like grit and integrity predict leadership success better than résumés.
• (13:57) AI makes résumés look the same—so character must differentiate. Randle urges companies to define success beyond technical skills.
• (16:23) In interviews, Randle asks execs: Who have you mentored to greater success? Their answers reveal true leadership impact.
• (18:30) Manufacturing retention rises when leaders connect. One firm cut attrition from 22% to 2% just by walking the floor and explaining why the work matters.

Ayna is a premier advisory and implementation firm in the industrial technology space, leveraging a team of experienced leaders to help companies and investors drive performance improvement and value creation. The host of this episode Nidhi Arora is Vice President at Ayna.

For More Information

George Randle

"The Talent War" by George Randle

Titanium Economy

Ayna.AI Website

Nidhi Arora LinkedIn

"By applying advanced analytics and AI at scale, we were able to see significant increases in fuel economy, productivity, as well as avoidance of major downtime events." - Erik Udstuen

On this episode, Parthesh Shastri talks with Erik Udstuen, CEO of TwinThread, about the future of industrial AI and digital twins. Udstuen shares his journey from GE’s energy division to founding TwinThread, highlighting the blend of generative and traditional AI in industrial settings. He advocates for virtual operations centers that scale expertise globally—illustrated by a success story at Colgate’s pet food division—and outlines strategies for IP protection, including unidirectional communication, isolated language models, and secure, client-based cloud deployments. Udstuen sees industrial AI advancing from frontline support to product innovation, calling for safe experimentation as manufacturing faces a “triple squeeze” of constraints.

Erik Udstuen, a former GE executive and chemical engineer, is the CEO of TwinThread, an industrial tech company using AI-powered digital twins to drive productivity. His early work in neural networks set records in the paper industry, and under his leadership, TwinThread has grown 400% in three years and made the 2024 Deloitte Technology Fast 500. With a strong technical and entrepreneurial foundation, Udstuen is shaping the future of smart manufacturing, tackling challenges like workforce shifts and operational efficiency through advanced AI.

Discussion Points

• (00:00) Erik Udstuen’s experience at GE managing gas turbine fleets shaped his vision for industrial AI, improving fuel efficiency, productivity, and uptime across sectors.
• (04:20) TwinThread’s AI system transformed quality control at Colgate’s pet food division, analyzing sensor data to shift from co-pilot support to full closed-loop automation.
• (06:45) Udstuen defines industrial AI as a full-stack ecosystem—blending generative and traditional methods—requiring robust architecture for real-world integration.
• (08:47) TwinThread ensures data security with one-way data flows, isolated language models, and client-hosted deployments, preserving control and functionality.
• (11:21) Erik’s early work in neural networks for pulp manufacturing set production records; today, lower AI deployment costs unlock access across industrial sectors.
• (15:19) Udstuen sees AI enabling fewer engineers to manage more sites via centers of excellence and predicts future applications in product design and material science—all within secure, IP-safe frameworks.

Ayna is a premier advisory and implementation firm in the industrial technology space, leveraging a team of experienced leaders to help companies and investors drive performance improvement and value creation. The host of this episode is Anya’s Parthesh Shastri.

For More Information

Erik Udstuen LinkedIn

TwinThread

Ayna.AI Website

Parthesh Shastri LinkedIn