Acsia Technologies Onboards Senior Automotive Industry Leader Latha Chembrakalam as Strategic Advisor
Sep 30, 2025
Latha Chembrakalam, Strategic Advisor, Acsia Technologies

With a proven track record in global leadership and technology, Ms. Chembrakalam will support Acsia’s strategy and ecosystem partnerships as it expands into new domains.

Thiruvananthapuram, India | September 30, 2025: Acsia Technologies, a leading provider of automotive software powering Digital Cockpits & Displays, e-Mobility and Telematics, today announced the appointment of Ms. Latha Chembrakalam as Strategic Advisor.

Ms. Chembrakalam brings more than three decades of leadership experience in global strategy, business development, and technology. She is currently the CEO and Founder of AutoAscend Private Limited, a boutique firm focusing on GCC consulting, strategy and technology consulting in the automotive space and executive coaching.

Till June 2025, she served as Vice President and Head of Technical Center India at Continental Automotive, where she led the company’s engineering organisation in Bengaluru. Prior to that, she was Vice President, Powertrain Systems and Electrification at Robert Bosch Engineering and Business Solutions, responsible for managing one of Bosch’s largest businesses with over 4,000 engineers.

Over a 17-year tenure at Bosch, she held multiple senior leadership roles, overseeing global customer engineering, function development, and large-scale delivery programs in powertrain and electrification across Europe, Asia and North America. Earlier in her career, she held leadership positions at Siemens Information Systems Ltd and began as an R&D Engineer at Bharat Heavy Electricals (BHEL).

In addition to her corporate leadership, Ms. Chembrakalam is a certified leadership coach, behaviour and mentoring analyst, and an active member of several industry bodies, including the NASSCOM ER&D Council, WILL Forum, and IEEE. She also contributes to advisory boards of leading universities and has been part of government strategy teams for India and Karnataka.

Her contributions have been recognised with numerous awards, including Top 10 Technology Women Leaders in India, Top AI Leaders in India, the CEO Award for Future-Ready GCCs, and multiple accolades for leadership, innovation, and DEI advocacy.

Welcoming her to Acsia, Jijimon Chandran, Founder, Managing Director and CEO of Acsia Technologies, said: “We are pleased to welcome Latha as Strategic Advisor. Her global experience and leadership will be instrumental as Acsia evolves from a leading automotive software company into a broader deep-tech engineering force. With her guidance, we aim to strengthen our partnerships with global OEMs and Tier-1 suppliers, and continue delivering solutions that create long-term value for our customers while shaping the future of mobility and technology.”

Latha Chembrakalam added: “Acsia has earned its reputation as a trusted engineering partner for global OEMs and Tier-1 suppliers, and is now creating new opportunities in adjacent sectors. I am excited to join as Strategic Advisor and look forward to co-creating impactful solutions with the Acsia team, leveraging the strengths of Kerala’s technology ecosystem.”

As Acsia Technologies accelerates its growth, this appointment reinforces its commitment to innovation, leadership, and building strong global partnerships across mobility and emerging technology domains.

About Acsia
Acsia Technologies is a leading provider of automotive software powering Digital Cockpits & Displays, e-Mobility and Telematics. We use our expertise across AUTOSAR, Android Automotive, Automotive Linux, QNX, HMI, Middleware and Platform Development, CI/CD/CT, AI/ML, Verification & Validation, Cybersecurity, Functional Safety, and Performance Optimisation, to develop solutions that simplify complex problems and create safer, sustainable, and more compelling driver and passenger experiences. With a presence across the United States, Germany, Japan, and India, we collaborate with top automobile manufacturers and Tier-1 suppliers.

For more information, visit www.acsiatech.com

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AH2025/PS06 | AI/ML

Context

Continuous employee learning is essential for companies to stay competitive in a fast-changing business environment. Organizations adopt Learning Management Systems (LMS) to upskill employees, meet compliance requirements, and support career growth. However, existing LMS platforms often act as content repositories rather than personalized learning assistants.

 

Pain Point

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  • Current LMS solutions provide limited personalization and recommendations, leading to low engagement.

 

Challenge

Develop an AI-powered LMS that goes beyond course hosting, by:

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  • Providing managers with team-level insights on training progress and skill readiness.
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Goal

Create a smart, data-driven LMS that improves employee engagement, learning outcomes, and workforce readiness while giving leadership clear visibility into training impact.

 

Outputs

  • Personalized learning recommendations for each employee.
  • Skill gap dashboards for managers and HR.
  • Learning progress analytics with completion, performance, and adoption rates.
  • Training ROI insights linked to productivity and career growth.

 

Impact

  • Employees gain relevant, career-aligned skills faster.
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Pain Point

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Challenge

Develop an AI-powered LMS that goes beyond course hosting, by:

  • Mapping employee skills, roles, and career paths to relevant training modules.
  • Using learning analytics to predict skill gaps and recommend personalized learning journeys.
  • Providing managers with team-level insights on training progress and skill readiness.
  • Enabling employees to learn flexibly, with adaptive learning paths based on performance.

Goal

Create a smart, data-driven LMS that improves employee engagement, learning outcomes, and workforce readiness while giving leadership clear visibility into training impact.

Outputs

  • Personalized learning recommendations for each employee.
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  • Learning progress analytics with completion, performance, and adoption rates.
  • Training ROI insights linked to productivity and career growth.

Impact

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Pain Point

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Goal

Deliver real-time, adaptive personalization of:

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Outputs

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Impact

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Pain Point

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Build an AI-powered project management assistant that can:

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Pain Point

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Goal

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