Tata Elxsi gains on launching 'DevStudio.ai' to accelerate automotive SDLC
Tata Elxsi is currently trading at Rs. 4475.00, up by 73.80 points or 1.68% from its previous closing of Rs. 4401.20 on the BSE.
The scrip opened at Rs. 4424.95 and has touched a high and low of Rs. 4488.95 and Rs. 4408.80 respectively. So far 4369 shares were traded on the counter.
The BSE group 'A' stock of face value Rs. 10 has touched a 52 week high of Rs. 6733.50 on 10-Jun-2025 and a 52 week low of Rs. 4319.70 on 04-Mar-2026.
Last one week high and low of the scrip stood at Rs. 4529.60 and Rs. 4319.70 respectively. The current market cap of the company is Rs. 27715.39 crore.
The promoters holding in the company stood at 43.90%, while Institutions and Non-Institutions held 20.86% and 35.24% respectively.
Tata Elxsi has launched 'DevStudio.ai', an automotive multi-agentic solution purpose-built to accelerate the automotive software development lifecycle (SDLC) for OEMs, system suppliers, and semiconductor companies. DevStudio.ai is an ASPICE-aligned solution powered by multi-agentic architectures, enabling collaboration between automotive engineers and AI across engineering workflows. A key architectural highlight is its ability to operate on both cloud-based infrastructure and air-gapped on-premise environments, delivering deployment flexibility and choice aligned with enterprise infrastructure and AI policies.
While several generative AI tools are emerging to support software development, most are designed for broad-based application development. DevStudio.ai is purpose-built for the automotive SDLC, combining Tata Elxsi’s deep domain expertise with generative AI to address the complexity, safety, and compliance requirements of automotive software engineering. The platform supports all key stages of the ASPICE V-cycle, including system and software requirements, architecture, implementation, testing, and qualification, while maintaining end-to-end traceability across the engineering lifecycle. It also integrates seamlessly with widely used OEM and Tier-1 engineering toolchains, enabling teams to embed DevStudio.ai co-engineers directly into existing development environments.
