morphing.inCrawled Oct 24, 2026
Explore REDEFINE—a runtime reconfigurable processor architecture for AI, telecom, HPC, edge intelligence, and next generation data centres.
Morphing Machines engineers software-defined silicon: runtime-reconfigurable many-core processors that dynamically morph hardware resources to run concurrent domain-specific hardware tasks.
Morphing Machines powers next-gen compute with REDEFINE— a runtime reconfigurable many-core processor architecture for AI/ML, HPC, and data centers.
Morphing Machines introduces **MuDRA-1**, its first taped-out chip designed to combine ASIC-level performance with FPGA-like flexibility. The Bengaluru-based startup, incubated at the Indian Institute of Science, unveils the chip at SEMICON India 2026. MuDRA-1 marks a key milestone in the company’s architecture, developed entirely in India.
Sep 2026circuitdigest.comNews article
Bengaluru-based **Morphing Machines** secures ₹42 crore ($4.4M) in Series A funding to accelerate chip production. The round, led by **Hero Enterprise Partner Ventures**, includes **Colossa Ventures** and **Navam Capital**, achieving an ₹80 crore post-money valuation. The fabless semiconductor startup emerged from **IISc** as a deep-tech spinout, focusing on advancing semiconductor design and manufacturing.
Apr 2026StartupFoxNews article
Morphing Machines secures ₹42 Cr in funding from Hero Enterprise Partner Ventures, Colossa WomenFirst Fund, and Navam Venture Fund I to complete its Series A round, bringing the total raised to ₹80 Cr. The company focuses on developing advanced robotic and automation solutions. Investors include prominent venture funds specializing in early-stage and women-led startups.
Apr 2026Inc42 MediaNews article
Morphing Machines, founded in 2006 by the Indian Institute of Science’s Technology Entrepreneurship initiative, develops advanced semiconductor technology. The company launched REDEFINE™, a runtime reconfigurable many-core processor designed to transform the semiconductor industry. This innovation targets flexibility and performance in computing hardware.
Jan 2026SFALNews article