Calligo Technologies Secures $1.1M to Power India’s Semiconductor Revolution with Next-Gen Chips

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Calligo Technologies, a Bengaluru-based semiconductor startup, has raised $1.1 million in a pre-series A funding round led by Seafund and Artha Venture Fund. The company plans to use the funds to advance its R&D efforts, develop its second-generation silicon chip, and expand its engineering talent pool.

What Makes Calligo Technologies Unique?

Founded by Anantha Kinnal, Rajaraman Subramanian, and Vinay N Hebbali, Calligo Technologies focuses on solving performance bottlenecks in High-Performance Computing (HPC) and AI systems. Its innovative use of POSIT, an alternative number system in silicon, enables higher accuracy with fewer computing bits. This approach improves energy efficiency and computing precision, making it ideal for large-scale modeling and AI training.

Achievements and Future Plans

CalligoTech has achieved several milestones in the past year:

  • Successfully launched its first silicon chip (Ver 1.0) and started shipping accelerator boards.
  • Collaborated with global academic and research institutions to expand its technical expertise.

The company is now preparing to release Ver 2.0 of its System-on-Chip for high-volume manufacturing within the next 12-18 months. It aims to establish partnerships with system integrators and hardware manufacturers while scaling its market presence.

India’s Semiconductor Market Growth

India’s semiconductor industry is witnessing rapid growth, driven by increasing demand for efficient computing solutions in AI and HPC. Calligo Technologies is strategically positioned to leverage this expansion, offering energy-efficient chips that address critical computational challenges.

Investor Insights

Narendra Bhandari from Seafund highlighted Calligo’s innovative chip designs, which improve performance while reducing power consumption. Anirudh A Damani of Artha Venture Fund emphasized the importance of POSIT-based computing in resolving fundamental bottlenecks in AI and HPC workloads.