SimYog and QNu, early players riding the funding wave in tech.

Cybersecurity firm QNu Labs and electromagnetic interference simulation startup SimYog have secured significant early-stage funding. Here are the key points:

• Quantum-safe cybersecurity firm QNu Labs has raised $6.5m in a pre-Series A1 funding round for product development, talent hiring, and geographic expansion.
• The startup SimYog, which develops electromagnetic interference simulation software, has collected $2.4m in fresh funding to address more customers and accelerate product releases.

QNu Labs secured the $6.5 million from a pool of investors including Ashish Kacholia of Lucky Investments, Speciale Invest, and an undisclosed family fund. The quantum-safe cybersecurity products and solutions developed by QNu Labs are focused on securing data on the internet, cloud, and edge against the new age cyber-attacks on critical information infrastructure, communication, and personally identifiable information. While declaring the funding details, QNu Labs co-founder and CEO Sunil Gupta hinted at the acceleration in the completion of their quantum technology solutions and the improvement of their product suite. Prior to this, the startup raised an unspecified amount in 2022 from Speciale Invest, WAOO Partners LLP, another undisclosed venture capital fund, as well as angel investors.

In a separate funding round led by early-stage investor Mela Ventures and 1Crowd, SimYog raised $2.4 million. The existing investor, IdeaSpring, also contributed to the round. The deeptech startup, based in Bengaluru, makes electromagnetic interference and compliance (EMI/EMC) simulation software that tests product designs for EMI/EMC compatibility across scenarios and user applications. The funding will be utilized to reach customers challenged with EMI/EMC testing, allowing product releases to happen faster and more cost-effectively according to Dipanjan Gope, co-founder and CEO of SimYog. The platform provides solutions at the design stage by identifying the EMI/EMC-related issues and also suggesting beneficial design modifications that are otherwise impossible at traditional physical labs.