CrisprBits Raises $3 Mn in Pre-Series A to scale CRISPR Diagnostics

The fresh capital will be used by CrisprBits to scale up the commercialization of its molecular-diagnostics offering, PathCrisp, and to ramp up manufacturing for diagnostics targeting human health

Bengaluru-based biotech startup CrisprBits has secured $ 3 million in a Pre-Series A funding round, reaching a valuation of approximately $ 12 million.

The round was led by Spectrum Impact, the investment arm of Rajendra Gogri, Chairman and Managing Director of Aarti Industries.

The round also included participation from the founders and existing backer Vijay Alreja of VJ Technologies Group, alongside new investors associated with HBL Engineering.

The fresh capital will be used by CrisprBits to scale up the commercialization of its molecular-diagnostics offering, PathCrisp, and to ramp up manufacturing for diagnostics targeting human health.

Commenting on the new investment, Vijay Chandru, CEO, CrisprBits, said, “Our focus has always been on attracting patient capital that shares our visionary goal: to Rewrite Biology and Reimagine the Planet. This funding round provides the fuel for that mission and our team of pioneering CRISPR scientists and results-driven commercial leadership. We are now perfectly positioned to not just launch our products and services in India, but to immediately scale to global markets, ensuring our innovation delivers high-quality, affordable solutions at a truly international scale.”

The funding is also aimed at accelerating the development of its CRISPR-driven strain engineering platform, with an initial focus on the optimisation of processes for biofuel production to address unmet industrial sustainability needs.

Further, the startup plans to expand its CRISPR-based diagnostic products into global markets, including Africa and Latin America, over the next six months.

In addition, the startup plans to enhance its operations by expanding infrastructure and production capabilities at its diagnostics manufacturing facility.

Furthermore, the startup aims to build a proprietary AI-driven strain engineering platform to support sustainability-focused solutions.

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