The round was led by California-based climate technology investor VoLo Earth Ventures, which is backing the company’s approach to making AI models smaller and more efficient without sacrificing performance.

Refiant AI, founded in 2025 by Viroshan Naicker, Siddharth Gutta and Mathew Haswell, develops technology that restructures and compresses AI models.

Its system reduces the computational load required to run these models while retraining them to maintain their capabilities, allowing them to operate on smaller devices or local infrastructure rather than relying heavily on large-scale cloud systems.

The funding will be used to expand the company’s platform, grow its engineering team, and deepen partnerships with enterprise clients.

The startup is entering the market at a time when global demand for AI is driving a surge in infrastructure spending.

Major technology companies such as Microsoft and Meta are committing tens of billions of dollars to data centres to support AI workloads, with each company recently adding close to $50 billion in new data centre lease commitments.

However, this rapid expansion is also raising concerns about sustainability. AI systems require vast amounts of computing power, and data centres are becoming one of the fastest-growing sources of electricity demand globally.

Projections show that energy consumption from data centres could more than double in the coming decade as AI adoption accelerates.

Against this backdrop, Refiant AI is positioning itself as an alternative to the current model of scaling AI through ever-larger infrastructure.

“AI’s growing energy footprint is one of the most urgent and underappreciated challenges in the climate space,” said co-founder Siddharth Gutta.

“The industry’s default answer is to build more data centres and consume more power. Ours is to make the AI itself dramatically more efficient.”

The company says its technology is particularly relevant in regions where computing resources are limited or cloud services are costly.

Industries such as banking, telecommunications and government services could use its tools to run AI systems locally, reducing dependence on constant internet access and expensive cloud infrastructure.

Refiant AI is already in early discussions with multinational technology firms as it explores ways to help large organisations cut computing costs while maintaining performance standards.

Investors see the startup’s approach as part of a necessary shift in how AI is developed.

“AI’s biggest constraint isn’t demand – it’s energy,” said Joseph Goodman, Managing Partner at VoLo Earth Ventures.

“What’s been missing is a fundamentally more efficient way to compute. Refiant’s architecture replaces brute-force scaling with a far more efficient, nature-inspired approach that lowers energy use while increasing capability.”