SatLeo Labs Secures $3.3 Mn to Advance House-Based mostly Thermal Imaging

Ahmedabad-based space-tech startup SatLeo Labs has raised USD 3.3 million in pre-seed funding to develop high-resolution thermal and visual imaging expertise from Low Earth Orbit (LEO).

The funding spherical was led by Merak Ventures with participation from Huddle Ventures, GVFL, Java Capital, IIMA Ventures, PointOne Capital, and angel buyers Manish Gandhi and Dheer Baldua.

The corporate acknowledged that the funds shall be utilised to develop SatLeo’s proprietary thermal imaging payload, conduct feasibility research, safe regulatory approvals, and develop its crew and infrastructure. It goals to validate its expertise by way of pilot testing and strengthen partnerships inside the area sector.

“Every 1°C rise in temperature can cut back international GDP by as much as 10%. Our thermal knowledge helps detect dangers earlier than they flip into billion-dollar losses, from crop failures to wildfires,” mentioned Shravan Bhati, co-founder and CEO at SatLeo Labs.

SatLeo is creating a dual-band thermal payload for fused multispectral imaging, with purposes spanning agriculture, environmental conservation, city planning, and defence. Co-founder and CSO Urmil Bakhai famous that the worldwide marketplace for Earth Statement knowledge is projected to exceed $700 billion by 2030.

SatLeo has secured over $25 million in Letters of Intent from potential shoppers and is collaborating with ISRO and IN-SPACe. The crew contains former ISRO scientists, positioning it to make a major influence on the geospatial analytics sector.

“We’re backing them for a real tech breakthrough that makes thermal knowledge extra helpful, accessible and reasonably priced,” mentioned Sheetal Bahl, associate at Merak Ventures.

The corporate plans to launch its first thermal imaging satellite tv for pc quickly, delivering cost-effective and scalable space-based intelligence options globally.

The publish SatLeo Labs Secures $3.3 Mn to Advance House-Based mostly Thermal Imaging appeared first on Analytics India Journal.

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