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CIMware Raises $2.3M for Hyperscale Infrastructure Expansion

CIMware's innovative CIM technology reduces latency and energy overhead. With fresh funds, the company aims to produce thousands of units and reach $175M in revenue by 2026-27.

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In the image there is a road, vehicles, trees, street lights, a water surface and a huge...
In the image there is a road, vehicles, trees, street lights, a water surface and a huge architecture.

CIMware Raises $2.3M for Hyperscale Infrastructure Expansion

CIMware, a pioneering deeptech startup, has secured $2.3 million in a pre-Series A round led by Transition VC. This is the company's first institutional funding, and the capital will fuel its expansion across hardware production, R&D, and global market penetration.

Founded in 2022 by distributed systems veteran Rajiv Ganth, CIMware specializes in hyperscale infrastructure. Its flagship product, the Composable Infrastructure Module (CIM), is a patented smart switching device that unites compute, storage, and networking into a single rack-level unit. The CIM's innovative approach allows memory to act as the interconnect backbone, reducing latency and energy overhead across servers.

The fresh funds will support CIMware's ambitious scale-up plans. The company aims to initially produce 80-100 units, with the potential to reach thousands based on demand. By December 2025, CIMware targets completing the initial production batch of 20 CIM units. The funds will also bolster engineering and software teams, enhancing product deployment cycles.

CIMware's commercial roadmap is equally ambitious. The company eyes a revenue milestone of $175 million by fiscal 2026-27 and plans an IPO within the next five to six years. CIMware is already in talks with renowned institutions like the University of Munich, Charité Berlin, and the Max Planck Institute for pilot rollouts.

CIMware's successful fundraising will accelerate its mission to modernize data centers with its patented CIM technology. With a strong product and ambitious plans, the company is poised to make a significant impact on AI, machine learning, and other data-intensive workloads.

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