Taavi Madiberk
CEO

Skeleton Technologies provides rack-to-grid power systems for AI data centers, addressing the power bottlenecks created by rapidly fluctuating GPU workloads. Its proprietary Curved Graphene-based supercapacitors deliver a 10 µs dynamic response time, enabling up to 45% energy savings and a 40% boost in GPU computing power. The company offers a full portfolio including GrapheneUPS, GrapheneBBU, and GrapheneGPU systems engineered from the cell level to complete power infrastructure.
Raised to date
€392MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $427.3M$235.3M across 4 disclosed rounds

AACHEMC+2€29M · Series D Extension
Announced Jul 2021 · from article date
Disclosed cumulative: $31.6M
Reported total $427.3M
Not on chart (date unknown): Series D €41.3M, Funding Round €37.6M, Funding Round €108M
Incomplete round history. $191.9M of the $427.3M reported total isn’t matched to a known round.
The increasing demand for AI processing power strains existing data center power infrastructure, leading to significant energy inefficiency and high operational costs. GPU clusters shift between power states in milliseconds, creating rapid load swings and peaks that current power systems cannot handle efficiently, often forcing operators to use artificial compute loads that waste energy and generate excess heat.
Skeleton Technologies provides advanced energy storage solutions utilizing proprietary Curved Graphene technology to address the power demands of AI data centers. The company's GrapheneGPU system smooths out the fluctuating power consumption of GPUs, enabling them to operate continuously by storing energy during idle periods and releasing it during peak demand, eliminating the need for energy-wasting artificial loads. Skeleton offers full power systems from the IT rack to the electrical grid, including CBU and BBU sidecars, double-conversion UPS, and power support for Solid-State Transformers. The systems are engineered from the cell level to complete power systems, combining supercapacitors with power electronics and system-level controls to manage rapidly changing power demands of AI clusters. By optimizing power delivery, Skeleton's solutions reduce both capital expenditure on infrastructure upgrades and operational costs related to energy consumption and cooling.
The primary target audience includes operators of AI data centers, hyperscalers, and organizations with significant GPU computing workloads seeking to optimize energy efficiency and computational performance.