- Updated: February 18, 2026
- 6 min read
DG Matrix Secures $60M Funding to Power AI‑Ready Data Centers with Solid‑State Transformers
DG Matrix has secured a $60 million Series A round to commercialize its solid‑state transformer technology, delivering AI‑ready, ultra‑efficient power solutions that can cut data‑center energy use by up to 15 % while simplifying infrastructure.
Data‑center operators, CTOs, and infrastructure engineers are racing to meet the soaring power demands of AI workloads. Traditional transformer stacks, inherited from the early 20th century, are bulky, inefficient, and a major source of heat. DG Matrix’s breakthrough solid‑state transformers (SSTs) promise to rewrite that rulebook. Backed by a $60 million infusion led by Engine Ventures, the startup is poised to roll out its Interport platform—an AI‑ready power router that can integrate solar, battery, and grid sources, eliminate legacy UPS systems, and boost overall efficiency to 98 %.
Funding Round: $60 Million to Power the Next‑Gen Data Center
The Series A round closed in February 2026, with participation from ABB, Cerberus Ventures, Chevron Technology Ventures, Clean Energy Ventures, Fine Structure Ventures, Helios Climate Ventures, MCJ, and Piedmont Capital. The capital will accelerate mass production of the Interport device, expand the engineering team, and fund pilot deployments with hyperscale operators.
- Accelerated hardware scaling to meet the projected 30 % annual growth in AI‑driven compute.
- Strategic partnerships for renewable‑energy integration, including a recent agreement with Exowatt.
- R&D investment for next‑generation sidecar modules that deliver rack‑level power on demand.
Solid‑State Transformers: How They Work and Why They Matter
Unlike conventional iron‑core transformers that rely on magnetic hysteresis, SSTs use silicon‑based power electronics to perform voltage conversion with near‑instantaneous response. The result is a compact, modular unit that can be digitally controlled, monitored, and optimized by AI algorithms.
Key Benefits of SSTs
- Size reduction: A 4 × 4 ft Interport replaces two 4 × 30 ft skids of legacy equipment, freeing valuable floor space.
- Higher efficiency: While traditional conversion chains achieve 82‑90 % efficiency, SSTs operate at 95‑98 %.
- Improved reliability: Fewer mechanical components mean lower failure rates and reduced maintenance.
- Dynamic load balancing: Real‑time AI control can shift power between solar, battery, and grid sources without manual intervention.
- Scalable architecture: Units can be stacked or linked to support megawatt‑scale deployments.
The Interport device can handle up to 2.4 MW of combined input, allowing a single unit to power twelve 100‑kW racks—an arrangement that would otherwise require multiple UPS systems and power distribution units (PDUs). By consolidating these components, DG Matrix not only cuts capital expenditures but also reduces the carbon footprint of the data‑center power chain.
AI‑Ready Power Architecture: From Grid to Rack
DG Matrix’s platform is built around an AI‑centric control plane that continuously monitors voltage, current, temperature, and load patterns. Machine‑learning models predict demand spikes, pre‑emptively charge batteries, and orchestrate renewable inputs to maintain a seamless power supply.
Core Components
- Interport Router: The physical SST that aggregates multiple power sources.
- AI Control Engine: Cloud‑native software that runs predictive analytics and optimization algorithms.
- Telemetry Dashboard: Real‑time visualization of power health, accessible via the UBOS platform overview.
- Edge Integration: APIs for third‑party monitoring tools, including OpenAI ChatGPT integration for conversational diagnostics.
The architecture aligns perfectly with the emerging Enterprise AI platform by UBOS, enabling operators to embed AI workloads directly into the power management stack. This synergy reduces latency for AI inference tasks that are sensitive to power fluctuations, a critical advantage for high‑frequency trading, autonomous vehicle training, and real‑time video analytics.
Market Impact and Future Outlook
The global data‑center power market is projected to exceed $120 billion by 2030. DG Matrix’s SSTs address three core pain points that have limited growth:
- Energy efficiency mandates: Governments worldwide are tightening PUE (Power Usage Effectiveness) standards. SSTs help facilities achieve sub‑1.2 PUE scores.
- Space constraints: Urban edge data centers often lack the footprint for traditional power rooms. Compact SSTs enable dense deployments.
- Renewable integration: As operators shift to 24/7 carbon‑free electricity, flexible power routing becomes essential.
Beyond hyperscale clouds, DG Matrix sees opportunities in:
- Edge sites powering AI‑enabled IoT gateways.
- Remote micro‑grids for telecom towers and mining operations.
- EV‑charging hubs that share battery capacity with data‑center loads.
The company’s roadmap includes a “sidecar” module that attaches directly to server racks, delivering UBOS solutions for SMBs and enabling plug‑and‑play AI‑ready power without a central UPS. In the longer term, DG Matrix plans to expand into off‑grid community power, leveraging the same SST technology to orchestrate solar, wind, and storage for villages that lack transmission infrastructure.
Leadership Perspective
“Our solid‑state transformers turn the data‑center power stack into a software‑defined system,” said Haroon Inam, co‑founder and CEO of DG Matrix. “By reducing the hardware footprint and boosting efficiency to 98 %, we give operators the flexibility to power AI workloads with renewable energy while cutting OPEX and CAPEX. This is the first step toward truly AI‑ready infrastructure.”
What This Means for Your Data Center
If you’re evaluating next‑generation power solutions, consider how an SST‑based architecture can align with your sustainability goals and AI workload roadmap. Explore real‑world case studies in our data center efficiency article and stay updated on the latest trends in energy tech.
UBOS also offers complementary tools that can accelerate your AI‑ready transformation:
- AI marketing agents to optimize workload scheduling based on energy pricing.
- Workflow automation studio for automating power‑state transitions.
- Web app editor on UBOS for building custom dashboards that visualize SST performance.
- Telegram integration on UBOS to receive instant alerts on power anomalies.
- ChatGPT and Telegram integration for conversational troubleshooting.
- Chroma DB integration to store high‑frequency telemetry for predictive analytics.
- ElevenLabs AI voice integration for audible alerts in control rooms.
- UBOS templates for quick start that include pre‑built SST monitoring panels.
- UBOS partner program for joint go‑to‑market initiatives.
- UBOS pricing plans that scale with your power footprint.
For a deeper dive into how solid‑state transformers can reshape your power topology, read the original coverage on TechCrunch. The article details the partnership with Exowatt and the technical specifications of the Interport device.
DG Matrix’s $60 million funding round marks a pivotal moment for the data‑center industry. By marrying solid‑state transformer hardware with AI‑driven control, the company offers a path to higher efficiency, lower cost, and greener operations—exactly the combination that modern data‑center leaders need to stay competitive in an AI‑first world.