Commonwealth Fusion Systems leans on magnets for near-term revenue
Realta Fusion is buying magnets from Commonwealth Fusion Systems, providing a revenue stopgap.
Commonwealth Fusion Systems said on Thursday it would sell high-temperature superconducting magnets to Realta Fusion, the second in a string of deals that suggests the company will lean heavily on its magnet technology in the coming years to bring in much-needed revenue.
“It’s the largest deal of this kind to date for CFS,” Rick Needham, the company’s chief commercial officer, told reporters on a call.
Commonwealth Fusion Systems, or CFS, previously sold magnets to the WHAM experiment at the University of Wisconsin, with which fusion startup Realta collaborates closely. The physics behind WHAM underpins Realta’s approach to fusion power, which is known as a magnetic mirror reactor.
In a magnetic mirror, plasma is confined into a shape that resembles two 2-liter soda bottles connected at the base. On each end, powerful magnets punch the plasma and force it back toward the center. Weaker magnets encircle the middle of the bottle shape.
To make a more powerful reactor, Khosla-backed Realta would only need to expand the middle section, and because those magnets are less powerful, they’re cheaper. Per kilowatt-hour costs should fall as Realta’s reactors increase in size.
CFS is pursuing another form of magnetic confinement fusion called a tokamak. In a tokamak, D-shaped magnets cast powerful fields to keep plasma circulating in a doughnut-like shape inside. Over the years, the company has refined its magnets in pursuit of putting electrons on the grid from Arc, its future commercial-scale reactor that’s slated to be built in Virginia.
Both CFS’ and Realta’s existence stem from the magnets themselves. CFS was founded in 2018 after scientists at MIT realized that a new class of commercially available high-temperature superconductors could underpin a viable tokamak design. Realta was founded a few years later when physicists at the University of Wisconsin “saw that there was a new technology, a game changer that would enable us to go back to the [magnetic] mirror and avail of those engineering advantages that the concept has,” co-founder and CEO Kieran Furlong said.
Techcrunch event
San Francisco, CA | October 13-15, 2026
In addition to the Realta and WHAM deals, CFS has also licensed its high-temperature superconducting magnet technology to Type One Fusion, which is working on a third type of reactor design known as a stellarator. While the latter deal doesn’t include CFS building actual magnets for the company, it could lead to that one day, Christine Dunn, CFS’ head of external communications, told TechCrunch.
The deals will help CFS pay off its investment in magnet manufacturing. The startup spent seven years and hundreds of millions of dollars building a factory capable of producing high-temperature superconducting magnets designed to fusion-power specifications. So far, that has gone toward building Sparc, the company’s demonstration reactor, which won’t turn on until later this year.
“With Sparc now 70% complete, it was excellent timing to start supporting Realta with our magnet manufacturing,” Needham said.
Because Realta and Type One are pursuing different reactor designs, CFS apparently doesn’t view them as directly competitive at the moment. In the marketplace, Realta and CFS are even further apart, with the former focusing initially on industrial applications that need large amounts of heat.
To date, CFS has raised nearly $3 billion — a large chunk of all venture dollars raised by fusion startups. That’s put the company in an enviable position, giving it the means to build key facilities like its magnet factory before competitors can. The startup pitches these deals as a service to the broader fusion industry, making available technologies that would cost many millions to replicate. That’s certainly true, but it also gives it access to even more venture investment, even if it’s in a roundabout way.
Update 1:45 pm ET: CFS’s manufacturing facility makes HTS magnets, not tape, and it won’t be idled but will be making additional magnets for Sparc. The article also misstated Rick Needham’s role as COO; he is CCO.
Tim De Chant is a senior climate reporter at TechCrunch. He has written for a wide range of publications, including Wired magazine, the Chicago Tribune, Ars Technica, The Wire China, and NOVA Next, where he was founding editor.
De Chant is also a lecturer in MIT’s Graduate Program in Science Writing, and he was awarded a Knight Science Journalism Fellowship at MIT in 2018, during which time he studied climate technologies and explored new business models for journalism. He received his PhD in environmental science, policy, and management from the University of California, Berkeley, and his BA degree in environmental studies, English, and biology from St. Olaf College.
You can contact or verify outreach from Tim by emailing [email protected].
View Bio
Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
revenue
Collusion-proof Auction Design using Side Information
arXiv:2511.12456v3 Announce Type: replace Abstract: We consider a multi-unit auction of identical items with single-minded bidders, where a subset of bidders may collude by coordinating bids and transferring payments and items among themselves. Classical collusion-proof mechanisms are largely restricted to posted-price formats, which fail to guarantee even approximate efficiency. We therefore adopt a learning-augmented approach to leverage side information about which bidders are colluding and obtain improved welfare and revenue guarantees. In our setting, colluding bidders optimally shade their bids to suppress prices. Using this characterization, we establish a Bulow-Klemperer type result showing that recruiting more honest bidders is better than the best collusion-proof auction mechanis

Perils of Parallelism: Transaction Fee Mechanisms under Execution Uncertainty
arXiv:2604.04193v1 Announce Type: cross Abstract: Modern blockchains increasingly rely on parallel execution to improve throughput. We show several industry and academic transaction fee mechanisms (TFMs) struggle to simultaneously account for execution parallelism while remaining performant and fair. First, if parallelism affects fees, adversarial protocol manipulations that offset possible benefits to throughput by introducing fake transactions become rational: users can insert functionally useless parallel transactions solely to reduce fees, and schedulers can create useless sequential transactions to increase revenue. Execution contingency, a core feature of expressive programming languages, both exacerbates the aforementioned threats and introduces new ones: (1) users may overpay for u

Build Your First MCP Server in Python: From Zero to Claude Integration
Building an MCP server gives Claude direct access to your services, databases, and APIs. Here's how to build one from scratch in Python. What You're Building An MCP server that Claude can use to query a SQLite database with natural language. Setup mkdir my-mcp-server cd my-mcp-server python3 -m venv .venv source .venv/bin/activate pip install mcp The Minimal MCP Server #!/usr/bin/env python3 import sqlite3 import json from mcp.server import Server from mcp.server.stdio import stdio_server from mcp.types import Tool , TextContent server = Server ( ' sqlite-explorer ' ) db = sqlite3 . connect ( ' data.db ' , check_same_thread = False ) db . row_factory = sqlite3 . Row @server.list_tools () async def list_tools () -> list [ Tool ]: return [ Tool ( name = ' query_database ' , description = ' E
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Market News

Meta Is About to Launch a Consumer-Facing AI Model, and OpenAI Is About to Have Its IPO, Making Now a Good Time to Buy Meta Stock - TradingKey
Meta Is About to Launch a Consumer-Facing AI Model, and OpenAI Is About to Have Its IPO, Making Now a Good Time to Buy Meta Stock TradingKey

Collusion-proof Auction Design using Side Information
arXiv:2511.12456v3 Announce Type: replace Abstract: We consider a multi-unit auction of identical items with single-minded bidders, where a subset of bidders may collude by coordinating bids and transferring payments and items among themselves. Classical collusion-proof mechanisms are largely restricted to posted-price formats, which fail to guarantee even approximate efficiency. We therefore adopt a learning-augmented approach to leverage side information about which bidders are colluding and obtain improved welfare and revenue guarantees. In our setting, colluding bidders optimally shade their bids to suppress prices. Using this characterization, we establish a Bulow-Klemperer type result showing that recruiting more honest bidders is better than the best collusion-proof auction mechanis




Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!