US firm launches modular sodium-ion battery to power data centers and utilities ⁠90%

By Neetika Walter⁠62%

7/10/2026, 12:32:58 AM

BS Summary: This article contains 16 faulty reasoning types, including Optimism Bias, Ambiguity (Equivocation), and Confirmation Bias, with Attempt to Sell a Product or Service as the most egregious example at 81.7% saturation with 402 hits. Analysis detected 1,169 faulty-reasoning hits from 492 analyzed words, generating a BS Score of 83.9% and a BS Rank of ⁠90% (2,079 of 20,444 articles). This article is worse (more manipulative) than 89.80% of the article peer group.

US energy storage company ESS has launched a modular sodium-ion battery energy storage system aimed at utilities, data centers, critical infrastructure operators and commercial customers looking for an alternative to lithium-ion batteries. 
Called Bridge, the battery system is designed to meet growing electricity demand from autonomous computing workloads while reducing dependence on critical minerals used in conventional lithium-ion batteries. 
The launch expands ESS’ portfolio of U.S.-made, non-lithium energy storage products across short-, medium- and long-duration applications. 
The announcement comes weeks after ESS said it had generated more than $1 billion in early-stage customer opportunities following its entry into the sodium-ion battery market, highlighting rising interest in alternative battery chemistries for large-scale energy storage. 
Bridge is built as a modular 1.2 MWh AC battery system housed inside a 10-foot container. 
Multiple units can be stacked to deliver up to 4.8 MWh of storage in the footprint of a conventional 20-foot battery container, allowing customers to increase capacity without requiring additional space. 
Beyond lithium batteries 
The company said Bridge combines sodium-ion battery cells with integrated power conversion, battery management software, cabling and an energy management system for plant-level monitoring and control. 
The plug-and-play design can be installed using a heavy-duty forklift and relies on simple air cooling instead of more complex liquid cooling systems. 
Unlike lithium-ion batteries, the sodium-ion system is designed to eliminate the risk of thermal runaway, reducing fire hazards while lowering maintenance requirements and overall operating costs. 
It also supports charging and discharging durations ranging from one hour to more than 16 hours, depending on system configuration. 
Engineered for harsh operating conditions, the battery is designed to function in temperatures ranging from -40°F to 122°F and has a projected operating life of 20 years, reducing the need for battery replacements over the lifetime of an installation. 
“Bridge is how we meet the demand we’re already seeing,” said Drew Buckley, CEO of ESS. 
“AI workloads are reshaping what data centers need from energy storage, and sodium-ion handles those power needs more effectively than conventional technologies.” 
Built for resilience 
ESS said the system is built using abundant and widely available materials, helping reduce dependence on constrained critical minerals while supporting the development of a domestic supply chain for energy storage. 
The company also said the platform can help customers reduce exposure to Foreign Entities of Concern by relying on an alternative battery supply chain . 
“Today’s battery asset owners are looking for solutions that improve upon the conventional model,” said Randall Selesky, Chief Commercial Officer at ESS. 
“They want systems that improve safety, simplify operations, provide flexibility and support long-term energy security objectives.” 
The company believes demand for sodium-ion batteries will continue to grow as utilities and data center operators seek safer, longer-lasting storage systems capable of supporting expanding electricity consumption. 
With Bridge, ESS is positioning sodium-ion technology as a domestic alternative to conventional lithium-ion systems for grid-scale energy storage . 
Article reasoning-pattern comparisonThis article: 14.0%Neetika Walter: 4.0%Interesting Engineering: 3.9%Confirmation Bias14.0%This article: 0.0%Neetika Walter: 0.9%Interesting Engineering: 1.2%Anchoring Bias0.0%This article: 4.7%Neetika Walter: 1.8%Interesting Engineering: 2.5%Availability Heuristic4.7%This article: 0.0%Neetika Walter: 1.1%Interesting Engineering: 1.2%Representativeness Heuristic0.0%This article: 0.0%Neetika Walter: 0.2%Interesting Engineering: 0.3%Hindsight Bias0.0%This article: 9.8%Neetika Walter: 5.3%Interesting Engineering: 5.4%Overconfidence Bias9.8%This article: 13.8%Neetika Walter: 6.9%Interesting Engineering: 6.4%Framing Effect13.8%This article: 0.0%Neetika Walter: 0.1%Interesting Engineering: 0.2%Loss Aversion0.0%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.6%Status Quo Bias0.0%This article: 0.0%Neetika Walter: 0.2%Interesting Engineering: 0.4%Sunk Cost Effect0.0%This article: 31.7%Neetika Walter: 19.0%Interesting Engineering: 16.6%Optimism Bias31.7%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.5%Pessimism Bias0.0%This article: 0.0%Neetika Walter: 0.2%Interesting Engineering: 1.0%Negativity Bias0.0%This article: 0.0%Neetika Walter: 6.8%Interesting Engineering: 4.7%Self-Serving Bias0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.1%Fundamental Attribution Error0.0%This article: 0.0%Neetika Walter: 0.1%Interesting Engineering: 0.0%Actor-Observer Bias0.0%This article: 0.0%Neetika Walter: 2.5%Interesting Engineering: 1.0%In-Group Bias0.0%This article: 0.0%Neetika Walter: 0.1%Interesting Engineering: 0.1%Out-Group Homogeneity Bias0.0%This article: 13.2%Neetika Walter: 4.7%Interesting Engineering: 5.0%Halo Effect13.2%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Horn Effect0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Dunning-Kruger Effect0.0%This article: 7.5%Neetika Walter: 0.5%Interesting Engineering: 1.0%Recency Bias7.5%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.2%Primacy Effect0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Blind-Spot Bias0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Ad Hominem0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Straw Man0.0%This article: 12.2%Neetika Walter: 6.1%Interesting Engineering: 9.0%Appeal to Authority12.2%This article: 5.3%Neetika Walter: 1.2%Interesting Engineering: 1.5%False Dilemma5.3%This article: 0.0%Neetika Walter: 0.1%Interesting Engineering: 0.3%Slippery Slope0.0%This article: 0.0%Neetika Walter: 0.1%Interesting Engineering: 0.1%Circular Reasoning0.0%This article: 5.7%Neetika Walter: 4.0%Interesting Engineering: 5.1%Hasty Generalization5.7%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.2%Red Herring0.0%This article: 4.5%Neetika Walter: 0.5%Interesting Engineering: 0.8%Bandwagon4.5%This article: 3.3%Neetika Walter: 2.8%Interesting Engineering: 2.4%Appeal to Emotion3.3%This article: 7.9%Neetika Walter: 1.0%Interesting Engineering: 1.3%Begging the Question7.9%This article: 7.5%Neetika Walter: 1.6%Interesting Engineering: 2.2%Post Hoc (False Cause)7.5%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Tu Quoque0.0%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.6%Burden of Proof0.0%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.2%Appeal to Nature0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.3%Composition/Division0.0%This article: 0.0%Neetika Walter: 0.4%Interesting Engineering: 0.7%Anecdotal0.0%This article: 0.0%Neetika Walter: 0.1%Interesting Engineering: 0.1%No True Scotsman0.0%This article: 14.8%Neetika Walter: 1.1%Interesting Engineering: 2.7%Ambiguity (Equivocation)14.8%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Middle Ground0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Personal Incredulity0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.2%Special Pleading0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Genetic Fallacy0.0%This article: 0.0%Neetika Walter: 0.9%Interesting Engineering: 1.8%Unattributed Quote0.0%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.7%Quote-first Misdirection0.0%This article: 0.0%Neetika Walter: 2.1%Interesting Engineering: 3.8%Biased Writer Voice0.0%This article: 0.0%Neetika Walter: 0.5%Interesting Engineering: 0.8%Indoctrination0.0%This article: 0.0%Neetika Walter: 0.0%Interesting Engineering: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Neetika Walter: 0.3%Interesting Engineering: 0.1%Politically Right Leaning Bias0.0%This article: 81.7%Neetika Walter: 15.5%Interesting Engineering: 10.6%Attempt to Sell a Product or S…81.7%

492 words analyzed.

Speakers

3speakers32%attributed speech334writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 32 words • 100.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 17 words • 100.0% coverageWriter's voice • 37 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 31 words • 100.0% coverageWriter's voice • 3 words • 100.0% coverageESS • 26 words • 0.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 26 words • 100.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 39 words • 100.0% coverageDrew Buckley • 16 words • 0.0% coverageDrew Buckley • 22 words • 100.0% coverageWriter's voice • 3 words • 100.0% coverageESS • 31 words • 100.0% coverageESS • 25 words • 100.0% coverageRandall Selesky • 22 words • 100.0% coverageRandall Selesky • 16 words • 100.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 20 words • 100.0% coverage
Selected voice

Drew Buckley

100%flagged-word coverage
38 attributed words24% of attributed speech86% writer coverage
0%45.0%90.0%Attempt to Sell a Product -27.7 ptsWriter: 85.6%Drew Buckley: 57.9%57.9%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.