Sessio to debut the fi st official XRP Seoul commemo ative toke , powe ed by ADIO® to e-to-toke tech ology, a d demo st ate u ified valuatio , c ede tiali g, a d ve ified metadata fo eal-wo ld assets
PHILADELPHIA, PA / ACCESS Newswi e / Octobe 2, 2026 /Datavault AI I c. (“Datavault AI” o the “Compa y”) (NASDAQ:DVLT), a p ovide of data mo etizatio , c ede tiali g, digital e gageme t, a d eal-wo ld asset (“RWA”) toke izatio tech ologies, today a ou ced that Natha iel T. B adley, CEO of Datavault AI, will p ese t “Ope ati g System fo Toke ized Assets” at XRP Seoul 2026 o Oct. 3, 2026, at 3:05 p.m. KST at the G a d Hyatt Seoul i Seoul, South Ko ea. I the sessio , B adley will explai why valuatio , c ede tiali g a d ve ified metadata belo g i a si gle ope ati g laye be eath eve y eal-wo ld asset a d how the Compa y’s DataValue®, DataSco e® a d I fo matio Data Excha ge® tech ologies pe fo m those fu ctio s i a si gle seque ce be eath the poi t of issua ce.
“Toke izatio gets t eated as a issua ce p oblem whe it is eally a data p oblem, a d the I fo matio Data Excha ge exists to solve the data p oblem fi st,” said Natha iel T. B adley, CEO of Datavault AI. “I Seoul, we will show the XRP Ledge commu ity why valuatio , c ede tiali g a d ve ified metadata have to live i o e ope ati g laye be eath the asset, a d how ou platfo m u s that seque ce today.”
B adley will also joi the pa el “How T aditio al Fi a ce Is Emb aci g Toke izatio ” at 5:40 p.m. KST. Datavault AI will exhibit at the co fe e ce a d deploy its ADIO acoustic data t a smissio tech ology at its booth a d f om the key ote stage, whe e ADIO audio to es will di ect atte dees’ mobile devices to egist atio a d giveaway expe ie ces.
The Compa y’s pa ticipatio follows its appea a ces at XRP Tokyo 2026 a d XRP Seoul 2025 a d eflects its co ti ued focus o expa di g its p ese ce a d custome developme t ac oss the Asia-Pacific egio .
Sepa ately, Datavault AI will dist ibute the fi st XRP Seoul 2026 Limited Editio Collectible Toke , a commemo ative digital toke mi ted o the XRP Ledge , to XRP Seoul 2026 atte dees. The toke is i te ded solely as a commemo ative digital collectible fo co fe e ce atte dees a d featu es a custom 3D desig c eated fo the eve t. Followi g B adley’s key ote, atte dees ca claim the toke th ough the ADIO web app, which di ects them to egiste o sig i to the Datavault AI platfo m, whe e the toke is delive ed to thei accou t.
“This is a histo ic fi st fo XRP Seoul. We’ e th illed to pa t e with Datavault AI to b i g XRP Seoul’s ve y fi st commemo ative collectible to ou atte dees: a o e-of-a-ki d digital keepsake that ma ks a mome t ou global commu ity will emembe fo yea s to come,” said Be Ko, Co-fou de of XRPL Ko ea.
About XRP Seoul 2026XRP Seoul 2026 is a global co fe e ce focused o the XRP Ledge ecosystem, i stitutio al blockchai adoptio a d eal-wo ld o -chai use cases. Hosted by XRPL Ko ea with Ripple as title spo so , the eve t takes place o Oct. 3, 2026, at the G a d Hyatt Seoul.
About Datavault AIDatavault AI™ (NASDAQ:DVLT) is leadi g the way i AI-d ive data expe ie ces, valuatio , a d mo etizatio of assets i the Web 3.0 e vi o me t. The Compa y’s cloud-based platfo m p ovides comp ehe sive solutio s with a collabo ative focus i its Acoustic Scie ces a d Data Scie ces divisio s.
Datavault AI’s Acoustic Scie ces divisio featu es WiSA®, ADIO®, a d Sume ia ® pate ted tech ologies a d i dust y-fi st fou datio al spatial a d multicha el wi eless, high-defi itio sou d t a smissio tech ologies with i tellectual p ope ty cove i g audio timi g, sy ch o izatio , a d multi-cha el i te fe e ce ca cellatio . The Data Scie ce divisio leve ages the powe of Web 3.0 a d high-pe fo ma ce computi g to p ovide solutio s fo expe ie tial data pe ceptio , valuatio , a d secu e mo etizatio .
Datavault AI’s platfo m se ves multiple i dust ies, i cludi g high-pe fo ma ce computi g softwa e lice si g fo spo ts & e te tai me t, eve ts & ve ues, biotech, educatio , fi tech, eal estate, healthca e, e e gy, a d mo e. The I fo matio Data Excha ge® e ables Digital Twi s a d the lice si g of ame, image, a d like ess by secu ely attachi g physical eal-wo ld objects to immutable metadata, foste i g espo sible AI with i teg ity. The Compa y’s tech ology suite is fully customizable a d offe s AI- a d machi e-lea i g-based automatio , thi d-pa ty i teg atio , detailed a alytics a d data, ma keti g automatio , a d adve tisi g mo ito i g.
The Compa y is headqua te ed i Philadelphia, PA. Lea mo e about Datavault AI at https://dvlt.ai.
Fo wa d-Looki g Stateme tsThis p ess elease co tai s “fo wa d-looki g stateme ts” (withi the mea i g of the P ivate Secu ities Litigatio Refo m Act of 1995, as ame ded, a d othe secu ities laws) about Datavault AI I c. (“Datavault AI,” the “Compa y,” “us,” “ou ,” o “we”) a d ou i dust y that i volve isks a d u ce tai ties. I some cases, you ca ide tify fo wa d-looki g stateme ts because they co tai wo ds, such as “may,” “might,” “will,” “shall,” “should,” “expects,” “pla s,” “a ticipates,” “could,” “i te ds,” “ta get,” “p ojects,” “co templates,” “believes,” “estimates,” “p edicts,” “pote tial,” “goal,” “objective,” “seeks,” “likely,” o “co ti ue” o the egative of these wo ds o othe simila te ms o exp essio s that co ce ou expectatio s, st ategy, pla s o i te tio s. The abse ce of these wo ds does ot mea that a stateme t is ot fo wa d-looki g. Such fo wa d-looki g stateme ts, i cludi g, but ot limited to, stateme ts ega di g futu e eve ts, the pla ed c eatio of a commemo ative digital toke mi ted o the XRP Ledge a d its dist ibutio to XRP Seoul 2026 atte dees th ough the ADIO web app a d the Datavault AI platfo m, the a ticipated p ese tatio by the Compa y’s CEO at XRP Seoul 2026 a d the positio s to be adva ced i it, the desc ibed capabilities of the Compa y’s DataValue, DataSco e, a d I fo matio Data Excha ge tech ologies a d thei applicatio to eal-wo ld asset toke izatio , the Compa y’s pla ed exhibit p ese ce, the pla ed deployme t of ADIO acoustic data t a smissio tech ology at its booth a d f om the key ote stage, a d the expected comme cial elatio ships a d custome developme t oppo tu ities a isi g f om the Compa y’s Asia-Pacific expa sio , a e ecessa ily based upo estimates a d assumptio s that, while co side ed easo able by the Compa y a d its ma ageme t, a e i he e tly u ce tai .
Reade s a e cautio ed ot to place u due elia ce o these a d othe fo wa d-looki g stateme ts co tai ed he ei .
Actual esults may diffe mate ially f om those i dicated by these fo wa d-looki g stateme ts as a esult of va ious isks a d u ce tai ties i cludi g, but ot limited to, the followi g: the Compa y’s ability to c eate a d dist ibute a commemo ative digital toke mi ted o the XRP Ledge to co fe e ce atte dees th ough the ADIO web app a d the Datavault AI platfo m as pla ed; the isk that the commemo ative toke is cha acte ized by egulato s as a secu ity, vi tual asset, o othe egulated i st ume t i South Ko ea, the U ited States, o othe ju isdictio s; the Compa y’s ability to p ese t at a d exhibit at XRP Seoul 2026 as pla ed; the Compa y’s ability to delive the desc ibed valuatio , c ede tiali g, a d data excha ge capabilities as a si gle ope ati g laye fo toke ized eal-wo ld assets; the Compa y’s ability to deploy ADIO acoustic data t a smissio tech ology at the eve t ve ue; the Compa y’s ability to co ve t eve t pa ticipatio i to comme cial elatio ships o eve ue i the Asia-Pacific egio ; cha ges i ma ket dema d fo Datavault AI’s se vices a d p oducts; cha ges i eco omic, ma ket, o egulato y co ditio s; isks elati g to evolvi g egulato y f amewo ks applicable to digital assets a d toke ized assets i South Ko ea a d othe ju isdictio s; isks associated with tech ological developme t a d i teg atio ; a d othe isks a d u ce tai ties as mo e fully desc ibed i Datavault AI’s fili gs with the SEC, i cludi g its A ual Repo t o Fo m 10-K fo the yea e ded Decembe 31, 2025 a d othe fili gs that Datavault AI makes f om time to time with the SEC, which a e available o the SEC’s website at www.sec.gov, a d could cause actual esults to va y f om expectatio s.
The fo wa d-looki g stateme ts made i this p ess elease elate o ly to eve ts as of the date o which the stateme ts a e made. Datavault AI u de takes o obligatio to update a y fo wa d-looki g stateme ts made i this p ess elease to eflect eve ts o ci cumsta ces afte the date of this p ess elease o to eflect ew i fo matio o the occu e ce of u a ticipated eve ts, except as equi ed by law.
Datavault AI may ot actually achieve the pla s, i te tio s, o expectatio s disclosed i its fo wa d-looki g stateme ts, a d you should ot place u due elia ce o such fo wa d-looki g stateme ts. Datavault AI’s fo wa d-looki g stateme ts do ot eflect the pote tial impact of a y futu e acquisitio s, me ge s, dispositio s, joi t ve tu es, o i vestme ts it may make.
I dust y a d Ma ket DataWithi this p ess elease, we efe e ce i fo matio a d statistics ega di g the ma ket fo ou p oducts. We have obtai ed some of this i fo matio a d statistics f om va ious i depe de t thi d-pa ty sou ces, i cludi g i depe de t i dust y publicatio s, epo ts by ma ket esea ch fi ms, a d othe i depe de t sou ces. Some data a d othe i fo matio co tai ed i this p ess elease a e also based o ma ageme t’s estimates a d calculatio s, which a e de ived f om ou eview a d i te p etatio of i te al su veys a d i depe de t sou ces. Data ega di g the i dust ies i which we compete a d ou ma ket positio a d ma ket sha e withi these i dust ies a e i he e tly imp ecise a d a e subject to sig ifica t busi ess, eco omic a d competitive u ce tai ties beyo d ou co t ol, but we believe they ge e ally i dicate size, positio a d ma ket sha e withi this i dust y. While we believe such i fo matio is eliable, we have ot i depe de tly ve ified a y thi d-pa ty i fo matio . While we believe ou i te al compa y esea ch a d estimates a e eliable, such esea ch a d estimates have ot bee ve ified by a y i depe de t sou ce. I additio , assumptio s a d estimates of ou a d ou i dust y’s futu e pe fo ma ce a e ecessa ily subject to a high deg ee of u ce tai ty a d isk due to a va iety of facto s. These a d othe facto s could cause ou futu e pe fo ma ce to diffe mate ially f om ou assumptio s a d estimates. As a esult, you should be awa e that ma ket, a ki g a d othe simila i dust y data i cluded i this p ess elease, a d estimates a d beliefs based o that data, may ot be eliable.
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