Custom-t ai ed models, built o the clie t’s ow data. Rathe tha elyi g o a ge e ic model, O eMeta ca t ai t a slatio a d t a sc iptio models usi g a clie t’s ow te mi ology, eco ds, a d la guage patte s – imp ovi g accu acy fo the clie t’s specific i dust y a d vocabula y.Data that eve leaves the clie t’s e vi o me t. Co ve satio s, models, a d datasets stay o i f ast uctu e the clie t ow s. Nothi g is t a smitted to a public cloud p ovide .Fully ai -gapped ope atio . The a chitectu e ca u o se ve s with o co ectio to the public i te et at all, fo defe se, gove me t, a d othe high-secu ity e vi o me ts.Accu ate, audit- eady t a sc iptio of se sitive i fo matio . The same app oach O eMeta uses to captu e ames, accou t umbe s, a d medical details accu ately – without guesswo k – ow u s e ti ely i side the clie t’s ow systems.No t ade-off o i teg atio speed. O eMeta’s SDK a chitectu e, al eady used to embed t a slatio i to e te p ise systems, applies the same way o -p emises as it does i the cloud.
What’s ew: Ve bumSDK O -P em / Edge – O eMeta’s t a slatio a d t a sc iptio a chitectu e ca ow be t ai ed o a clie t’s ow data a d u e ti ely withi a clie t’s ow i f ast uctu e: p ivate se ve s, ai -gapped e vi o me ts, o edge a d desktop devicesMa ket size: The global sove eig AI ma ket is p ojected to g ow f om $40.0 billio i 2025 to $148.0 billio by 2032, a 20.6% compou d a ual g owth ate, acco di g to Ma ketsa dMa kets (August 2026)Fastest-g owi g segme t: Ma ketsa dMa kets ide tifies o -p emises AI i f ast uctu e as the fastest-g owi g deployme t mode withi that ma ketE te p ises a e al eady movi g: Acco di g to B oadcom’s P ivate Cloud Outlook 2026, a global su vey of 1,800 se io IT leade s, the sha e of e te p ises usi g public cloud as thei p ima y e vi o me t fo p oductio AI fell f om 56% to 41% i a si gle yea , while 56% ow u o pla to u p oductio AI o p ivate i f ast uctu eP ima y buye s: Healthca e, fi a ce, gove me t, a d othe o ga izatio s with st ict data-secu ity o complia ce equi eme ts
E te p ises have eached a tu i g poi t i how they deploy AI. Acco di g to B oadcom’s 2026 su vey of se io IT leade s, mo e tha half of e te p ises ow u o pla to u p oductio AI i fe e ce o p ivate i f ast uctu e athe tha the public cloud – a eve sal f om ea -pa ity just a yea ea lie . I depe de t a alysts at Ma ketsa dMa kets p oject the sove eig AI ma ket will mo e tha t iple by 2032, a d ide tify o -p emises i f ast uctu e as g owi g faste tha a y othe deployme t model withi it.
The easo s a e co siste t ac oss i dust ies: e te p ises wa t the be efits of eal-time AI without givi g up co t ol of thei data, thei models, o thei complia ce postu e. Fo O eMeta’s ow clie t base – egulated o ga izatio s i healthca e, fi a ce, a d gove me t – this has mea t aski g a di ect questio : ca eal-time t a slatio u without a y co ve satio eve leavi g the buildi g.
O eMeta’s a swe is a chitectu al, ot just ope atio al. The same t a slatio a d t a sc iptio tech ology the Compa y u s i the cloud ca ow be t ai ed o a clie t’s ow data a d ope ated e ti ely withi a clie t’s ow e vi o me t – a p ivate data ce te , a fully ai -gapped se ve with o i te et co ectio , o a desktop o edge device.
Leade ship Comme ta y
“Ou clie ts a d thei clie ts have bee aski g us to b i g ou tech stack a d CX i side thei ow walls,” said Saul Leal, Fou de a d CEO of O eMeta. “That’s a substa tially diffe e t p oblem. Neve theless, we ow deploy i the cloud o o -p emises. Allowi g the model itself to be t ai ed o a clie t’s ow data a d ope ated e ti ely withi a e vi o me t they co t ol, f om e d to e d. The ma ket data backs up what we’ e al eady hea i g di ectly f om clie ts: e te p ises a e p io itizi g to have full co t ol ove thei ow data, as they move towa ds eal time AI deployme ts. A d, we built O eMeta to ca y those objectives as a tu key ve tical solutio .”
“Clie ts a e i c easi gly aski g: do we have the optio to u the Ve bum platfo m e ti ely i side ou ow walls,” said Tim Fishe , Se io Vice P eside t of Sales at O eMeta.” Doi g so it’s becomi g a st ategic diffe e tiato . Now ou clie ts do ‘t have to sac ifice accu acy a d speed fo co t ol – a d that shift, with a p omisi g ROI t ajecto y, is ope i g doo s fo O eMeta that simply did ‘t exist a yea ago.”
Ve bumSDK O -P em / Edge is available ow to e te p ise a d gove me t clie ts.
O eMeta is the eal-time u de sta di g compa y™. Its Ve bum tech ologies delive secu e, eal-time t a slatio , t a sc iptio , a d i te p etatio ac oss 140+ la guages. O eMeta’s missio is to c eate a mo e u de sta di g wo ld.
This p ess elease co tai s fo wa d-looki g stateme ts withi the mea i g of applicable secu ities laws, i cludi g stateme ts ega di g p oduct availability, clie t dema d, thi d-pa ty ma ket p ojectio s, a d a ticipated busi ess impact. These stateme ts a e based o cu e t expectatio s a d assumptio s, i cludi g thi d-pa ty esea ch the Compa y believes to be eliable but has ot i depe de tly ve ified, a d a e subject to isks a d u ce tai ties that could cause actual esults to diffe mate ially, i cludi g but ot limited to ma ket adoptio , competitive developme ts, the Compa y’s ability to execute its p oduct oadmap, a d ge e al eco omic a d i dust y co ditio s. Fo wa d-looki g stateme ts speak o ly as of the date made, a d the Compa y u de takes o obligatio to update o evise them except as equi ed by law. I vesto s a e cautio ed ot to place u due elia ce o these stateme ts a d should eview the isk facto s desc ibed i the Compa y’s fili gs with the SEC, i cludi g its most ece t A ual Repo t o Fo m 10-K a d subseque t fili gs.
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O eMeta I c.: We c eate a mo e u de sta di g wo ld™.
O eMeta, Ve bum, Ve bumSuite, Ve bumSDK, a d “We c eate a mo e u de sta di g wo ld” a e each t adema ks of O eMeta I c. All othe t adema ks, if a y, a e the p ope ty of thei espective ow e s.




 