Pla ed i teg atio of automated LiDAR poi t cloud classificatio a d featu e ext actio ac oss Ze aTech’s D o e as a Se vice locatio s is desig ed to cut su vey post-p ocessi g time a d suppo t scalable, ecu i g eve ue
VANCOUVER, B itish Columbia, Oct. 22, 2026 (GLOBE NEWSWIRE) — Ze aTech, I c. (Nasdaq: ZENA) (FSE: 49Q) (BMV: ZENA) (“Ze aTech” o the “Compa y”), a tech ology solutio p ovide specializi g i AI (A tificial I tellige ce) d o e, D o e as a Se vice (DaaS), e te p ise SaaS, a d Qua tum Computi g solutio s, today u veiled its p op ieta y a tificial i tellige ce softwa e suite a d pla ed i teg atio ac oss its DaaS la d su vey ope atio s. By pai i g Ze aD o e high-de sity LiDAR (Light Detectio a d Ra gi g) data acquisitio with the automated featu e ext actio a d poi t cloud classificatio , Ze aTech pla s to accele ate su vey-g ade data delive y time f om days to as little as mi utes ac oss comme cial la d su veyi g, mu icipal a d i f ast uctu e p ojects fo DaaS clie ts ac oss No th Ame ica a d a ou d the wo ld. The combi ed platfo m is cu e tly i the developme t a d testi g stage.
“La d su vey delive y has t aditio ally bee limited by ma ual post-p ocessi g, which caps how ma y p ojects a su vey team ca complete,” said Shau Passley, Ph.D., CEO of Ze aTech. “By i teg ati g ou AI softwa e di ectly i to Ze aD o e DaaS ope atio s, we aim to automate the heavily ma ual wo k of poi t cloud classificatio a d CAD li ewo k ge e atio , so the same c ews a d d o es ca delive tu -key, actio able i tellige ce to clie ts faste a d with co siste t quality. As we apply ou AI suite ac oss ou AI tools g owi g etwo k of DaaS subsidia ies, we believe it ca imp ove ope ati g efficie cy a d suppo t the scalable, ecu i g eve ue model at the ce te of ou DaaS st ategy.”
The combi ed platfo m is desig ed to b idge ha dwa e data collectio with AI-d ive poi t cloud p ocessi g. A Ze aD o e la d su vey d o e equipped with high-de sity LiDAR captu es a site as a poi t cloud, a dataset that ca co tai billio s of i dividual 3D measu eme t poi ts. Ze aAI is the i te ded to u automated geospatial wo kflows o that data, classifyi g each poi t by what it ep ese ts, co ve ti g the classified data i to te ai models a d vecto d awi gs, emovi g oise, taggi g i f ast uctu e assets a d expo ti g the esults i fo mats that su vey a d e gi ee i g teams ca use di ectly. Its key pla ed capabilities i clude:
Automated Poi t Cloud Classificatio : Desig ed to use deep lea i g eu al etwo ks to apidly pa se billio s of 3D LiDAR poi ts, sepa ati g g ou d etu s f om de se ca opy, buildi gs, utility li es a d su face vegetatio to ge e ate t ue Digital Te ai Models (DTM)Automated Featu e Ext actio a d Li ewo k: Compute visio algo ithms a e i te ded to detect a d vecto ize c itical pla imet ic featu es, i cludi g cu b li es, paveme t edges, etai i g walls a d st uctu es, a d expo t them di ectly i to CAD a d BIM (Buildi g I fo matio Modeli g) fo matsRapid DaaS Tu a ou d: By eplaci g ma ual poi t-picki g a d heu istic sc ipti g, the AI softwa e suite is bei g desig ed to educe post-p ocessi g wo kflows by as much as 80% a d sho te su vey tu a ou d time, allowi g DaaS su vey teams to delive fully classified datasets withi hou s of flight completioSma t Noise Filte i g a d Asset Taggi g: Automated a tifact supp essio is i te ded to clea ai bo e oise, multipath e o s a d sca ove lap, while sema tic taggi g logs disc ete i f ast uctu e assets, such as ma holes, hyd a ts a d utility poles, with millimete -level p ecisio
Poi t cloud classificatio a d li ewo k have t aditio ally equi ed skilled tech icia s to wo k th ough by ha d, which ca take days a d limits how ma y p ojects a su vey team ca complete. Ze aTech believes that automati g these steps could aise su veyi g p oductivity, allowi g the same d o es a d c ews to delive mo e p ojects faste a d pote tially imp ovi g ma gi s ove time. As p op ieta y softwa e, the AI suite is also i te ded to add a scalable SaaS laye to the Compa y’s acquisitio -led DaaS st ategy, applyi g a co siste t p ocessi g wo kflow ac oss the su veyi g busi esses it acqui es a d suppo ti g its ecu i g eve ue model fo comme cial, mu icipal a d i f ast uctu e clie ts that ely o timely data fo pla i g, desig a d co st uctio .
The AI-powe ed LiDAR p ocessi g is cu e tly i developme t with testi g ac oss DaaS la d su veyi g, i f ast uctu e mo ito i g a d utility i spectio p ojects expected ext yea . The Compa y will p ovide updates o lau ch a d ollout as milesto es a e achieved.
Ze aTech’s D o e as a Se vice (DaaS) divisio p ovides o -dema d tu key d o e piloti g, data captu e, a d data p ocessi g se vices to comme cial, gove me t, a d i f ast uctu e custome s, allowi g them to access ae ial data a d automatio without ow i g o ope ati g thei ow d o e fleets. The divisio is bei g built th ough a acquisitio -led st ategy that combi es local low-tech se vice p ovide s i to a global etwo k, c eati g a scalable platfo m fo delive i g ecu i g eve ue ae ial a d data se vices such as su veyi g, i spectio s, powe washi g a d co st uctio p og ess mo ito i g.
Ze aTech, I c. (Nasdaq: ZENA) (FSE: 49Q) (BMV: ZENA) is a tech ology compa y that specializes i AI auto omy d o e platfo ms to t a sfo m comme cial, gove me t, a d defe se secto s. Its subsidia ies i clude d o e ma ufactu i g th ough Ze aD o e, a global D o e as a Se vice (DaaS) busi ess, a d a e te p ise SaaS divisio of softwa e b a ds. The Compa y is executi g a acquisitio -led DaaS oll-up st ategy to digitize a d automate legacy se vice i dust ies like la d su veys a d i spectio s, d ivi g d o e-based scalable, ecu i g eve ue g owth. With a ope ati g footp i t spa i g No th Ame ica, Eu ope, the Middle East, Asia, a d Aust alia, Ze aTech is adva ci g AI d o es fo applicatio s such as ag icultu e a d logistics, as well as ISR, ca go, a d cou te -UAS fo U.S. defe se a d NATO allies. The compa y is i vesti g i ext-ge e atio tech ologies, i cludi g d o e swa ms, qua tum computi g, a d adva ced AI auto omy to captu e lo g-te m oppo tu ities i key ma kets th ough its R&D i itiatives.
Ze aD o e, a subsidia y of Ze aTech, develops a d ma ufactu es AI-powe ed multifu ctio auto omous d o e solutio s i teg ati g machi e lea i g, p edictive a alytics, a d adva ced computi g tech ologies, fo gove me t, defe se, a d i dust ial applicatio s. This i cludes multifu ctio al d o es fo su veyi g, i spectio s, logistics, secu ity, a d defe se applicatio s. Its p oduct po tfolio u de developme t i cludes the Ze aD o e 1000 fo ISR defe se a d specialized ca go, the IQ Na o fo i doo i ve to y ma ageme t a d secu ity, the IQ Squa e fo outdoo i spectio s a d mai te a ce, the IQ Quad fo la d su veyi g, the IQ Aqua, fo u de wate applicatio s, a d the IQ Octo fo p ecisio ag icultu e. Ze aD o e ope ates th ee global ma ufactu i g facilities i A izo a, Dubai, a d Taiwa , a d is adva ci g cou te -UAS ma itime i te cepto d o es a d a i teg ated defe se system.
This p ess elease a d elated comme ts by ma ageme t of Ze aTech, I c. i clude “fo wa d-looki g stateme ts” withi the mea i g of U.S. fede al secu ities laws a d applicable Ca adia secu ities laws. These fo wa d-looki g stateme ts a e subject to the safe ha bo p ovisio s u de the P ivate Secu ities Litigatio Refo m Act of 1995. This fo wa d-looki g i fo matio elates to futu e eve ts o futu e pe fo ma ce of Ze aTech a d eflects ma ageme t’s expectatio s a d p ojectio s ega di g Ze aTech’s g owth, esults of ope atio s, pe fo ma ce, a d busi ess p ospects a d oppo tu ities, i cludi g stateme ts about the developme t, featu es, availability, p ici g, comme cializatio a d ma ket adoptio of Ze aAI. Such fo wa d-looki g stateme ts eflect ma ageme t’s cu e t beliefs a d a e based o i fo matio cu e tly available to ma ageme t. I some cases, fo wa d-looki g i fo matio ca be ide tified by te mi ology such as “may”, “will”, “should”, “expect”, “pla “, “a ticipate”, “aim”, “seek”, “is/a e likely to”, “believe”, “estimate”, “p edict”, “pote tial”, “co ti ue” o the egative of these te ms o othe compa able te mi ology i te ded to ide tify fo wa d-looki g stateme ts. Fo wa d-looki g i fo matio i this docume t i cludes, but is ot limited to Ze aTech’s expectatio s ega di g its eve ue, expe ses, p oductio , ope atio s, costs, cash flows, a d futu e g owth; Ze aTech’s ability to delive p oducts to the ma ket as cu e tly co templated, i cludi g softwa e platfo ms such as Ze aAI; Ze aTech’s a ticipated cash eeds a d its eeds fo additio al fi a ci g; Ze aTech’s i te tio to g ow the busi ess a d its ope atio s a d executio isk; the volatility of stock p ices a d ma ket co ditio s i the i dust ies i which Ze aTech ope ates; isks elated to the developme t, testi g, accu acy a d pe fo ma ce of a tificial i tellige ce a d machi e lea i g models; egulato y isks, i cludi g egulatio s gove i g d o e ope atio s; p oduct developme t, validatio a d data quality a d accu acy isks; custome adoptio a d ecu i g eve ue oppo tu ities; the competitive co ditio s of the i dust y; the ability to complete a y co templated acquisitio s; ma ket u ce tai ty; a d applicable laws, egulatio s, a d a y ame dme ts affecti g the busi ess of Ze aTech. Reade s should ot place u due elia ce o fo wa d-looki g stateme ts, which speak o ly as of the date of this elease, a d Ze aTech u de takes o obligatio to update them except as equi ed by law.
