HONG KONG, July 22, 2026 (GLOBE NEWSWIRE) — 3 E Netwo k Tech ology G oup Limited (Nasdaq: MASK) (the “Compa y” o “3 E Netwo k”), a busi ess-to-busi ess (“B2B”) i fo matio tech ology (“IT”) busi ess solutio s p ovide , committed to becomi g a ext-ge e atio a tificial i tellige ce (“AI”) i f ast uctu e solutio s p ovide , today a ou ced that it is developi g a e te p ise-g ade AI softwa e-as-a-se vice (“SaaS”) platfo m desig ed fo sma t compa io a d elde ca e obots. Followi g its ece t a ou ceme t that it had fi alized the a chitectu e of its custom edge AI system-o -chip (“SoC”), this i itiative is i te ded to st e gthe 3 E Netwo k’s positio as a full-stack embodied AI i f ast uctu e p ovide built a ou d “Edge-Cloud Sy e gy” a d expa d the Compa y’s p ese ce i AI cloud se vices with pote tial ecu i g eve ue st eams.
As embodied AI ha dwa e co ti ues to matu e, the Compa y believes that edge ha dwa e establishes the fou datio fo a obot’s physical i te actio , while the cloud-based softwa e a d ope atio al capabilities help dete mi e its cog itive capabilities a d comme cial scalability. The SaaS platfo m u de developme t by 3 E Netwo k is i te ded to p ovide a obust “cloud b ai ” a d comp ehe sive system-level suppo t fo a a ge of i tellige t compa io devices.
This e te p ise-g ade SaaS platfo m aims to p ovide comp ehe sive ope atio al suppo t fo healthca e i stitutio s, elde ca e facilities, a d se vice obot ma ufactu e s. Its th ee co e busi ess modules i clude:
Ge e ative AI Compa io Age t a d Multimodal Affective E gi e: By i teg ati g multimodal i te active f amewo ks developed by leadi g AI p ovide s, this module moves beyo d t aditio al sc ipted i te actio s, e abli g compa io obots to fu ctio as p oactive AI age ts. Th ough lo g-te m multimodal affective computi g a d co textual modeli g, the system a alyzes emotio al cues i se io s’ eal-time i te actio s. It ge e ates co text-awa e espo ses desig ed to demo st ate empathy, imp ovi g the atu al ess of huma – obot i te actio s a d the quality of compa io ship.P edictive AI Mo ito i g a d Low-Late cy Risk Escalatio : Be chma ki g agai st the st ict, high- eliability data sta da ds established i p ofessio al healthca e, the platfo m is desig ed to p ovide a low-late cy, high- eliability data pipeli e f om edge te mi als to backe d systems. The system ot o ly detects ab o mal fluctuatio s i vital sig s i eal time but also utilizes AI time-se ies models to ide tify pote tial safety isks associated with use behavio , such as falls. Whe a p eset th eshold is eached, it i itiates “I tellige t Eve t Routi g,” pushi g st uctu ed ale ts to desig ated lice sed ca egive s, suppo ti g a seamless “mo ito -ale t-i te ve e” closed loop.Digital Twi Fleet Ma ageme t a d Robot Ops Hub: Ta geti g the complex ope atio al equi eme ts of la ge fleets of i tellige t devices, this hub p ovides e te p ise clie ts with a i teg ated digital-twi ma ageme t i te face. Clie ts ca ot o ly mo ito the ope atio al status of massive obotic fleets i eal time but also co duct shadow testi g evaluatio s a d OTA batch deployme ts fo cloud AI st ategies with educed isk, suppo ti g scalable a d efficie t mai te a ce of deployed devices.
To suppo t complex busi ess co cu e cy a d e te p ise-g ade data secu ity, 3 E Netwo k’s softwa e team is developi g the followi g co e tech ological fou datio fo the SaaS platfo m:
Cloud-Native a d Multi-Te a t A chitectu e: The platfo m uses a highly available mic ose vices a chitectu e with st ict te a t-isolatio co t ols. This e su es elastic scalability whe ha dli g co cu e t equests ac oss diffe e t ma kets, while mai tai i g physical a d logical data isolatio betwee i stitutio al clie ts.Edge-Cloud Collabo ative LLM Routi g E gi e: Wo ki g i ta dem with the Compa y’s p op ieta y edge computi g ha dwa e, the platfo m featu es a dy amic model outi g e gi e. It i tellige tly evaluates task complexity: basic i te actio s ca be p ocessed i eal time by qua tized models at the edge, while complex lo g-co text easo i g a d p ofessio al ca egivi g Q&A a e dy amically outed to cloud-based models fo mo e adva ced p ocessi g, co ti uously optimizi g compute cost, late cy, a d output quality.Ret ieval-Augme ted Ge e atio (“RAG”) K owledge E ha ceme t a d Vecto Memo y Sa dbox: The system deeply i teg ates RAG tech ology, suppo ti g the flexible i teg atio of p ofessio al u si g k owledge bases to educe the isk of i accu ate o fab icated AI outputs. I additio , the system establishes a isolated cloud-based “Vecto Sa dbox” fo each te mi al, desig ed to secu ely sto e use s’ p efe e ces a d histo ical i te actio data to suppo t a mo e pe so alized compa io expe ie ce.Medical-G ade E c yptio a d Lifecycle Complia ce: To suppo t complia ce with applicable p ivacy equi eme ts, i cludi g HIPAA whe e applicable, the platfo m establishes bi-di ectio al e c ypted t a smissio p otocols with fo wa d sec ecy. Co e i te actio data is desig ed to u de go edge-side de-ide tificatio p ocedu es befo e bei g uploaded, suppo ti g complia ce th oughout the cloud data-p ocessi g lifecycle.
D . Ti gju Ya g, Chief Executive Office of 3 E Netwo k, comme ted: “While ou p eviously a ou ced edge AI SoC p ovides a powe ful ‘edge-based pe ceptio fou datio ,’ the AI SaaS platfo m compleme ts it with a cloud platfo m capable of suppo ti g mo e adva ced cog itive fu ctio s. The sy e gy of these two eleme ts is i te ded to c eate a comp ehe sive tech ology platfo m built a ou d Edge-Cloud Sy e gy.”
“F om a lo g-te m comme cial pe spective, the a chitectu e of this SaaS platfo m holds st ategic sig ifica ce fo the Compa y. It e ables the Compa y to empowe a b oade a ge of global se vice obot ha dwa e ma ufactu e s. Mo e impo ta tly, it suppo ts the evolutio of 3 E Netwo k’s busi ess model f om t aditio al ‘o e-time ha dwa e delive y’ to a dual-e gi e model combi i g a ‘ha dwa e compute fou datio with ecu i g cloud-based SaaS subsc iptio s.’ We believe this model ca e ha ce the esilie ce of ou eve ue base a d c eate lo g-te m g owth oppo tu ities fo the Compa y withi the global silve eco omy.”
Cu e tly, the co e mic ose vices a chitectu e a d edge-cloud collabo ative data pipeli es of this e te p ise-g ade AI SaaS platfo m have bee fi alized. The Compa y’s R&D team is actively adva ci g the sce a io-specific fi e-tu i g of multimodal affective la ge models a d i teg ati g the platfo m with eleva t busi ess wo kflows. Co cu e tly, to add ess data-secu ity a d busi ess-co ti uity equi eme ts, the platfo m is u de goi g e te p ise-g ade testi g of its multi-te a t isolatio co t ols a d e d-to-e d system availability. These e gi ee i g a d testi g effo ts a e i te ded to st e gthe the platfo m’s e te p ise-g ade a chitectu e, suppo ti g the Compa y’s futu e global comme cial ollout a d pote tial SaaS eve ue ge e atio .
