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Home Artificial Intelligence

ZYT Takes Prax Drive System™ Overseas: Commercial Vehicle Business Goes Global, China’s Top Six Heavy Truck Brands in Production

November 3, 2026
in Artificial Intelligence, GlobeNewswire, Web3
Reading Time: 10 mins read
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ZHUHAI, Chi a, Nov. 02, 2026 (GLOBE NEWSWIRE) — The New Jou ey ZYT (ZHUOYU Tech ology) P ax Comme cial Vehicle Tech ology Lau ch was held i Zhuhai, whe e ZYT officially i t oduced its comme cial vehicle tech ology b a d, ZYT P ax D ive System™, a d set out its pa t e ships a d p oductio p og ess with leadi g Chi ese comme cial vehicle make s, alo g with its p oduct a d ma ket pla s ove seas.

1

P ax comes i two ve sio s. PDS 4 u s o the High-Pe ceptio model 4.0 a d above a d se ves heavy t uck li e-haul. PDS 5 adds city NOA to highway NOA a d u s o the Multimodal Fou datio Model, se vi g buses, light t ucks, va s a d othe u ba ope atio s.

01 Fi st stop ac oss ve ticals: comme cial vehicles

ZYT p oposed the Mobile I tellige ce Fou datio co cept i late 2025. I Ap il 2026 it set out the I tellige ce fo All Mobility st ategy.

Comme cial vehicles we e the fi st move ac oss ve ticals, fo easo s that spa use s, ma ket a d society.

Chi a had mo e tha 30 millio t uck d ive s i 2025, ca yi g ea ly th ee qua te s of atio al oad f eight. Steady domestic eplaceme t dema d a d g owi g comme cial vehicle expo ts togethe ope ed oom fo a upg ade i d ivi g assista ce.

02 P oductio p og ess a d ove seas footp i t

ZYT wo ks with leadi g Chi ese comme cial vehicle b a ds: XCMG, Shacma , Si ot uk, FAW Jiefa g, Foto Moto , Do gfe g Comme cial Vehicle a d Yuto g Bus. Seve al pa t e models a e i p oductio o p epa i g fo it.

The Shacma Delo g X5000 is i p oductio a d u i g exp ess pa cel li e-haul. Models with XCMG, FAW Jiefa g, Do gfe g Comme cial Vehicle a d Foto Moto a e omi ated, with delive y o oll-off due th oughout the yea .

Si ot uk: the two compa ies have a full-domai pa t e ship spa i g Chi a a d ove seas, with seve al models omi ated. The fi st p emium heavy t uck to ca y PDS 4 goes i to p oductio withi the yea .

Foto Moto : the two compa ies have sig ed a full-domai i tellige t d ivi g ag eeme t to develop solutio s fo heavy t ucks, light t ucks a d auto omous logistics vehicles, a d to pu sue tech ology a d p oduct oppo tu ities i the Middle East, South Ame ica a d Aust alia-New Zeala d.

Beyo d heavy t ucks, P ax exte ds to buses, light t ucks a d va s. ZYT wo ks closely with Yuto g Bus a d, joi tly with Guoqi Zhiko g, is expa di g ac oss fu the bus models. The Yuwei E9 PRO o PDS 5 ca ies both highway a d city NOA, a d the light t uck a d va platfo m developed with Foto suppo ts city NOA.

Ove seas, ZYT has pa t e ships with Si ot uk, Foto Moto a d Yuto g Bus, cove i g heavy t ucks, buses, light t ucks a d va s, as the i dust y takes comme cial vehicle i tellige ce to global ma kets.

Ac oss comme cial vehicles, ZYT ow holds a fi st-move positio o fou f o ts: full cove age of p oduct types, full adaptatio to powe t ai s, pa t e ships with the leadi g b a d i eve y segme t, a d a p ese ce i both Chi a a d ove seas ma kets.

03 Five co e tech ologies

Five p oblems defi e the heavy t uck case: sca ce model data, high pe ceptio dema ds, low tole a ce fo e o , difficult vehicle co t ol a d acute cost se sitivity.

ZYT’s a swe was to u ify the base laye , st e gthe the sce a io laye a d adapt the e gi ee i g. It eused the passe ge ca fou datio model athe tha ebuild f om ze o, added data specific to heavy t ucks, a d adapted se so co figu atio a d powe t ai tu i g fo comme cial vehicles.

O the model, P ax is the fi st to ca y a mass-p oduced e d-to-e d model fo comme cial heavy t ucks. It i he its mo e tha 3 billio kilomet es of passe ge ca data a d has lea ed f om 400 millio f ames of t uck-specific data.

O pe ceptio , P ax debuts JIMU® 2.0, ZYT’s i -cabi LiDAR a d visio system, with 500 met es of detectio a ge. It picks out small, i egula a d low- eflectio obstacles, a d sits out of wi d, sa d, ai a d s ow.

O safety, the laye ed safety system ale ts befo e a haza d develops, i te ve es whe the d ive does ot, a d backs both with edu da cy.

O co t ol, visio eads t aile attitude a d a ticulatio a gle i eal time a d, with live load se si g, p edicts collisio isk. G adie t cha ges a e ead ahead so b aki g fo ce ca be dist ibuted ea ly.

O e e gy, P ax i t oduces the i dust y’s fi st ei fo ceme t-lea i g fuel-savi g algo ithm. T ai ed ac oss billio s of sce a ios, it ma ages gea i g a d the diffe e t b aki g systems to fi d the golde lift-off a d th ottle poi ts. Measu ed savi gs a e 4.5% to 7.5%, o RMB 20,000 to 30,000 pe vehicle a yea . O e system pays fo itself withi a yea .

Five co e tech ologies, the e d-to-e d model, JIMU® 2.0, the fuel algo ithm, the safety system a d dy amics tu i g, come togethe to delive safety, ease a d cost.

04 Ac oss ve ticals, sce a ios a d egio s

Comme cial heavy t ucks a e ZYT’s fi st move ac oss ve ticals, but ot the last.

I L4 auto omous logistics, Robova u its built with SAIC Maxus a d Yise Powe a e i t ial ope atio , a d wo k with fu the pa t e s is u de way.

The Multimodal Fou datio Model al eady cove s passe ge ca s, comme cial heavy t ucks, buses a d ove seas models, ac oss multiple fo ms, sce a ios a d egio s, a d will exte d to mo e platfo ms.

05 Visio

F om ClixPilot i passe ge ca s to P ax i comme cial vehicles, o e tech ology b ai has completed the move, eached p oductio a d become a comme cial eality, co fi mi g the I tellige ce fo All Mobility st ategy. ZYT’s goal emai s u cha ged: to p ovide the wo ld with safe a d effo tless mobility.

About ZYT

Fou ded i 2016, ZYT focuses o the esea ch, developme t a d la ge-scale applicatio of mobility i tellige ce tech ologies. Powe ed by its multimodal fou datio model a d ge e ative AI tech ologies, ZYT has built a u ified mobility i tellige ce tech ology fou datio that efficie tly adapts to dive se eal-wo ld sce a ios. ZYT p ovides ope , customizable a d mass-p oduced d ivi g assista ce solutio s (L2 a d above) fo global automotive pa t e s. Beyo d passe ge vehicles, ZYT delive s fou datio al tech ologies fo auto omous mobile obots ac oss va ious applicatio sce a ios, accele ati g the la ge-scale adoptio a d i dust ialisatio of mobility i tellige ce.

Official webiste: https://www.zyt.com/e

Media Co tact

Co tact: Lucas LiuWebsite: https://www.zyt.com/mobile/zhAdd ess: Floo s 16–21, East Towe , Lepu Buildi g, Na sha Dist ict, She zhe , Gua gdo g P ovi ce, Chi aEmail: lucas.liu@zyt.com

A photo accompa yi g this a ou ceme t is available at https://www.globe ewswi e.com/NewsRoom/Attachme tNg/1e9bce1a-ed6e-499c-9e1c-0ffc8b914df1

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