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Home Press Release Accesswire

Visionaize Demonstrates Million-Dollar Operational Benefits from AI-Powered Digital Twins in Cement Manufacturing

October 21, 2026
in Accesswire, Artificial Intelligence
Reading Time: 10 mins read
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AI-d ive mill a d kil optimizatio , p edictive mai te a ce a d sustai ability solutio s help ceme t p oduce s educe dow time, lowe e e gy co sumptio , exte d equipme t life a d cut CO₂ emissio s

SAN JOSE, CA / ACCESS Newswi e / Octobe 21, 2026 / Visio aize I c., a p ovide of I dust ial AI, Ge e ative AI a d Digital Twi solutio s fo asset-i te sive i dust ies, today highlighted measu able ope atio al esults f om its AI-powe ed Digital Twi solutio s fo ceme t ma ufactu i g, demo st ati g how a tificial i tellige ce ca help ceme t p oduce s imp ove p ofitability, eliability a d sustai ability.

I a South Asia ceme t ma ufactu i g applicatio , Visio aize’s AI-d ive kil optimizatio solutio helped educe specific heat co sumptio f om 820 kcal/kg to 740 kcal/kg, cut mill a d kil dow time by 60%, exte d ef acto y life by 50%, educe CO₂ emissio s by app oximately 8,000 to s, a d ge e ate app oximately $1.4 millio i a ual savi gs.

“Ceme t ma ufactu i g is a ideal e vi o me t fo I dust ial AI because ope atio al p ofitability depe ds o thousa ds of i te co ected va iables ac oss the kil , mills, equipme t, e e gy systems a d p oduct quality,” said Suma ta Basu, Head of I ovatio at Visio aize I c. “Ou AI-powe ed Digital Twi b i gs these va iables togethe i co text, allowi g ope ato s a d e gi ee s to u de sta d what is happe i g, p edict what is likely to happe ext, a d dete mi e the best actio befo e pe fo ma ce is impacted.”

Tu i g Ceme t Pla t Data i to P edictive Ope atio al I tellige ce

Ceme t pla ts ge e ate exte sive data ac oss DCS, SCADA, histo ia s, co ditio -mo ito i g systems, labo ato y systems, mai te a ce applicatio s a d e gi ee i g docume ts. Howeve , much of this i fo matio t aditio ally emai s f agme ted ac oss sepa ate systems.

Visio aize c eates a i tellige t Digital Twi e vi o me t co ecti g ope atio s ac oss the ceme t p oductio lifecycle-f om mi i g a d aw-mate ial p epa atio th ough p eheate s, kil s, coole s, g i di g mills a d dispatch.

By co textualizi g eal-time a d histo ical i fo matio a ou d equipme t a d p ocesses, Visio aize gives ope atio s, p ocess, eliability a d mai te a ce teams a u ified e vi o me t to mo ito pla t pe fo ma ce, ide tify developi g p oblems a d take faste , data-d ive actio .

AI-D ive Mill a d Kil Optimizatio

The ceme t kil ep ese ts o e of the i dust y’s la gest oppo tu ities fo imp ovi g fuel efficie cy, p oductio stability a d emissio s pe fo ma ce.

Fo a South Asia ceme t p oduce , Visio aize i teg ated mo e tha 250 p ocess va iables f om DCS a d SCADA systems i to a AI-based kil optimizatio platfo m. Machi e-lea i g models co ti uously a alyzed p ocess co ditio s a d p ovided ope ato s with eal-time ecomme datio s fo pa amete s such as ai -fuel atios a d fa adjustme ts. The model is focused o set of i put featu es that ep ese t the the mody amic a d flow cha acte istics a d the most eleva t ope atio al dy amics i flue ci g system efficie cy a d pe fo ma ce. The model captu es the ope atio ‘s lo g-te m seaso al a d tempo al patte . The st o g alig me t of the actual i put pa amete s with thei i flue ce o p edicted outputs eaffi ms the high co elatio a d eleva ce of the selected featu es e able live ope atio al setti gs fo co ti uous mo ito i g a d decisio suppo t.

The impleme tatio delive ed:

  • 9.8% eductio i specific heat co sumptio
  • 60% eductio i mill a d kil dow time
  • 50% i c ease i ef acto y life
  • App oximately $1.4 millio i a ual savi gs
  • App oximately 8,000 to s eductio i CO₂ emissio s

The solutio helps pla ts adapt ope ati g ecomme datio s to cha gi g feed cha acte istics, fuel quality a d kil co ditio s i stead of elyi g o ly o static ope ati g ta gets.

P edictive Mai te a ce Reduces U pla ed Dow time

Visio aize also applies AI a d machi e lea i g to c itical ceme t-pla t assets i cludi g ve tical olle mills, fa s a d gea boxes.

I a p edictive-mai te a ce applicatio fo a Lati Ame ica ceme t ma ufactu e , Visio aize a alyzed vib atio , tempe atu e a d elect ical-cu e t i fo matio togethe with histo ical fault eco ds to detect developi g equipme t p oblems befo e failu e.

The impleme tatio achieved:

  • 55% eductio i u pla ed dow time
  • 80% eductio i eme ge cy gea box failu es
  • 45% eductio i ove time labo costs

By co ecti g p edictive i sights with mai te a ce wo kflows, ceme t p oduce s ca t a sitio f om eactive a d cale da -based mai te a ce towa d co ditio -based a d p edictive mai te a ce.

Imp ovi g E e gy Efficie cy a d Sustai ability

Visio aize also applies AI to help ceme t ma ufactu e s educe e e gy co sumptio a d ca bo i te sity.

By combi i g p ocess data with fuel-mix, feed-chemist y a d combustio i fo matio , the platfo m ca help ope ato s u de sta d the elatio ship betwee p oductio , e e gy use, emissio s a d p oduct quality.

I a ESG optimizatio applicatio , a ceme t ma ufactu e achieved a epo ted 9% eductio i CO₂ i te sity a d app oximately $200,000 i a ual emissio s- elated cost savi gs, while movi g f om delayed sustai ability epo ti g towa d eal-time ESG visibility.

This e ables ma ufactu e s to t eat p oductio efficie cy a d sustai ability as co ected ope atio al objectives athe tha sepa ate i itiatives. Visio aize’s app oach exte ds beyo d i dividual AI models by c eati g a co textualized Digital Twi e vi o me t fo the complete ceme t pla t.

“The futu e ceme t pla t will ot simply tell a ope ato what happe ed,” Vikas Ag awal, CEO added. “It will ide tify developi g co ditio s, explai why they a e occu i g, p edict thei ope atio al a d fi a cial impact, a d ecomme d the best cou se of actio . That is the t a sitio f om mo ito i g to i tellige t, i c easi gly auto omous i dust ial ope atio s.”

Real-time ope atio al assista ce available to imp ove pla t efficie cy a d educe outages by utilizi g bette esou ce of data-d ive O&M a d p oactive i te ve tio s with a guidi g tool that ca be adviso y fo the ope ato .

By combi i g pla t-wide co textualizatio with p edictive a alytics, Digital Twi s a d AI-d ive optimizatio , Visio aize aims to help ceme t ma ufactu e s co ve t existi g ope atio al data i to measu able imp oveme ts i EBITDA, eliability a d sustai ability.

About Visio aize

Visio aize I c. p ovides I dust ial AI, Ge e ative AI a d Digital Twi tech ologies fo asset-i te sive i dust ies. Visio aize helps i dust ial compa ies co textualize ope atio al, e gi ee i g a d e te p ise i fo matio a ou d physical assets, e abli g ope atio s, mai te a ce a d e gi ee i g teams to imp ove eliability, p oductivity, safety a d decisio -maki g.

Its solutio s combi e AI-powe ed a alytics, p edictive mai te a ce, eal-time optimizatio , co textualized i dust ial data a d imme sive Digital Twi visualizatio to help o ga izatio s educe dow time, optimize pla t pe fo ma ce a d accele ate sustai ability i itiatives.

Media Co tactVisio aize I c.Subhash SachdevaCFOVisio aize I c.ssachdeva@visio aize.com+1 650 804 4904

SOURCE: VISIONAIZE INC

View the o igi al p ess elease o ACCESS Newswi e

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