[{"data":1,"prerenderedAt":299},["ShallowReactive",2],{"service:data-ai:en":3,"cases:en":92},{"id":4,"title":5,"approach":6,"body":21,"capabilities":39,"description":34,"extension":56,"icon":20,"meta":57,"metrics":58,"navigation":65,"order":66,"path":67,"relatedCases":68,"relatedServices":70,"seo":73,"slug":76,"stackGroups":77,"stem":87,"summary":88,"tagline":89,"value":90,"__hash__":91},"services_en\u002Fen\u002Fservices\u002Fdata-ai.md","Data & AI",[7,13,17],{"title":8,"description":9,"not notebooks":10,"icon":12},"MLOps","Models in production",[11],null,"gauge",{"title":14,"description":15,"icon":16},"Business impact","We measure effect with metrics.","graph",{"title":18,"description":19,"icon":20},"Streaming","Data in real time.","spark",{"type":22,"value":23,"toc":33},"minimark",[24,29],[25,26,28],"h2",{"id":27},"how-we-do-it","How we do it",[30,31,32],"p",{},"We deploy AI where it creates value: models ship to production, their effect is measured with business metrics, and the data infrastructure is built for real time.",{"title":34,"searchDepth":35,"depth":35,"links":36},"",3,[37],{"id":27,"depth":38,"text":28},2,[40,44,47,50,53],{"title":41,"description":42,"storage":11,"streaming":43},"Data platforms","Ingestion",[11],{"title":45,"description":46},"ML & recommendations","Models that move metrics.",{"title":48,"description":49},"Anti-fraud & risk scoring","Real-time decisions.",{"title":51,"description":52},"LLM & documents","Assistants and data extraction.",{"title":54,"description":55},"Real-time analytics","Data-driven decisions without lag.","md",{},[59,62],{"value":60,"label":61},"−30%","fraud losses",{"value":63,"label":64},"real-time","inference",true,5,"\u002Fen\u002Fservices\u002Fdata-ai",[69],"insurance-claims",[71,72],"backend","cloud-devops",{"title":74,"description":75},"Data & AI — HomeITTech","Production-grade AI — recommendations, anti-fraud, document processing, real-time analytics.","data-ai",[78,83],{"group":79,"items":80},"Focus",[81,82],"Machine learning","Data science",{"group":84,"items":85},"Stack",[86],"Python","en\u002Fservices\u002Fdata-ai","Data and AI in real products — recommendations, anti-fraud, document processing, analytics.","Production-grade intelligence.","AI that creates measurable value in production, not in demos.","gAwhcGp5MahqT1bQOodIp8dfhbZ-S4xTbQBnn-mcK8o",[93,206],{"id":94,"title":95,"architecture":96,"body":127,"challenge":155,"cover":156,"description":34,"extension":56,"featured":65,"glance":158,"headlineMetric":171,"impact":173,"industry":184,"meta":185,"navigation":65,"order":186,"path":187,"quote":188,"related":191,"seo":192,"slug":195,"stack":196,"stem":204,"__hash__":205},"cases_en\u002Fen\u002Fcases\u002Fdigital-bank.md","Digital bank",{"nodes":97,"edges":120},[98,102,106,110,113,117],{"id":99,"label":100,"group":101},"app","Mobile app","client",{"id":103,"label":104,"group":105},"gw","API Gateway","edge",{"id":107,"label":108,"group":109},"payments","Payment service","core",{"id":111,"label":112,"group":109},"ledger","Ledger",{"id":114,"label":115,"group":116},"bus","Event bus","infra",{"id":118,"label":119,"group":109},"antifraud","Anti-fraud",[121,122,123,125,126],{"from":99,"to":103},{"from":103,"to":107},{"from":107,"to":111,"label":124},"idempotent",{"from":107,"to":114},{"from":114,"to":118,"label":63},{"type":22,"value":128,"toc":150},[129,133,136,140,143,147],[25,130,132],{"id":131},"the-challenge","The challenge",[30,134,135],{},"The team needed to launch a digital bank from scratch and be ready for multiplied user growth without sacrificing payment reliability.",[25,137,139],{"id":138},"the-architecture","The architecture",[30,141,142],{},"We rebuilt the payment path on an event-driven architecture: idempotent operations, an event bus, and real-time anti-fraud. This let us scale processing horizontally and keep latency stable under load.",[25,144,146],{"id":145},"the-impact","The impact",[30,148,149],{},"In 14 months the bank grew to 2.5M users, peak load grew 8× with no degradation, and releases ship with zero downtime.",{"title":34,"searchDepth":35,"depth":35,"links":151},[152,153,154],{"id":131,"depth":38,"text":132},{"id":138,"depth":38,"text":139},{"id":145,"depth":38,"text":146},"Launch a full digital bank and withstand explosive user growth without degrading the payment path and with zero downtime on releases.",{"variant":16,"accent":157},"signal",[159,162,165,168],{"value":160,"label":161},"2.5M","active users",{"value":163,"label":164},"×8","peak load growth",{"value":166,"label":167},"99.99%","uptime",{"value":169,"label":170},"14 mo","to launch",{"value":160,"label":172},"users in 14 months",[174,177,180],{"value":160,"label":175,"note":176},"users","within 14 months of launch",{"value":163,"label":178,"note":179},"peak load","with no latency degradation",{"value":181,"label":182,"note":183},"0","downtime on releases","gradual rollout","banking",{},1,"\u002Fen\u002Fcases\u002Fdigital-bank",{"text":189,"role":190},"The platform handled growth we didn't expect this fast — and never went down.","Director of Digital Products",[69],{"title":193,"description":194},"Digital bank — HomeITTech case","2.5M users in 14 months, 8× peak load growth with no degradation, zero downtime on releases.","digital-bank",[197,198,199,200,201,202,203],"Swift","Kotlin","Kotlin Multiplatform","Go","Kafka","PostgreSQL","Kubernetes","en\u002Fcases\u002Fdigital-bank","mkkg6jlRa4sJnntnMg9lxmHeN7EllyfH4bm7klW2O60",{"id":207,"title":208,"architecture":209,"body":234,"challenge":256,"cover":257,"description":34,"extension":56,"featured":65,"glance":260,"headlineMetric":273,"impact":274,"industry":283,"meta":284,"navigation":65,"order":38,"path":285,"quote":286,"related":289,"seo":290,"slug":69,"stack":293,"stem":297,"__hash__":298},"cases_en\u002Fen\u002Fcases\u002Finsurance-claims.md","Claims platform",{"nodes":210,"edges":227},[211,214,217,221,224],{"id":212,"label":213,"group":101},"portal","Claims portal",{"id":215,"label":216,"group":109},"intake","Intake & validation",{"id":218,"label":219,"group":220},"ocr","AI document processing","ai",{"id":222,"label":223,"group":109},"rules","Rules engine",{"id":225,"label":226,"group":109},"payout","Payouts",[228,229,231,232],{"from":212,"to":215},{"from":215,"to":218,"label":230},"documents",{"from":218,"to":222},{"from":222,"to":225,"label":233},"auto-decision",{"type":22,"value":235,"toc":251},[236,238,241,243,246,248],[25,237,132],{"id":131},[30,239,240],{},"Claims were slowed by manual document handling and fragmented checks. The process had to be faster while keeping accuracy.",[25,242,139],{"id":138},[30,244,245],{},"We built an end-to-end digital flow: AI extracts data from documents, the rules engine runs checks and makes automatic decisions, and complex cases go to a human.",[25,247,146],{"id":145},[30,249,250],{},"Processing time dropped by 40%, 70% of documents are handled without manual entry, and the platform sustains over a million claims a year.",{"title":34,"searchDepth":35,"depth":35,"links":252},[253,254,255],{"id":131,"depth":38,"text":132},{"id":138,"depth":38,"text":139},{"id":145,"depth":38,"text":146},"Cut the claim processing time and remove manual data entry from documents without losing check accuracy.",{"variant":258,"accent":259},"flow","violet",[261,264,267,270],{"value":262,"label":263},"−40%","claim processing time",{"value":265,"label":266},"70%","of documents processed automatically",{"value":268,"label":269},"24\u002F7","digital process",{"value":271,"label":272},"1M+","claims per year",{"value":262,"label":263},[275,278,281],{"value":262,"label":276,"note":277},"processing time","from claim to decision",{"value":265,"label":279,"note":280},"automation","of documents without manual entry",{"value":271,"label":272,"note":282},"on one platform","insurance",{},"\u002Fen\u002Fcases\u002Finsurance-claims",{"text":287,"role":288},"Claims speed became our competitive advantage.","Head of Digital Transformation",[195],{"title":291,"description":292},"Claims platform — HomeITTech case","−40% claim processing time, 70% of documents automated, 24\u002F7 digital claims.",[294,295,86,296,202,203],"TypeScript","Vue","ML pipeline","en\u002Fcases\u002Finsurance-claims","0uIfKi8_JzmtkL1hiAw6uN2oqMReP2Mc7p8pdZoiyUM",1793366507061]