Searce
AI Implementations & Use Cases
Hyperscaler mix
Filter Searce's implementations by Microsoft, AWS, or GCP provider evidence.
How Searce builds AI
Build / Buy / Compose across this partner's documented cases
5 of 7 cases classified (71%) · Compare all use-case types
Reported outcomes
5 cases report measurable results
−25%
Cost savings
median · 2 metrics
+35%
Time & speed
median · 2 metrics
−8%
Customer experience
median · 1 metric
Medians of results published in Searce cases, normalized for comparability. See all benchmarks →
All Use Cases (7)
Verihubs case study: AI authentication and deepfake detection with Gemini, Vertex AI, and GKE
Verihubs is an Indonesia-based SaaS provider of digital verification and identity authentication services.The company migrated to Google Cloud to support growing KYC demand, improve performance and cost efficiency, and prepare future AI-enabled workflows.It also built an in-house deepfake detection capability to help identify AI-generated fraud attempts in images and videos.
GCPmagicpin: Connecting offline retailers with customers through data-rich experiences
magicpin is an online location intelligence platform that allows customers to discover retailers in their vicinity and get discounts at them.Its 300,000 retail merchants use the platform to engage with customers or provide personalized offers, and the company uses Google Cloud to scale the platform, improve analytics, and power machine learning-driven personalization.
GCPDatature — computer vision pipeline platform on Google Cloud (GPUs, Kubernetes)
Datature provides a no-code computer vision platform that runs on Google Cloud and uses Cloud Storage and Google Kubernetes Engine as core infrastructure.The platform supports generic pipelines for data preprocessing, model training, and deployment across domains such as medical, manufacturing, retail, and utilities.
GCPMPB replatforms and scales its used equipment marketplace on GCP
MPB, a UK online marketplace for used photography and videography equipment, migrated its platform to Google Cloud to address scaling limits in its previous bare-metal environment.The company replatformed its monolithic application into a services-oriented architecture on Google Kubernetes Engine and uses BigQuery for business analytics, with Google Cloud Storage also mentioned in the architecture.The move supports MPB's circular business model by helping it process and recirculate used equipment globally while improving deployment speed and platform reliability.
GCPMindvalley Enhances Personal Growth Platform with Vertex AI and Gemini on Google Cloud
Mindvalley sought to scale its platform infrastructure, improve product feature release speed, and enhance AI-driven personalization for its personal growth education programs.It migrated its scattered infrastructure to Google Cloud, specifically using integrated services including BigQuery for analytics, Vertex AI with Gemini 1.5 Pro for machine learning, Cloud Storage, Cloud Composer, Cloud Run functions, and Cloud Monitoring.Mindvalley built AI recommendation engines deploying collaborative and content-based filtering using TensorFlow, Cloud Run, and Vertex AI, increasing click-through rates by 30%.They created a search-and-chat assistant powered by Gemini Pro and LangChain, implemented an AI-driven campaign engine for better email marketing, and built an ML model for churn prediction reducing churn by 8%.Generative AI is also used to improve social media marketing content creation across departments.
ICICI Prudential Life Insurance Enhances Underwriting with Google Cloud Vision AI
ICICI Prudential Life Insurance used Google Cloud Vision AI and the Recognic automated document processing product to speed up underwriting and approvals.The company faced challenges to improve document processing speed and efficiency to better meet customer expectations and handle increased demand.The solution automated document validation using Vision AI OCR and deep learning models handling diverse templates to digitize, read, and validate documents at scale.Results included processing 100,000 documents in 20 minutes, a 30% increase in applications processed in the same timeframe, and reducing document processing time from 10 minutes to 10 seconds.Data privacy was enhanced by automatically removing customer contact details post-processing.This improved customer experience and operational efficiency in the insurance underwriting process.
Ufonia scales AI-powered patient consultation platform with Google Cloud AI and Kubernetes
Ufonia, founded by neurosurgeon Nick de Pennington, addresses the growing strain on healthcare providers by automating routine patient consultations using AI, increasing hospital capacity while improving patient convenience and accessibility.The company migrated from a fragmented and costly cloud infrastructure to a consolidated and scalable Google Cloud environment, including BigQuery, Google Kubernetes Engine, Vertex AI, Chirp for speech-to-text, and Gemini for document understanding, reducing cloud spend by 30% and enabling 24/7 patient consultations.Ufonia's platform supports over 110,000 consultations with a 10x increase in activity post-migration, delivers real-time automated voice clinical consultations, and employs a rigorous AI model validation framework using Vertex AI to ensure safety and reliability in clinical AI applications.