Application Refactoring · Real-time Analytics · Supply Chain Optimization
A private endpoint within Virtual Private Cloud (VPC) that connects the company's cloud environment securely and with low latency to its primary MongoDB Atlas database, and To power intensive AI processing for its retail video analysis platform, Tictag.io needed access to a GPU that balanced cost and performance to the organization's needs.
Reported impact
Provides deep insights and recommendations derived from retail analytics to customers through a chatbot enabled by Gemini 2.5 Flash; Combines cost-effectiveness with speed to manage intensive AI workloads with NVIDIA N4 GPUs available through Google Cloud; Achieves 99.99% availability with Google Kubernetes Engine (GKE); to ensure continuous service delivery.
Onboarding to the new cloud infrastructure proved seamless, with the organization utilizing frictionless workflows to deliver best-practice security and networking architectures. With uptime on Google Cloud at 99.99%, ensuring continuous service delivery, Tictag.io can focus on innovation, product, and expansion. "Building on Google Cloud is fast and smooth, and its straightforward interface enables our engineers to deliver new features faster," concludes Lo. Tictag.io is now looking at using Vertex AI to train AI models monthly on new datasets as the organization moves into a fully operational phase. By running its platform in , the organization is using a scalable, robust architecture that handles video processing workloads from ingestion to analysis. orchestrates Tictag.io's containerized applications using specialized node pools, including a pool equipped with NVIDIA L4 Cloud GPUs to manage intensive AI processing workloads and ensure fast model inference.
stored or unified in Cloud Storage, processed with Cloud GPUs, Vertex AI, orchestrated via Google Kubernetes Engine (GKE), and surfaced through Gemini 2.5 Flash, Gemini, Cloud CDN
Achieves 99.99% availability with Google Kubernetes Engine (GKE)
Achieves 99.99% availability with Google Kubernetes Engine (GKE) to ensure continuous service delivery
Combines cost-effectiveness with speed to manage intensive AI workloads with NVIDIA N4 GPUs available through Google Cloud
Provides deep insights and recommendations derived from retail analytics to customers through a chatbot enabled by Gemini 2.5 Flash
to ensure continuous service delivery
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
The public management page says, 'Tictag employs 40 employees.'
Related
Google Cloud Sample Archived · Aug 29, 2026 WeSpeak Building that product required infrastructure that would never go down. Early on, WeSpeak ran on a virtual private server that could fail without warning, taking the entire platform offline. For a hotel waiting on a… 70% of hotel guest inquiries automated end to end Cloud Run · Gemini · Gemini Flash Google Cloud Sample Archived · Jun 11, 2026 InMobi InMobi needed to migrate a latency-sensitive advertising platform from another hyperscaler, preserve zero-downtime service at massive QPS, and create a more efficient real-time serving and analytics environment for both… 7 million peak qps Bigtable · Cloud Composer · Cloud SQL Google Cloud Sample Archived · Mar 4, 2026 ChatAndBuild Enabling 140,000+ users to turn natural language into working apps with sub-second latency. But this vision was hindered by the company’s previous infrastructure. Builders faced 30–70% higher latency, disrupting the… Accelerates feature delivery 2x with unified DevOps tools including Cloud Build BigQuery · Cloud Build · Cloud CDN 