UST GenAI Sandbox
A secure platform for testing, validating, and deploying enterprise Generative AI use cases.
External enrichment · as of 2026-08-29
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A secure platform for testing, validating, and deploying enterprise Generative AI use cases.
PACE FinOps is an enterprise FinOps platform that helps organizations optimize cloud and data-platform spend through continuous cost governance, actionable insights, accountability, and operationalized optimization workflows across AWS and multi-cloud environments.
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UST AI-Powered Content Generation Platform for Retail Marketing on AWS is an enterprise generative AI solution that creates brand-safe videos, images, audio, and copy in minutes instead of weeks. The AWS-native platform combines large language models, visual generative AI, and automation with human-in-the-loop review to deliver on-brand, compliant content at scale. From a single prompt, retail and eCommerce teams generate multi-format assets, localize and personalize for omnichannel journeys across web, mobile apps, email, digital signage, and social, then publish through existing CMS and marketing tools. Role-based workflows, approval gates, and governance guardrails help enforce tone, legal, and responsible AI policies, while embedded analytics link content back to KPIs such as conversion, engagement, and ROAS. UST’s managed service, onboarding, and 24×7 support reduce production costs by up to 60% and accelerate campaign launch cycles from weeks to hours.
UST QE360 is an end-to-end AI-driven cloud-native quality engineering platform.
UST Retail Media Network is a cloud-native, omnichannel retail media and shopper data platform that helps grocery and retail enterprises monetize first-party data across in-store, on-site, and off-site channels. Powered by Footprints AI and deployed in your AWS environment, it unifies POS transactions, loyalty, Wi-Fi and digital touchpoints into privacy-safe shopper profiles to activate high-value audiences. Retailers and CPG brands can run targeted retail media campaigns on digital signage, web, app, email, and paid media with closed-loop sales attribution, real-time reporting, and AI-driven insights. UST provides implementation, integrations, and managed services so teams can launch a scalable, white-label Retail Media Network with minimal IT overhead and a fast path to new, recurring media revenue.
UST Smart Recommendation is an AI recommendation engine for retail that delivers real-time, in-store personalization at the exact moment shoppers decide what to buy. The platform analyzes shopper behavior, basket patterns, store traffic, and signals like time of day, season, and weather to surface dynamic product recommendations on shelves, kiosks, self-checkouts, and cashier lanes. Integrated with digital signage, POS, loyalty, and inventory systems on AWS, UST Smart Recommendation helps retailers increase conversion, grow average basket size, reduce stockouts, and continuously optimize pricing, promotions, and assortments across every store in the network.
UST SmartOps AI Correlation consolidates alert storms into actionable incidents using topology-aware clustering, reducing MTTR for enterprises managing complex AWS and multi-cloud environments.
CapacityIQ uses closed-loop automation and agentic AI to forecast network demand and auto-provision capacity ahead of need, preventing congestion while optimizing infrastructure spend.
DiagnosIQ automates full-stack L1-L7 network diagnostics, reducing mean-time-to-isolate by over 60% and replacing manual troubleshooting with precise fault isolation.
DispatchIQ uses predictive analytics to eliminate unnecessary truck rolls and auto-match technicians to jobs, cutting field costs by ~34% while boosting first-time-fix rates above 88%.
ImpactIQ maps network alarms to customer, service, and revenue impact in real time, enabling operations teams to prioritize incidents by business severity first.
IntentIQ translates business goals into validated network policies using natural-language processing, replacing manual strategy translation with continuous, auditable intent-to-execution alignment.
UST SmartOps Network SelfHeal delivers autonomous, closed-loop detection-to-remediation for network faults, resolving issues in seconds without manual intervention or ticket queues.
OpsChief is an AI operations copilot that transforms raw network KPIs and incident data into board-ready executive narratives - replacing manual briefing prep with on-demand, natural-language summaries
PolicyGuard pre-validates network and IaC changes against compliance rules using OPA/Rego policy engines, catching violations before production deployment.
RemediIQ automates the full incident lifecycle - remediation, verification, and closure - ensuring every fix is confirmed before a ticket is closed, delivered as a managed service on AWS.
ResilienceIQ stress-tests failure scenarios and automates recovery actions so networks consistently hit resilience and recovery-time targets before, during, and after real disruptions.
UST SmartResolution auto-resolves infrastructure incidents end-to-end using multi-agent AI, cutting MTTR and reducing ops toil for teams managing Kubernetes and cloud workloads on AWS.
UST SmartRoute is an AI-powered on-call management service that unifies communication, roster scheduling, and escalation logic to route every alert to the right person automatically.
TrafficIQ optimizes network traffic paths for latency, cost, and resilience - proactively rerouting around congestion before service degrades.
An Intelligent Process Automation Platform that helps re-imagine business processes/operations
UST SmartOps™AIOps provides end-end platform that autonomously handles incidents & service request
UST SmartVision combines AI and Hyperautomation to intelligently extract and digitize data
UST Store Digitization Platform on AWS modernizes brick-and-mortar retail with an edge-to-cloud architecture that connects POS, kiosks, sensors, and IoT devices into a single, observable store infrastructure. Using digital twins, telemetry, and AI, the platform enables centralized monitoring, remote configuration, and predictive maintenance for hundreds or thousands of locations. UST delivers the solution as a managed service on AWS, including design, deployment, integration with existing retail systems, 24x7 monitoring, and incident response. Retailers reduce downtime and truck rolls, standardize store operations, and accelerate rollout of new digital experiences such as self-checkout, click-and-collect, and computer vision-based loss prevention.
UST Virtual Try-On is an AI- and AR-powered virtual fitting room that lets shoppers instantly see fashion, footwear, accessories, and beauty products on themselves across web, mobile, and in-store experiences. This cloud-native virtual try-on platform uses computer vision and 3D rendering to deliver realistic fit, drape, and color, helping shoppers buy with confidence. Fashion brands and retailers use UST Virtual Try-On to increase ecommerce conversion, reduce product returns, and create a seamless omnichannel shopping journey. Prebuilt SDKs and secure APIs accelerate integration with existing ecommerce sites, mobile apps, and smart mirrors, while analytics reveal try-on behavior, product performance, and fit insights. Built on AWS for scale, performance, and security, UST Virtual Try-On helps retail and D2C brands stand out with immersive, personalized shopping experiences.
“Transforming Digital Checkout” -Vision-Voice-Gesture
UST Voice AI Platform for Retail and QSR Digital Ordering on AWS is an enterprise voice assistant that enables natural, touchless ordering at kiosks, digital menu boards, drive-thru, and mobile web. The AWS-native platform combines automatic speech recognition (ASR), natural language understanding (NLU), and real-time HTML5 content rendering to handle complex food and retail orders, customize items, and reduce wait times. Retailers and quick-service restaurants use the solution to automate self-service ordering, increase average check size through intelligent upsell and cross-sell, improve order accuracy, and support multilingual, accessible customer experiences. UST provides end-to-end implementation, integration with POS, loyalty, CRM, and inventory systems, enterprise security and compliance on AWS, plus 24×7 managed support. This listing is ideal for brands looking for a scalable conversational AI and voice ordering platform optimized for AWS infrastructure.
Frictionless Store with AI & ML driven technology on Azure -Replaces long checkout lines
UST Walk-In Walk-Out (WiWo) is a fully autonomous, checkout-free retail solution where shoppers simply enter, pick items, and leave. There’s no scanning, kiosks, or lines. Powered by computer vision, AI, sensor fusion, and edge computing, WiWo tracks every product interaction with SKU-level accuracy and automatically generates receipts. Its AWS cloud–native architecture enables real-time analytics, remote store management, and multi-site scalability across airports, offices, hospitals, and campus environments. With rapid 8–10 week deployments, cash-friendly workflows, and flexible store formats up to 5,000 sq. ft., WiWo delivers frictionless retail automation, reduced operational overhead, and a seamless, modern shopping experience.