Challenges
The customer needed a more effective way to discover and reuse relevant assets across its content library.
Traditional discovery workflows made it difficult to locate content using both semantic meaning and structured metadata.
Users needed search results that combined relevance with metadata-based filtering and consistent scoring.
The customer also needed to process a substantial historical content library while incorporating newly added content.
Large-scale ingestion required controls to detect, categorize, retry, and track processing failures.
The platform needed secure APIs and controlled access to support enterprise users and operational workflows.
NuVista AI's Solution
NuVista AI designed and implemented an AWS-native content discovery platform combining large-scale ingestion, semantic search, metadata filtering, secure APIs, and operational controls. Amazon S3 served as the authoritative content repository, with AWS services supporting ingestion, search, API delivery, security, and monitoring.
Video Search & Content Ingestion
NuVista AI implemented historical backfill and incremental ingestion workflows to process existing and newly added content. These workflows included duplicate-safe processing, retries, reprocessing, and failure tracking.
Processing exceptions were identified and categorized, giving the team visibility into records requiring attention.
The search experience combined semantic matching with structured metadata filtering.
Users could discover content based on meaning and narrow results using available metadata.
Normalized relevance scoring supported consistency across search results.
Enterprise APIs & Deployment
NuVista AI also delivered secure, versioned APIs with authentication, rate limiting, caching, error handling, and monitoring.
Infrastructure-as-code documentation supported deployment and ongoing management of the platform.
The Outcome
The customer received a secure, scalable platform for semantic and metadata-based discovery across its content library.
The solution brought content ingestion, search, controlled access, and operational monitoring into a connected discovery experience.
Historical processing successfully completed approximately 150,000 records in 4.5–5 days, using eight concurrent requests.
Remaining failures were categorized and tracked, supported by retry and reprocessing capabilities.
The engagement established repeatable ingestion workflows, consistent relevance scoring, secure API access, and documented deployment practices. These capabilities addressed the customer’s immediate content discovery needs and provided operational controls for managing a growing digital content library.
Company:
Global Media Publisher
Overview:
A global premium content publisher in the media and entertainment industry, managing a portfolio of media brands and an extensive digital content ecosystem.
Value Provided:
NuVista AI designed and implemented an AWS-native content discovery platform combining large-scale ingestion, semantic search, metadata filtering, secure APIs, and operational controls.
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