tupicInsights
About

Tupic Insights

AI-powered asset intelligence for analysis, moderation, discovery, and blockchain-backed provenance tracking across images, video, audio, and text.

What It Is

Tupic Insights provides a REST API and dashboard for automated asset analysis. Teams can create assets, upload content, and receive structured AI outputs such as classification, detection, transcription, fingerprinting, similarity results, and registration status.

The platform is designed for VOD, OTT, UGC, rights management, compliance workflows, and media operations that need fast machine-readable results without building the full pipeline in-house.

Platform Capabilities

NSFW and Content Classification

Automated RGA ratings with nudity scoring to support moderation and publishing workflows.

Object Detection and Scene Parsing

Visual analysis with object extraction, scene awareness, and hashtag generation from uploaded assets.

Transcription and Subtitle Output

Audio and video transcription pipelines with subtitle generation and optional translation flows.

Fingerprinting and Similarity

SHA-256 fingerprints plus vector-based similarity search to detect reuse, duplication, and recommendations.

Blockchain Verification

Eligible media can be anchored to TupicChain for timestamped provenance and ownership signals.

Infrastructure

Backend
Flask + Celery

Python services, workers, and queues.

AI Models
YOLO + TensorFlow

Object detection and classification workloads.

Storage Layer
PostgreSQL + Redis

Persistent records, caching, and derived metadata.

Trust Layer
TupicChain

Timestamped provenance and registration state.

Part of the Tupic Ecosystem

Tupic Insights is part of a broader product ecosystem connected through shared identity and operational data.

TupicChain
Trust Layer

Permissioned blockchain for provenance and registration.

TupicFinance
Economic Layer

Cost management, billing context, and operational controls.

Technology Stack

PythonFlaskCeleryPostgreSQLRedisDockerYOLOTensorFlowKeyBERTVueTailwindVite