ioMoVo is an AI-powered digital asset management platform that unifies content across cloud drives, DAMs, and on-prem storage into a single intelligent layer. The platform uses vision and multimodal AI for semantic search, automated metadata enrichment, and RAG-grounded answers, eliminating manual tagging and cross-system silos. It supports hybrid cloud deployments with BYO-AI architecture, keeping content in its source system while enabling federated search and AI processing.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise teams struggle with digital assets scattered across multiple cloud drives, DAMs, on-prem servers, and legacy systems, forcing them to manually tag, sort, and search for content. Traditional DAM systems are built for storage, not intelligence, and generic AI assistants hallucinate or pull from public data rather than actual enterprise content. Migration projects to consolidate content take 12-24 months, disrupt operations, and often fail due to IP, regulatory, and cost concerns.
Solution
ioMoVo provides an AI-powered digital asset management platform that connects, understands, and activates content across every system, DAM, cloud, and repository an organization uses. The platform's ioHub layer indexes content in place across 100+ source systems without moving files, while ioPilot delivers natural language search with RAG-grounded answers and source references across all connected repositories. ioAI applies vision and multimodal models like CLIP, BLIP, and Segment Anything for semantic image search and creative workflow automation, while ioFlow runs structured approval chains for brand, legal, and compliance review. The platform supports BYO-AI architecture, allowing sovereign deployments where content stays in customer infrastructure and AI processing happens locally via NVIDIA DGX Spark.
Target Audience
Primary customers are enterprise marketing and brand teams, government agencies, and global media organizations that need unified search and AI processing across distributed content environments without forced migration or compromising data governance.
Features
- ioHub connects 100+ source systems including AWS, Azure, Google Cloud, SharePoint, Dropbox, Box, on-prem servers, and NAS with content indexed in place without migration
- ioPilot provides natural language search across all connected systems with RAG-grounded answers, source references, and timecode-level video search
- Vision and multimodal AI using CLIP/BLIP for semantic image search and Segment Anything for image segmentation and background removal
- ioFlow runs creative approval chains with task assignments, status tracking, and full audit trails that sync approved versions back to source systems
- BYO-AI architecture supports commercial LLMs (OpenAI, Anthropic, Google), open-source models (LLaMA, Mistral, Falcon), and sovereign on-prem AI processing
- Federated search with metadata normalization across all connected repositories, preserving existing governance policies and access controls
- Auto-indexing and AI tagging of content as it arrives via ioHub, with cross-asset-type coverage for video, image, audio, and documents
- MCP (Model Context Protocol) support for standards-based AI integration without proprietary connectors