
From Intel Labs to Organizational Intelligence: Vishakha Gupta’s Decade-Long Bet on Getting the Data Layer Right.
The most powerful AI systems in the world have a surprisingly mundane problem: they can’t find what they need, when they need it, and fast.
Ask an enterprise AI agent to pull a customer video, cross-reference it with support transcripts, and surface a recommendation, and somewhere in that chain, something breaks. Not because the model isn’t smart enough, but because the data is scattered across systems that were never built to talk to each other, and is often of mixed modalities like tabular, audio, and documents.
Vishakha Gupta has been watching this happen since before most companies had an AI strategy. A decade ago, she was building in-memory graph databases at Intel Labs. As they started looking at various AI/ML use cases, she saw the same dysfunction repeating itself at every scale: teams cobbling together makeshift data stacks, only to watch their pipelines slow to a crawl or collapse entirely.
“AI kept breaking because companies had their data scattered across too many systems. We built a single high‑performance data layer that lets AI actually find, connect, and use what it needs, from search to RAG to full agentic workflows.”
Her answer is ApertureData, and its flagship product, ApertureDB, the first AI-native database built specifically for multimodal data. Text, documents, images, video, audio, embeddings, connected metadata, ApertureDB holds it all in a single high-performance layer that AI can actually navigate. The result: multimodal search & personalization, flavors of RAG pipelines, and agentic memory that work the way teams always assumed they would.
The client list reflects the ambition. Nielsen’s Gracenote, Jabil, Fanatics, and a Fortune 50 big box retailer are already using ApertureDB. And for builders not yet at enterprise scale, Gupta has open-sourced Nexus, a multimodal memory layer for founders experimenting with agentic applications, built with the assurance that it will scale when they do.
Now based in California, ApertureData focuses on reaching AI teams at the precise moment when infrastructure decisions become unavoidable.
That moment, Gupta knows, is arriving faster than most companies are ready for.
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