ApertureData announced an $8.25 million seed round, led by TQ Ventures with participation from Westwave Capital, Interwoven Ventures, and high-caliber angel investors.
The startup’s flagship product, ApertureDB, is designed specifically for the challenges of multimodal AI workflows. As enterprises push to unlock the full potential of their data assets, many are hindered by siloed systems and disjointed data infrastructure. Google Cloud’s 2024 Data and AI Trends report shows that 66% of organizations have at least half of their data going unused. ApertureData bridges this gap by providing a unified database that allows efficient storage, management, and search capabilities for complex multimodal datasets.
“The adoption of multimodal AI for applications like chatbots and computer vision systems has created a major market opportunity for unified data management,” said Vishakha Gupta, co-founder and CEO of ApertureData.
Today’s AI projects often involve cobbling together disparate solutions—from ingesting data across sources, storing it in cloud buckets, to using bespoke scripts for preprocessing and classification. This complexity slows progress, drives up costs, and puts ROI at risk. ApertureDB addresses these pain points with a purpose-built solution that delivers graph-vector database capabilities in one place, significantly reducing the integration and maintenance burdens faced by data science teams.
“Our goal is to make multimodal data handling effortless, enabling faster timelines for AI development and deployment,” added Gupta. Founded by Gupta and CTO Luis Remis, ApertureData aims to reshape data management through expertise gained during their time at Intel Labs.
Initial deployments include a major home furnishings retailer, a leading manufacturer, and several biotech and generative AI startups. ApertureDB is 35 times faster at mobilizing multimodal datasets than traditional methods and 2-4 times faster than open-source vector databases.
“ApertureData saw early on that existing database solutions were not equipped to handle the complexities of multimodal data,” said Andrew Marks, General Partner at TQ Ventures. “The work ApertureData is doing today will be foundational towards building the best infrastructure for emerging multimodal AI applications across various industries.”
With the new funding, ApertureData plans to scale its production deployments, enhance user experience through improved documentation and sandbox environments, focus on ecosystem integrations, and significantly expand its sales and marketing efforts.
