The funding round was led by TQ Ventures with participation from Westwave Capital, Interwoven Ventures, and a group of angel investors. Existing investors contributed.
“The increasing adoption of multimodal data in powering advanced AI experiences, including multimodal chatbots and computer vision systems, has created a significant market opportunity. As more companies look to leverage multimodality, the demand for efficient management solutions like ApertureDB is expected to grow,” says CEO Vishakha Gupta.
Currently, enterprises must use multiple disparate solutions to mobilise large multimodal datasets (images, videos, text files) for advanced AI. This involves ingesting data from different sources and storing it in cloud buckets – with continuously evolving metadata in files or databases – and writing bespoke scripts to search, fetch, and maybe do some preprocessing on the information.
Vector search and classification further complicate the setup, leaving teams struggling with significant integration and management tasks. As a result, organizations suffer from inefficiencies, the value of AI solutions comes into question, and projects run for months without the expected RoI, leading to missed business opportunities.
ApertureData is bridging a gap in today’s data infrastructure by offering a purpose-built database that provides teams with a unified solution for managing and accessing complex multimodal datasets—tailored to meet the demands of AI workflows.
Users can use ApertureDB in the cloud with a 30-day trial. They can access advanced graph-vector database capabilities and scale their AI applications while eliminating the complexities of data infrastructure management.
ApertureDB provides enterprises with a single interface that centralises all relevant datasets – including large images, videos, documents, embeddings, and associated metadata – for efficient retrieval and query handling. It stores the data, giving a uniform view of the schema to the users, and then provides knowledge and vector search capabilities for use across the AI pipeline.
By streamlining these disparate processes through one database, ApertureData reduces the time data scientists spend on data infrastructure issues and accelerates their projects’ timelines from months to a few days.
ApertureDB claims to be 35x faster than existing disparate solutions at mobilizing multimodal datasets and 2-4x faster than other open-source vector databases.
The company was founded by Vishakha Gupta (CEO) and Luis Remis (CTO), who collectively bring over a decade of experience from Intel Labs. Their firsthand experience with the complexities of visual data management led to the creation of ApertureDB.
The company has already secured initial deployments with select Fortune 100 customers, including a major retailer in home furnishings, a large manufacturer, some Biotech, retail, and emerging Generative AI startups.
