In the race to adopt multimodal AI systems capable of processing, understanding, and generating text, videos, and images, enterprises are running into a “data crisis”. They have plenty of data assets to work with, but most of them remain closed off, or locked, in siloed systems. According to Google Cloud’s 2024 Data and AI Trends report, 66% of organizations say at least half of their enterprise data is unused. Bridging this gap is California-based ApertureData, which has now closed its oversubscribed seed round at $8.25M for a purpose-built database for multimodal AI.
The funding round was led by TQ Ventures with participation from Westwave Capital, Interwoven Ventures, and a group of high-caliber angel investors. Existing investors also reaffirmed their commitment to ApertureData’s vision.
Currently, enterprises must use multiple disparate solutions to mobilize 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.
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ApertureData is bridging a crucial 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—perfectly tailored to meet the demands of AI workflows. Users can now unlock the full power of ApertureDB in the cloud with a risk-free 30-day trial. In just a few clicks, they can access advanced graph-vector database capabilities, effortlessly scale their AI applications while eliminating the complexities of data infrastructure management.
ApertureDB provides enterprises with a single interface that centralizes 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. Specifically, ApertureDB is 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.
Vishakha Gupta, CEO of ApertureData commented: “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.”
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.
Andrew Marks, General Partner at TQ Ventures added: “ApertureData has steadily built an amazing business with a wide view on the tech stack. They knew early on that traditional databases, which are geared toward textual data, would be insufficient for managing more complex multimodal data. The quantum of multimodal data and the desire to leverage it for analysis and machine learning is likely to explode over the coming decade as we are already seeing with the growth in use cases for generative and multimodal AI. And so, the work ApertureData is doing today will be foundational towards building the best infrastructure for emerging multimodal AI applications across various industries.”
With this 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. As large-scale multimodal data continues to play an increasingly vital role in AI and machine learning, the company is poised to lead the charge in providing a robust, scalable database for the next generation of AI innovations.
SOURCE: GlobeNewswire