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TileDB builds a specialized database for multi-dimensional arrays to power complex data workloads across life sciences, geospatial research, and AI. Its system stores data as array structures, enabling efficient storage, retrieval, and analysis of large, diverse datasets with strong performance and scalability. Unlike traditional row/column stores, TileDB focuses on array-based data access patterns and metadata management to support advanced analytics, simulations, and collaboration across scientific disciplines. The company differentiates itself through its emphasis on array databases, flexible data models, and strategic partnerships that expand applicability in research, enterprise, and government sectors. TileDB’s goal is to make complex data accessible and manageable for scientists and developers, accelerating discovery and practical insights.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Early VC
Total Funding
$52.8M
Headquarters
Cambridge, Massachusetts
Founded
2017
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Total Funding
$52.8M
Above
Industry Average
Funded Over
4 Rounds
Health Insurance
Dental Insurance
Stock Options
Paid Vacation
Remote Work Options
Flexible Work Hours
TileDB launches Carrara, an omnimodal data intelligence platform. TileDB announced controlled availability of TileDB Carrara, an omnimodal data intelligence platform addressing the inability to discover, access, and analyze all data types, from structured tables to non-tabular data such as genomics, imaging, documents, models, agents, in a unified, governed environment. TileDB Carrara treats all data as "modalities" - reachable, shareable data or code assets with inherent structure and domain-specific semantics. Whether population variants, bioimaging, PDF documents, Jupyter notebooks, user-defined functions, or external tables from existing data warehouses, assets become discoverable, and queryable. * Organization: A unified catalog for registering and searching across all modalities, supporting rich metadata filters and LLM-powered discovery * Structuring: Leveraging TileDB's shape-shifting array technology to efficiently capture any complex data type, optimized for cloud storage backends * Collaboration: Teamspaces that function as secure data products, enabling users to create, share, and audit access to diverse assets within data clean rooms * Analyze: An infrastructure for massively distributed computations, workflows, notebooks, and dashboards that manages all the data. While Carrara's omnimodal architecture serves enterprises across sectors, its impact is particularly useful in life sciences and healthcare, where the integration of multimodal data (genomics, proteomics, clinical imaging, electronic health records, and sensor data) is essential.
This is why TileDB partnered with the Chan Zuckerberg Initiative (CZI) to develop a scalable, efficient and user-friendly storage solution for single-cell genomics data.
TileDB Inc. has released a new Max server size for notebook instances on TileDB Cloud.
Over the past decade, Greece has seen a significant increase in startup activity in diverse sectors, including fintech, tourism tech, agritech, healthtech, and creative industries, all supported by incubators, accelerators, and co-working spaces. This diversity reflects the country's ability to leverage its strengths across various domains. The country's supportive regulatory environment, coupled with a growing pool of skilled tech talent and robust infrastructure, has fostered the growth of numerous successful tech companies. International recognition and funding opportunities are also on the rise, attracting both local entrepreneurs and global investors to Greece's promising tech landscape
Precision medicine is revolutionizing healthcare – by optimizing the efficiency and therapeutic benefit for particular groups of patients, especially by using genetic or molecular profiling. This approach enables a range of health disciplines, including disease prediction, prevention and the resulting treatments, diagnostic screening for prenatal and newborns, and screening for rare diseases and cancer types. For life sciences, the ability to peer into high-resolution molecular profiles has opened up the way we hunt for new drugs and targets.As exciting as these possibilities are, precision medicine relies on being able to handle and analyze vast amounts of complex data with a great degree of nimbleness and agility. With faster, more affordable technologies, organizations are generating hundreds of terabytes of genomic data per month, and it’s estimated that genomics alone will generate up to 40 exabytes of data per year by 2025. The explosion of variant data from public and private biobanks, and the advent of multi-omics, in particular, is rendering existing solutions to store and analyze data impractical.A prime example is Phenomic AI, a pioneering biotech company targeting the tumor stroma, a complex barrier that surrounds cancer cells and stops medicines from working. At the core of Phenomic AI’s work is a target discovery platform where scientists can apply machine learning to single cell data amassed at scale, enabling the discovery of novel stromal targets
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Early VC
Total Funding
$52.8M
Headquarters
Cambridge, Massachusetts
Founded
2017
Find jobs on Simplify and start your career today