Sold by: TileDB
Deployed on AWS
Tile.ai enables governed, federated access to scientific data across Amazon S3 and third party systems (eg Databricks, Snowflake, Benchling etc), with an architecture designed to extend across organizations, without requiring wholesale data migration. Deployed in your AWS account, it connects people and AI agents to multimodal data, tools and services while preserving source-system access controls and allowing computation to remain in the originating environment.
3.8
Overview
Tile.ai, formerly TileDB, is an Enterprise AI Data Substrate purpose-built exclusively for life sciences. It helps pharmaceutical companies, biotechnology companies, CROs and biomedical research institutions make distributed scientific data usable by scientists, applications and AI agents. Through governed, federated access, Tile.ai connects supported omics, imaging, scientific documents and tabular data across existing systems without requiring wholesale migration into a central database or replacement of established research platforms.
The platform works through Tiles: reusable definitions that describe a scientific data asset or service, its context, and the tools and operations available to authorized users. A Tile can represent a dataset, a scientific application or an approved institutional service endpoint. Through MCP and programmatic interfaces, Tile.ai orchestrates calls to defined operations, allowing queries and computation to execute within the originating platform or trusted research environment (TRE). Access remains subject to the permissions, credentials and data-sharing policies of the originating system, with only permitted results returned. This architecture supports a path from connecting fragmented systems within a life sciences organization to federated collaboration across research institutions, partners and consortia, while allowing each participant to retain its chosen platforms and control over access.
Deployed in your own AWS account, Tile.ai strengthens trustworthiness and reproducibility through defined tools, parameters and execution records, making results easier to inspect and repeat. Scientific context and reusable operations reduce the need for AI agents to rediscover tools, generate access code and recover from failures, resulting in 75% lower token consumption per completed task and a 3x faster return of results. Organizations can spend less time on repetitive data-access work and more time answering scientific questions, advancing research and putting AI to productive use.
Highlights
- Purpose-built for life sciences: Make distributed omics, imaging, scientific documents and tabular data usable by scientists and AI agents. Tile.ai combines scientific context, governed access and reusable operations without requiring wholesale data migration or replacement of existing platforms.
- Federated access without centralizing data: Connect supported scientific systems through Tiles that expose approved tools and services. Queries and computation can remain in originating environments, with source-system permissions preserved. Extend from internal data access toward collaboration across institutions and research consortia.
- More trustworthy, reproducible and efficient AI: Defined tools, parameters and execution records make results easier to inspect and repeat. Reusable operations reduce repetitive code generation and error recovery, with demonstrated benefits including 75% lower token consumption per completed task and a 3x faster return of results.
Details
Sold by
Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
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Vendor refund policy
Details on the TileDB Refund Policy can be found in the Terms of Use.
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Delivery details
Software as a Service (SaaS)
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Resources
Vendor resources
Support
Vendor support
Tile.ai offers Support through our Annual Subscription. Please contact Tile.ai Sales for more information through our website (https://www.tile.ai/request-access ). Customers can contact Tile.ai support using the Help Center [support.tiledb.com] for questions, comments, or concerns about their services, products, website, or applications.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Andrei R.
Flexible and scalable solution for database requirements
Reviewed on Aug 13, 2024
Review provided by G2
What do you like best about the product?
I like that it merges all data modalities, code and compute into a single platform so it is easy to store, manage and visualize data.
What do you dislike about the product?
It could be a bit tricky to get up and running with it however. It takes a bit of time to get used to the user interface and I feel like available resources could be improved.
What problems is the product solving and how is that benefiting you?
Observability and data visualization to draw actionable insights, optimize processes, application performance, infrastructure cost management, etc.
Emily C.
Organizing my company’s information
Reviewed on Aug 09, 2024
Review provided by G2
What do you like best about the product?
What I consider are the basic and advantageous qualities of TileDB is that it make data management easier. Due to its flexible structure, compatibility and ease in use, we have had a chance in the recent years to store, retrieve and analyze large amount of data in shorter time than used to be possible. Among the aspects to which customers pay much attention, flexibility that allows TileDB to solve our constantly changing tasks is among the most valuable . The application is capable of saving any type of data, be it an image, or highly structured, with no problems. Besides, the high query response time has enabled effective data analysis and decision-making for the organization.
What do you dislike about the product?
But it must be noted that initially, it does take some time to actually adapt to the user interface of TileDB. We could have benefited from a more detailed tutorial that would enlighten us more on all the functions and prospects of the software.
What problems is the product solving and how is that benefiting you?
Regarding how TileDB has assisted us in solving issues in our company I would like to note that it has been a major useful instrument. Mainly, we have achieved optimization of data management processes, cost reduction, and outcomes enhancement.