Compression
Trinity losslessly reduces contextual files by 15% or 30%, resulting in a 24% or 39% increase in usable storage space.
Indexability
Trinity files are always indexable and computational, offering access to a unified, non-categorical search feature.
Protection
Trinity manages data based upon its unique characteristics, rendering it non-normalized. Each file must be targeted for breach, rather than an intruder simply breaking into the user's system.
Intuitive
Trinity also uses machine learning to constantly manage your data's storage locations. Thus, it further reduces latency during indexing operations and lowers costs associated with computational load.
Compression
Trinity losslessly reduces contextual files by 15% or 30%, resulting in a 24% or 39% increase in usable storage space.
Indexability
Trinity files are always indexable and computational, offering access to a unified, non-categorical search feature.
Protection
Trinity manages data based upon its unique characteristics, rendering it non-normalized. Each file must be targeted for breach, rather than an intruder simply breaking into the user's system.
Intuitive
Trinity also uses machine learning to constantly manage your data's storage locations. Thus, it further reduces latency during indexing operations and lowers costs associated with computational load.
Lightweight
Trinity utilizes legacy hardware with a minimal physical footprint, similar to firewall products. Trinity hardware is a passthrough system and lacks memory to store data once processed.
Flexible
Build new systems or adjust your equipment leases with ease.
Next Generation
Trinity is a logically based solution, so it can always be applied to new advancements in computing.
Lightweight
Trinity utilizes legacy hardware with a minimal physical footprint, similar to firewall products. Trinity hardware is a passthrough system and lacks memory to store data once processed.
Flexible
Build new systems or adjust your equipment leases with ease.
Next Generation
Trinity is a logically based solution, so it can always be applied to new advancements in computing.
