Pometry

Startup

Data is at the heart of decision making today, and graphs are firmly embedded in the modern data stack. From drug discovery to claims fraud, graphs enable previously unachievable insights. However, while graph analytics platforms are increasingly used across the industry, most applications and solutions overlook a crucial element. Time.

Current solutions focus solely on the latest version of the data - missing out on how it has arrived at the state it is in today.

Temporal graphs embed the full history of data, keeping track of every change that has ever occurred. This enables organisations to understand the order of interactions, compare the evolution of the network over time, and control for risk or prepare for future trends.

In biotech it helps us understand the change in relationships between patients, doctors, and their diagnostics. Protect against fraudulent claims. Or better map out the lineage of genomes and how they have branched over time.


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