Plvs Ultra's platform tackles the industry's complex data challenges. We combine advanced technology with industrial expertise to unlock your data's full potential through three key pillars:
Plvs Ultra enables Pharma leaders, for the first time, to use enterprise data from a single search bar - enabling intelligence at the speed of need. That’s because Plvs Ultra
"All this is made possible by Plvs Ultra’s curated ontologies that are based on over 20 years of Pharma experience…
The Ontology Super-Power" section with details about how ontologies connect fragmented data, provide industry-specific contextualization, and accelerate implementation.
This is the Power of Plvs Ultra…
Plvs Ultra was developed for Pharma leaders in CMC, Manufacturing and Supply Chain who are critical to driving significant efficiencies in development and batch release to market.
The impact of accelerating the time taken to achieve key deliverables and the potential, game-changing power of data automation in driving this is clear.
But… Even though Pharma companies have more data than ever and even with the vast amounts of time and expense spent on data products and Data Lake strategies to access that data from multiple sources, CMC and Manufacturing leaders are still not getting the meaningful insights they need – even those who have gone as far as introducing AI.
This is down to one reason: The data is still fragmented, disconnected, trapped in siloes. Trapped as data, not intelligence.
You can only get intelligent, meaningful insight and you can only realise the full power of AI when you break down the siloes and contextualise the data. This is the breakthrough the founders of Plvs Ultra set out to deliver…"
Our team, armed with deep-seated industry knowledge, is devoted to tackling some of the highest value and complex challenges within the domain of life sciences.
Founded by life science veterans with 50+ years combined experience, Plvs Ultra blends deep industry knowledge with technical expertise to tackle pharma's toughest data challenges: