ciPARTHENON™
Unified Commercial Analytics Cloud
Built by Life Sciences Experts, for Life Sciences Organizations
AI Powered Analytics for future-ready Life Sciences Organizations. Commercial Excellence, out of the box!
Built for Scale and Speed
Modernize your Data & Analytics Stack & Leverage our Comprehensive Ecosystem of Vertical Applications
What’s inside
Data Ingestion, Integration, Transformation, Analytics, GenAI, NLP, Visualizations Built Specifically for Life Sciences
Analytics
Simulate future outcomes inform proactive actions
Insights powered by AI/ML to identify complex latent relationships in Data.
Real Time Insights - Auto Refreshed.
Advanced techniques to mine and analyze Unstructured Data from Reviews, Social Media, & News Articles.
GenAI & NLP
Responsive Chat Engine to generate sub-millisecond responses.
Cutting-edge LLMs trained on Commercial Operations Data.
Automated algorithms that enhance precision over time.
Visualization
Configurable dashboards
User or team parameterization to filter data automatically by user permissions.
Directly link other applications, documents or dashboards.
70+ visualization widgets to design dashboards
Data Ingestion, Integration & Transformation
Connectors for Oracle, PostgreSQL, MySQL, Maria DB, SQL Server, and more.
Integrations with Dropbox, Google Drive, OneDrive, Amazon S3 and more.
Handle Big Data in Amazon RedShift, Google BigQuery, Snowflake and Azure Synapse.
Connect with SAP, QuickBooks, Salesforce, XERO, NetSuite, ServiceNow and more.
Our connector taps into the power of GraphQL to provide you paginated, synced data.
Explore Our Commercial Analytics Apps
Why ciPARTHENON™
Harness the benefits of a Unified Commercial Analytics Cloud
Pretrained Visualization, AI & Domain Specific models automatically generate insights on demand. No software to create, test, and maintain.
Accelerate Proactive Insight Generation and leverage Natural Language Queries to increase accessibility.
Work with all major data sources in a SINGLE end-to-end pipeline.
Connect business, technical and operations stakeholders through collaborative processes.