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Maxis AI's Agentic AI Platform enables enterprises to build and deploy AI agents that work autonomously across your organization. We help pharma, life sciences and forward-thinking enterprises create AI agents that think through problems, make decisions, and take action - all while maintaining the security, compliance, and control that enterprise environments demand. 
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Complete Agentic AI Platform capabilities
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Build Al Agents

For Enterprises: Use visual tools to create specialized AI agents.  

For Builders: Leverage code-based environments and APIs to build innovative solutions for the marketplace. 

AI Agent from Marketplace

For Enterprises: Deploy proven AI agents instantly from our vetted marketplace.  

For Builders: Monetize your AI agents by selling to enterprises actively seeking solutions. 

Orchestrate & Connect

For Enterprises: Design multi-agent workflows for complex processes.  

For Builders: Create agent ecosystems that work together intelligently for your customers. 

 

Enterprise-Grade Security

For Enterprises: Deploy with governance and compliance built-in.  

For Builders: Your agents automatically inherit enterprise-grade security and controls. 

Platform Integration

For Enterprises: Connect to existing infrastructure seamlessly.  

For Builders: Access pre-built connectors and APIs to expand your agent capabilities. 

Analytics & Insights

For Enterprises: Track AI agent ROI and performance metrics. 

 For Builders: Monitor your agent usage and optimize for customer success. 

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FAQ

Frequently Asked Question

Does the system have the ability to organize data ingested into an ODM normalized structure?
MaxisIT's CTR system supports a standard common data model (logical) for downstream processes like Reporting, Visualization, Aggregation, outbound access to external systems etc. The common data model depends on the customer needs, we have customers who want SDTM like structures, some prefer ODW (Operational Data Warehouse) structures, some prefere a CDR (Central Data Warehouse) structure which followed a common Data model (similar to ODM). A mix of these is also possible to support the different requirements of reporting and clinical programming.
Does the system have the ability to support loading transactional, cumulative and incremental updates of data to the CDR?
System supports loading transactional, cumulative and incremental data loads. We extract clinical and operational data from various source systems, harmonize it and load it to CDR. Cumulative data will be ingested at first and then subsequently incremental loads.
Does the system have the ability to identify the incremental update with date/time and corresponding status/flag (i.e. ability to detect 'New' vs. 'Changed' data).
System supports identification of incremental updates based on incremental hash key functionality or primary keys. Incremental hash key will compare the cumulative data load with the new data loads. Primary key option will require to identify the primary keys on the source metadata and the system will use these to identify the delta ie New/updated data.
Does the system support data review and data reconciliation on an ongoing basis?
Data review is available in the system at source, target & at report level. Data reconciliation is done by aggregrating the data and then aggregate views are leveraged to generate reconciled data reports or views.

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