zelthy

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1. 9/15/2026

   Updated: best for, features, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Life sciences enterprises needing automation of complex workflows with compliance and audit requirements.","Organizations requiring full code ownership and extensibility without vendor lock-in."]

   After: ["Life sciences enterprises requiring automation of complex workflows with compliance and auditability, including top pharmaceutical companies.","Organizations needing full code ownership and customization without vendor lock-in for regulated industry applications."]

   features

   Before: ["Built-in compliance features including GxP, HIPAA, SOC 2, and audit trails from day one.","Workflow engine supporting state-machine based workflows with states, transitions, guards, and side-effects for business processes.","Audit logging that automatically records every object change, user action, and system event with tamper-evident records and timestamps.","Multi-channel notifications including email, SMS, push, and in-app alerts with scheduling, retry logic, and delivery tracking.","Integrated messaging and collaboration features such as chat, comments, threads, and activity feeds within workflows."]

   After: ["100+ AI agents that automate compliance, monitoring, and reporting in life sciences workflows.","Built-in role-based access control (RBAC), audit logging, and workflow engine for regulated industries.","Multi-tenancy support providing isolated tenant workspaces with full data and user separation.","Policy framework allowing fine-grained access control with per-field, per-action, and per-condition rules.","Background job processing for asynchronous tasks such as report generation, data imports, and scheduled processing."]

   summary

   Before: "Automating patient enrollment and adverse event monitoring workflows in life sciences. Built-in compliance features including GxP, HIPAA, SOC 2, and audit trails from day one. Workflow engine supporting state-machine based workflows with states, transitions, guards, and side-effects for business processes."

   After: "Zelthy is an AI-driven platform with over 100 AI agents designed to automate complex life sciences workflows across commercial, medical, and compliance domains. It is built on an open-source Django-based framework called Zango, enabling full code ownership and deployment flexibility on cloud, on-premise, or hybrid infrastructures."

   useCases

   Before: ["Automating patient enrollment and adverse event monitoring workflows in life sciences.","Commercial operations, medical compliance, and regulatory workflows automation for pharmaceutical companies."]

   After: ["Automating patient services workflows including patient enrollment and adverse event monitoring.","Supporting commercial operations, compliance, regulatory, traceability, and supply chain management in life sciences."]

   walkthrough

   Before: ["Build and deploy custom AI agents tailored to specific life sciences workflows."]

   After: ["Deploy pre-built templates covering 70–80% of the solution, then configure remaining workflows and business rules to specific requirements.","Deploy on any infrastructure including AWS, Azure, GCP, private cloud, on-premise, or hybrid with Kubernetes-native CI/CD pipelines and cross-region failover."]