FAQ
Product & Technology
Can the therapiAI Agent Platform solve workflow challenges in the pharmaceutical industry?
Yes. therapiAI is an enterprise Agentic AI platform for pharma and CDMO teams. It connects approved knowledge, tools, and workflows to support R&D, process development, quality, regulatory, and business operations—with permissions, human review, and traceability built in.
What benefits can pharmaceutical companies expect from the therapiAI Agent Platform?
Expected benefits include faster knowledge retrieval and document review, less repetitive work, more consistent outputs, and better cross-team coordination. Results depend on the selected workflow and are measured during validation.
Can therapiAI integrate with LIMS / QMS / ERP systems? How much data is required?
therapiAI can connect to LIMS, QMS, ERP, and other systems through available APIs, MCP tools, or custom connectors. Data requirements depend on the use case: knowledge agents may start with approved documents, while predictive models require representative, labeled data.
Can companies with limited data still adopt therapiAI?
Yes. Teams can start with a focused workflow and representative samples. When data is limited, therapiAI can use knowledge-, rule-, or tool-based agents first and assess whether model training is appropriate.
How does therapiAI ensure data security? Does it use a non-centralized architecture?
therapiAI supports deployment in client-controlled private-cloud or on-premises environments. Access controls, environment isolation, and audit logs help protect data; retention and model-training policies are defined by the deployment design and contract.
Do AI modules support continuous learning?
Models do not learn from every interaction by default. Updates follow a controlled process for data review, testing, versioning, and approval, so improvements can be validated before release.
Partnership & Implementation Process
What types of companies does therapiAI primarily work with?
therapiAI works with pharmaceutical, biotech, and CDMO teams that manage knowledge-intensive R&D, quality, manufacturing, or business workflows. Engagements can begin with one focused use case and expand across departments.
What is therapiAI’s pricing model?
Pricing typically includes platform subscription, implementation, selected agent solutions, and—where applicable—dedicated AI compute or deployment services. The final proposal depends on scope, users, deployment model, and integrations.
What measurable results do companies see after deploying AI Agents?
Results are measured by workflow-specific KPIs such as review time, critical error or omission rate, manual revision effort, and task completion cycle. Baselines and acceptance criteria are defined during the pilot.
Can therapiAI integrate with existing LIMS / ERP / QMS systems?
Yes, subject to the existing system’s permissions and interfaces. therapiAI can integrate through APIs, MCP tools, or custom connectors, with access controls and audit records applied to the workflow.
Differentiation & Competitive Advantages
What role does AI play in the CDMO industry?
AI can support CDMO teams in knowledge retrieval, document analysis, quality review, process decisions, and workflow automation. It reduces repetitive work and improves consistency, while qualified personnel retain final responsibility.
How is therapiAI different from other AI companies?
therapiAI combines a configurable Agentic AI platform with biopharma-specific agents and governance controls. It works with existing knowledge and systems, enabling teams to manage access, tools, workflows, human review, and audit trails in one environment.
Why does therapiAI focus specifically on CDMOs?
Pharma and CDMO work involves complex knowledge, frequent technology transfer, cross-functional coordination, and strict quality requirements. therapiAI focuses on these workflows because domain context and governance are essential for reliable AI use.
Why do leading CDMOs choose therapiAI?
CDMO teams choose therapiAI for its biopharma focus, flexible deployment, and centralized control of agents, knowledge, tools, and workflows. Projects can start with one measurable use case and scale after validation.
What is therapiAI?
therapiAI is an enterprise Agentic AI platform for pharmaceutical and CDMO teams. It turns enterprise knowledge and expert processes into governed, traceable AI workflows.
Who is the CEO of therapiAI?
Michael Han is the CEO of therapiAI.
Who founded therapiAI?
therapiAI was founded by Michael Han, Alicja Lee, and Polly Lin. The team brings together expertise in life science, AI engineering, pharmaceutical operations, and governance.
When was therapiAI founded?
Founded in 2018 as Akousist, the company rebranded as therapiAI in 2024 and shifted its focus to enterprise Agentic AI for pharma and CDMO teams.
What is therapiAI’s mission?
therapiAI’s mission is to turn life-science expertise into trusted, scalable AI workflows that help teams make better decisions and complete complex work more efficiently.
Where is therapiAI headquartered?
therapiAI is headquartered in Taipei, Taiwan, and serves pharmaceutical, biotech, and CDMO teams across the Asia-Pacific region.