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MCP Engine

Consolidate dispersed pharma AI into
one auditable brain

Using Model Context Protocol (MCP), we bidirectionally connect HCP CRM, Veeva, IQVIA, brand LINE OA, and all other systems with every Aiii module — data flows in, insights flow back, and every step leaves an audit trail.

Over Halfof Top-100 Global Pharma Served
Dual #1Gov't × NVIDIA Validated
ISO 27001International Security Certification
2019NLP & LLM Journey Started

Government programs, NVIDIA validation, and ISO certification are company credentials — not client relationships.

Core Mechanism

What Is MCP Engine

It's not about one-way data dumping. MCP Engine uses the Model Context Protocol to enable bidirectional communication between pharma brand systems and every Aiii module — data flows in, AI insights flow back, all auditable throughout.

Brand LINE OA HCP Broadcasts / Engagement HCP CRM Visit / Engagement Records Veeva CRM / CLM IQVIA Market Data MCP Engine Model Context Protocol · Bidirectional · Auditable Data In / Insights Out MCP Report Agent Real-Time Insights / Q&A Reports AI Content Generation Compliant Edu-Content / HCP Materials Predictive Analytics Prioritization / ROI Estimation Journey Automation HCP × Patient Triggers Data / Command Flow In Insights / Actions Pushed Back
Select any node to learn more
Hover over or Tab to any node and press Enter to view detailed information about each integration point.
  • Brand LINE OA
    HCP broadcast and engagement data flows bidirectionally; performance written back to CRM in real time.
    Data In / Insights Out
  • HCP CRM
    Visit records and engagement scores flow into the analytics engine; AI insights write back to CRM.
    Data In / Insights Out
  • Veeva
    Call plans and approved content lists enter Aiii; AI recommendations flow back to the Veeva mobile app.
    Data In / Insights Out
  • IQVIA
    Market data integration drives predictive analytics prioritization.
    Data In
  • MCP Report Agent
    Ask one question to generate cross-system reports — no waiting for IT.
    Insights Out
  • AI Content Generation
    Compliant medical education content and personalized push copy — published to LINE OA / Veeva after approval.
    Insights Out
  • Predictive Analytics
    Predicts which physicians to prioritize and which content converts best.
    Insights Out
  • Journey Automation
    Behavior-triggered automatic push reminders, PSP tracking, and follow-up visit notifications.
    Insights Out
Full-Module Integration

11 Solutions Connected. Data Returns. Insights Flow Back.

MCP Engine is the bidirectional nervous system shared by all 11 solutions — every module is both a data source and an insight receiver.

Aiii Compute Services

Enterprise LLM Inference · Your Own On-Premise Compute Service

Aiii doesn't just use compute — we turn it into a service: a proprietary compute pool for enterprise-grade LLM inference, private or on-premise deployment, and flexible bulk capacity. Unified memory architecture lets a single node handle massive models; multi-node clustering supports large-scale LLM inference online — no cloud GPU dependency, with compute and data remaining fully within your control.

Proprietary Fine-Tuning Train domain-specific models on your own compute pool — data never leaves, securing your data boundary at the source.
Private · On-Premise Deployment (Data Stays In-House) Models run on client premises or in-facility; data never leaves — meeting the strictest privacy and compliance requirements in pharma and healthcare.
High-Capacity Compute · Better Cost Efficiency Parallel architecture delivers substantial, elastic compute at a total cost far below equivalent cloud GPU rental.
Flexible Provisioning (Resalable · Shareable) Surplus capacity can be offered externally at competitive rates, enabling organizations to consume large-model LLM inference on demand.
Platform Extensions

Three Core Capabilities, Live in Pharma Today

These aren't roadmap features — they're live, disclosed capabilities of MCP Engine as it runs today.

AI Content Generation

Taking HCP interaction context and regulatory frameworks as input, generating compliant medical education content and personalized HCP push copy. After approval, published directly to LINE OA or Veeva CLM via MCP Engine — with a full audit trail throughout.

Extends AI Medical Education Content Search (material-gps)

Predictive Analytics

Integrating CRM visit records, IQVIA market data, and LINE OA engagement data to predict which physicians to prioritize, which content converts best, and which territory has market share headroom — ensuring field and marketing resources land where they matter.

Extends MCP Report Agent (report-agent)

HCP × Patient Journey Automation

Triggered by HCP interaction events (e.g., completing a patient education read, attending a webinar) or patient behavior milestones (e.g., Day 30 on medication), automatically executes the next step — LINE push, PSP tracking notification, follow-up reminder — all bidirectionally connected via MCP, with no touchpoint missed.

Integrates PSP/PAP Platform + HCP Solution
AI Implementation Consulting

Consulting & Co-Creation Workshops
for Enterprise AI Adoption

From current-state assessment and integration roadmap planning to go-live acceptance, Aiii provides structured AI adoption consulting to help enterprises actually deploy MCP Engine — not just evaluate it.

Contact a Consultant
Current-State Assessment & Integration DiagnosisAssess the integration feasibility and priority of existing systems (Veeva / CRM / LINE OA) with MCP Engine.
Co-Creation WorkshopBring commercial, marketing, and IT together to define business objectives and success metrics for AI adoption.
Go-Live Monitoring & OptimizationContinuously monitor MCP data flow quality and module performance post-launch to ensure ROI.
Technical Credentials

Hard capabilities that back every claim

Behind MCP Engine lies real-world technical depth and partner validation — not marketing copy on a product page.

Domain-Specific LLM Results

A pharma-specific large language model fine-tuned with NVIDIA is what enables MCP Engine to genuinely understand pharmaceutical compliance contexts — not a general model forced to fit. (Compute service details in the section above.)

AI-Native Proprietary Toolchain

From BRD to SDD to implementation, the entire delivery cycle is AI-driven. If a tool doesn't exist, we build it. Every integration module iterates rapidly under the same toolchain — new system connection validation completed in weeks.

Multi-Model Collaboration

We don't bet on a single model — selecting freely among frontier models based on the task, assigning each workload to the most suitable model at that moment.

Technology Partners & Certifications

Azure Technology Partner Our team includes multiple certified Azure Data Scientists, giving us solid grounding for both on-premise deployments and cloud integrations.
Azure Partner Azure Data Scientist
Anthropic Partner Network (APN) — Claude Technology Partner As a Claude technology partner, we have first-hand access to best practices for frontier model deployment.
Anthropic Partner Network
Compliance & Trust

The Prerequisite for Pharma AI: Trustworthy and Auditable

Every data flow in MCP Engine maintains an audit trail, meeting the security and compliance requirements of pharma regulatory environments.

ISO 27001International information security management certification — obtained
PDPA Data PrivacyCompliant with Taiwan's Personal Data Protection Act; data handling processes are documented
Pharma Regulatory ExperienceServing over half of the Top 100 global pharma companies; versed in TFDA pharmaceutical advertising regulations and MedComm review processes
Auditable Data FlowsEvery data transmission and AI action in MCP Engine maintains a complete audit log, supporting both internal compliance reviews and external audits

View full compliance & technical credentials →

Trusted Partners

Trusted by Industry Leaders

Serving over half of the Top 100 global pharma companies, spanning healthcare, manufacturing, and retail.

FAQ

Answers to Common Questions

Does MCP Engine replace existing systems?
No. MCP Engine is an integration layer — it doesn't replace Veeva, HCP CRM, or brand LINE OA. It uses the Model Context Protocol to bidirectionally connect these systems with Aiii modules, enabling existing tool data to circulate and be leveraged by AI, while pushing AI insights back to the source systems. Your IT team doesn't need to migrate databases, and your field teams don't need to change their workflows.
How is this different from buying a single point product (e.g., a LINE OA tool)?
A single point product solves one touchpoint problem — data stays siloed in that system. The core value of MCP Engine is bidirectional flow: brand LINE OA engagement data can flow into Veeva or CRM, and insights from the predictive analytics module can trigger the next LINE OA push. That kind of cross-system data return is something no collection of standalone tools can achieve.
How long does MCP Engine implementation take?
It depends on integration complexity. A single module (e.g., connecting MCP Report Agent to brand LINE OA) typically completes POC in 4–6 weeks; a full Veeva + IQVIA + LINE OA three-way integration takes approximately 8–12 weeks. We conduct a system assessment during the consulting phase to provide a more precise timeline and milestones.
How are security and compliance guaranteed?
Aiii holds ISO 27001 information security management certification and complies with PDPA data privacy regulations. Every data transmission in MCP Engine carries an audit log, and every AI action is fully recorded — supporting internal compliance reviews and external audits. For pharma clients with stricter security requirements, we also support private cloud or hybrid deployments.
What is MCP (Model Context Protocol) and why does it matter?
MCP (Model Context Protocol) is an open protocol that enables AI models to read from and write to external systems in a standardized way — much like HTTP enables web interoperability. By using MCP as the integration backbone, Aiii means that connecting new systems in the future requires no rewritten custom interfaces, dramatically reducing integration cost and avoiding lock-in to any single AI vendor.
Start Integrating

Ready for your pharma AI to start working
in both directions?

Schedule a 30-minute demo and we'll show how to connect your existing LINE OA, CRM, and Veeva into MCP Engine — and make insights genuinely flow back.