antonIA · Pharma Enterprise Solutions

ANTONIA MEDINFO · MEDICAL INFORMATION

Medical knowledge. Available when it matters.

Fast, controlled access to approved medical and scientific information, for healthcare professionals and internal teams.

ANTONIA MEDINFO · MEDICAL INFORMATION

THE PROBLEM

The answer exists. Finding it takes days.

Medical information queries travel through emails, internal search engines, and scattered documents before reaching an answer. Medical teams spend hours on recurring questions, and whoever asks waits days for information that is already written and approved.

HOW antonIA SOLVES IT

An assistant that only answers from validated sources.

antonIA builds medical knowledge assistants on RAG architecture: the query retrieves documents from the company's approved repository, validates the sources, and generates an answer with its citations visible. What isn't in the repository isn't answered — it's routed to the medical team. Every query and every answer goes into the audit log.

ARCHITECTURE

Ask Medical Information
  1. Search
  2. Retrieval
  3. Source validation
  4. Answer generation
  5. Citation
  6. Human escalation

CAPABILITIES

01Medical knowledge assistants

Natural-language queries over the company's approved corpus.

02RAG architecture

Retrieval-augmented generation: the model answers from retrieved documents, not open memory.

03Approved content repositories

A curated, versioned corpus as the only source of answers.

04Scientific document retrieval

Semantic search across product documents, studies, and medical documentation.

05Citation traceability

Every statement links to its source document and section.

06Medical escalation

Out-of-scope queries are routed to the medical information team.

07Audit logs

Complete history of queries, sources, and answers.

AI LAYERS INVOLVED

  1. 07EXPERIENCE
  2. 06AI AGENTS
  3. 04INTELLIGENCE
  4. 03KNOWLEDGE
  5. 02COMPLIANCE
  6. 01SECURITY

FLOW VISUALIZATION

From query to cited answer

  1. Query
  2. Search
  3. Retrieval
  4. Source validation
  5. Answer generation
  6. Citation
  7. Human escalation

ENTERPRISE CONTROLS

Controlled knowledge

Answers from approved content, not from the model's open knowledge.

Audit logs

Every interaction and decision is recorded and queryable.

Role-based access

Every user sees exactly what their role allows.

Data isolation

Separate environments per organization, with no information crossover.

Encryption

Data encrypted in transit and at rest.

Structured escalation

Defined routing paths to the corresponding teams.

INTEGRATION POSSIBILITIES

The assistant is fed by existing document repositories and published where teams already work: internal tools, medical portals, or conversational channels, always with role-based access control.

  • Document repositories
  • Internal tools
  • Medical portals
  • Conversational channels

LET'S BUILD

Let's put medical knowledge where it's needed.

Answers with visible sources, from approved content, with complete auditing.

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