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Q-Portal

Secure multi-model AI access for enterprise teams handling PHI and sensitive data, with governance controls and custom knowledge repositories.

Solution by Quantori
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Overview

Q-Portal is an enterprise AI governance platform developed by Quantori that provides secure, controlled access to large language models (LLMs) for every staff member within a single protected environment. Designed specifically for life sciences and healthcare organisations, it enables the safe handling of Protected Health Information (PHI) and sensitive institutional data or intellectual property, operating behind your institutional firewall rather than relying on publicly accessible AI websites.

Unlike consumer-facing LLM tools, Q-Portal adheres to strict data governance protocols to ensure compliance while maximising the utility of AI across the enterprise. It is built to encourage in-house AI innovation and bring advanced multi-model capabilities to teams in clinical, research, operational, and technical roles.

Key Features and Capabilities

  • Security and Compliance: Safe for use with PHI and sensitive institutional data, operating within your firewall and in accordance with data governance requirements.
  • Multi-Model Flexibility and Comparison: Access and compare responses from more than 30 different AI models in parallel, enabling teams to identify the best output for any given task.
  • Custom Knowledge Repositories: Create proprietary knowledge bases that models can reference during generation, supporting curation of institutional expertise.
  • Team Collaboration: Share chats and analysis results with colleagues for seamless, centralised team collaboration.
  • Versatile Input Support: Upload text, documents, images, and other files for direct analysis or question-and-answer workflows.
  • Innovation Hub: Empowers in-house experts to develop and share AI-driven solutions that benefit the wider institution.

Example Use Cases Across the Enterprise

  • Clinical Support and Summarisation: Condense complex research papers into bullet points or summarise lengthy patient history notes pasted from records.
  • Writing and Editing: Draft or proofread emails, memos, and reports, or generate professional documentation quickly.
  • Coding and Development: Draft SQL queries, convert code between languages such as R and Python, or add explanatory comments to existing code.
  • Data Analysis and Insights: Analyse text-based data sources such as web traffic reports to surface trends and key insights.
  • Education and Training: Translate highly complex scientific concepts into clear, accessible language for training and onboarding purposes.
  • Ideation and Strategy: Develop business strategies for expanding care initiatives or optimising operational workflows.

Governance and Responsible AI Use

  • Users are responsible for identifying and mitigating non-sensical or false outputs (hallucinations) produced by AI models.
  • Any outputs used for clinical analysis or decision support must be rigorously validated by a qualified professional before being incorporated into patient care, medical record documentation, or clinical decision-making.
  • All usage must adhere to institutional policies and data governance protocols.

Current Capabilities and Roadmap

  • Q-Portal is an actively evolving platform currently focused on secure, multi-model chat functionality.
  • The platform does not currently browse the internet for real-time information.
  • Integration with institutional systems such as EHR platforms and databases is not yet available but is a priority roadmap item.
  • Video files and zip files are not currently supported for processing.
  • The platform does not currently generate output files such as spreadsheets, slide decks, videos, or audio files.
  • Data visualisation generation and record-level data querying in Excel are not currently supported.

Q-Portal is deployed within your institutional environment, ensuring that sensitive data never leaves your controlled infrastructure. Organisations interested in governing and accelerating their AI adoption can request a demo directly from Quantori.

Meta

Domain
Clinical & Health Data Management
Subdomain
Health Data Harmonisation & Governance
Software type(s)
Foundation Model / API
Deployment type(s)
On-Premise
Industry vertical(s)
Academic / ResearchBiotechCROPharma
Development stage(s)
ClinicalPreclinical / Pre-MarketResearch & Discovery
Target user(s)
Research ScientistQA / Regulatory AffairsClinical / Diagnostic ProfessionalIT / Systems Admin / Data Engineer
Compliance standard(s)
HIPAAGDPR
Tag(s)
Uses AI