Model weights, training corpora and inference traffic remain inside the environment you designate. Nothing leaves your boundary.
From connected devices to connected intelligence
Where we start
Inventus provides complete support exclusively for clinical trials: purpose-built patient and site devices, global eSIM connectivity, mobile device management, protection, finance solutions, 4PL and helpdesk support, and device repurposing.
What we observed
Clinical trials still generate a large volume of unstructured text — medical records, adverse event narratives, protocol documents and patient-reported complaints. Handling it manually is time consuming and introduces avoidable variation.
The choice we made
Rather than depending on a general-purpose public model, we are training a private medical large language model: data stays inside the customer environment, capability is tuned for clinical scenarios, and every output can be traced back to its source.
Figures and milestones will be published once verified by the Inventus team.
A private medical LLM, purpose-built for precision care
Private model training and deployment for sponsors, CROs and research sites — building clinical intelligence that stays under your own control.
Continued training on clinical trial and care corpora, not a general model wrapped in a prompt. Terminology, ontology and workflow are part of the model.
Every response can be traced to the evidence behind it, with versioned releases and retained records for quality review.
Four capabilities behind the model
From raw clinical text to a governed, continuously evaluated private model.
An end-to-end stack that runs inside your environment
Four layers, closed loop, from clinical data through to the point of care.
Application Layer 04
Supports pre-visit intake, record structuring, protocol Q&A and enrolment support across the study journey.
Model Layer 03
Combines a private medical LLM with retrieval augmentation and terminology mapping to deliver clinically relevant responses.
Training Layer 02
Uses continued pre-training, instruction tuning, alignment and safety guardrails to build and refine the model.
Data Layer 01
Brings together medical records, protocols and amendments, literature and guidelines, and device telemetry as the model’s data foundation.
Integrated with what you already run
The full stack can operate inside a customer-controlled environment, from data ingestion through to inference.
It connects to the Inventus estate already present in your study — patient and site devices, global eSIM connectivity and mobile device management — so intelligence reaches the point of care without a separate infrastructure project.
All capabilities are assistive. They do not replace the professional judgement of investigators, physicians or sponsors.
Security and compliance by design
Controls applied across the data, training and inference pipeline.
De-identification before training
Sensitive identifiers are stripped and data is de-identified across the full pipeline before it reaches the training environment.
Private deployment
The model runs inside the boundary you define. Study data does not traverse public inference endpoints.
Role-based access control
Least-privilege access with role separation between study teams, site staff and administrators.
GxP-aligned practice
Quality practices aligned with GxP expectations and electronic record and signature requirements, including 21 CFR Part 11 and EU Annex 11 direction of travel.
Traceable and auditable output
Model versions, prompts and evidence sources are retained so any output can be reconstructed during review.
Data protection compliance
Operated in line with GDPR and applicable regional data protection requirements, consistent with the Inventus privacy and security policies.
Phase timing will be confirmed with partners and published once agreed.
Ready to build precision care intelligence with us?
Choose from our range of end-to-end solutions for clinical trials.