We help research and healthcare organizations automate, build, and secure Trusted Research Environments, establish AI and data governance, and turn sensitive data into usable insight — delivered as engineering services and scoped to your environment.
A solutions area, not a packaged product. Work here is delivered through Secure Cloud's Build, Automate, and Secure services and scoped to each organization's data, systems, and obligations.
Trusted Research Environments
A Trusted Research Environment (TRE) lets approved researchers analyze sensitive data without it leaving a controlled setting. We help you establish one, run it efficiently, and show it meets the standards your data providers, funders, and ethics bodies expect.
Automate access requests and approvals, researcher onboarding, project provisioning, and data ingress and egress reviews — with a person in the loop wherever a decision matters.
Design and build secure analysis workspaces, data pipelines and linkage, and the approved tools researchers need — including governed AI — inside a controlled environment.
Identity and access controls, audit logging, output checking, monitoring, and security assessments, so sensitive data stays protected and every action is traceable.
Secure · Governance
Establish a governance framework and practical guidelines for how data and AI are used in research — designed around recognized principles such as the Five Safes and your regulatory and contractual obligations.
Secure · Assurance
Prepare for and work through your TRE accreditation process, so your environment meets the standard you're working toward — and stays there.
We help you prepare and evidence your controls; accreditation decisions are made by the accrediting body.
Capabilities
Extract, classify, and structure information from unstructured scientific and research text so it can be searched, analyzed, and reused.
Remove repetitive steps from intake, document handling, data preparation, and hand-offs between teams and systems.
AI applications that search, summarize, and draft against your own content — scoped to a defined workflow, with human review built in.
Pipelines, integrations, and data models that move information reliably between the systems your teams already use.
Access controls, auditability, and data-handling rules designed in from the start for work involving sensitive data.
Taking AI from a promising pilot to a governed, supported application that fits your environment and operating model.
How it maps
Automate
Automate Trusted Research Environment access requests, project provisioning, and data ingress and egress reviews, plus repetitive research workflows — with human review designed in where decisions matter.
Build
Establish or extend a TRE: secure analysis workspaces, data pipelines and linkage, and approved tools — including governed AI — inside a controlled environment.
Build
Pipelines that turn unstructured scientific and research text into structured, usable data, and the data engineering to move it reliably between systems.
Build
Enterprise AI applications that search, summarize, classify, and draft against your own content — scoped to a defined workflow and evaluated before rollout.
Secure
Access controls and auditability designed in, a governance framework with practical guidelines for data and AI use, and support preparing for and working through TRE accreditation.
Working with sensitive data
AI and automation in healthcare and research need clear boundaries. We build them into the design rather than adding them later.
We help you design to the regulatory and contractual requirements you're accountable for. We don't certify compliance with HIPAA or any other framework — certification and attestation come from qualified third parties.
Tell us about your research environment, the data, and what's getting in the way. We'll help identify the right place to start.
