Turing x pharma
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Operationalize AI in Clinical Trials and Prove Real Outcomes

AI only drives ROI when it’s built for real clinical operations, not isolated pilots, dashboards that gather dust, or unchecked black boxes. Meet us at SCOPE in Orlando from February 2-5 and see how Turing can help your organization deliver real outcomes in pharma.

Trusted by AI leaders, enterprises, and more
challenges
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Challenges in clinical development AI

Across the industry, teams are investing in AI, but many initiatives stall before they deliver outcomes. Common barriers include:

  1. Pilot projects without operational anchors
  2. Siloed tools that don’t integrate with clinical workflows
  3. Lack of standards and interoperable data
  4. Insufficient evaluation and governance mechanisms
  5. Regulatory and compliance risk concern
  6. EMR data harmonization

AI for trials only succeeds when it’s connected to real workflows and measurable results.

capabilities
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Turing capabilities across clinical trial use cases

Drawing from hands-on experience with frontier AI labs, Turing helps clinical trial leaders embed fit-for-purpose AI into end-to-end workflows with governance, evaluation, and measurable outcomes.

Protocol Intelligence & Amendment Risk Detection
Reduce protocol complexity and prevent downstream delays by identifying amendment triggers early.

What we enable: complexity scoring, feasibility signals, amendment trigger detection

Outcome: fewer amendments, faster startup, less rework
Patient-to-Trial Matching Automation
Accelerate enrollment by matching eligible patients to studies using structured and unstructured clinical data.

What we enable: criteria parsing, candidate ranking, inclusion/exclusion rationale

Outcome: faster screening, improved enrollment velocity, fewer screen failures, optimized cohort composition
Safety Signal Automation & ICSR Support
Strengthen pharmacovigilance workflows by detecting, prioritizing, and routing safety events with traceability.

What we enable: AE detection, case triage, structured outputs for review

Outcome: faster time-to-detection, reduced manual load, improved consistency
Trial Document Automation
Automate document workflows while preserving quality, compliance, and auditability.

What we enable: document classification, extraction, QC scoring, exception handling

Outcome: cycle-time reduction, fewer downstream errors, audit-ready workflows
Clinical Data Management
Make trial data AI-ready by normalizing, validating, and aligning to clinical standards.

What we enable: normalization pipelines, validation rules, anomaly detection

Outcome: improved data quality, faster downstream analysis, fewer reconciliation issues
Risk-Based Quality Management Signal-to-Action Workflows
Move beyond dashboards to operational action: detect risk, prioritize response, and close the loop.

What we enable: risk detection, site prioritization, action routing, escalation workflows

Outcome: faster issue resolution, improved oversight efficiency, reduced operational risk
Trial Operations & Site Selection
Select and activate sites faster using data-driven ranking and performance prediction.

What we enable: site ranking, feasibility workflows, startup delay prediction

Outcome: better-performing sites, faster activation, fewer late-stage surprises
Patient Monitoring & Adherence Risk Prediction
Improve retention and reduce protocol deviations through proactive monitoring and intervention workflows.

What we enable: wearable monitoring, adherence risk detection, escalation paths

Outcome: improved retention, fewer deviations, stronger data integrity
Trial Simulation
Support smarter study design with cohort enrichment and simulation-based planning.

What we enable: SCA construction support, digital twin inputs, scenario modeling

Outcome: faster decisions, improved efficiency, stronger evidence strategy
Biomarker Discovery
Accelerate stratification and discovery workflows using AI-assisted signal detection with expert validation.


What we enable: genomic/proteomic signal mining, cohort stratification workflows


Outcome: faster insight generation, improved targeting, better trial success probability
Drug Development Governance
Ensure AI outputs are trustworthy, measurable, and compliant before scaling.

What we enable: evaluation across accuracy/quality/reasoning, benchmarking, audit trails

Outcome: reduced compliance risk, higher reliability, safer deployment
Agentic AI with Human Oversight
Deploy adaptive agents that execute operational steps while maintaining traceability and governance.

What we enable: orchestration, confidence-based escalation, controlled automation

Outcome: reduced tool sprawl, faster execution, consistent operations
roi framework
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How AI leaders achieve measurable ROI with Turing

We work at the intersection of frontier lab advancement and enterprise deployment, turning cutting-edge technology into real-world results. Drawing from our work with leading AI labs, we design, deploy, and govern AI systems that deliver measurable results while meeting enterprise requirements for safety, accountability, and control.

1
Target high-value friction points
We focus on workflows where AI reduces manual effort, shortens cycle time, and improves decision confidence.
2
Move beyond insights to action
Our systems go beyond reporting to execute steps, escalate issues, and streamline follow-ups so teams stay focused on clinical judgment.
3
Embed AI within governance frameworks
AI workflows operate inside policy controls with traceability, security, audit logs, and human review loops.
4
Drive outcomes in weeks, not quarters
We pilot quickly and measure impact across time-to-decision, data quality, and operational efficiency.