Clinical AI is scaling. Safety infrastructure needs to scale too.
Clinical AI is already being deployed widely across healthcare settings. But the infrastructure to evaluate and benchmark these systems has not evolved at the same pace.
Manual red-teaming and testing is expensive and bottlenecks release cadence.
Automated tests are tokenistic and blind for detecting how generative AI fails in the real world.
Pre-deployment proof and post-deployment monitoring is required for entering the healthcare market.
Forensic.
Scalable.
Independent.
Fault Line combines adversarial AI evaluation, structured risk modelling and continuous statistical analysis into a single independent evaluation system for generative clinical AI.
Clinical AI Auditing Agents.
Purpose-built AI agents probe your clinical system with thousands of adversarial conversations designed to elicit the full spectrum of risks that surface in real clinical use. These agents are built on complex, dynamic scaffolds that enable our Auditors to test your systems in ways clinicians, vignettes and existing automated evals cannot.
Comprehensive, Data-Driven Taxonomy.
Our taxonomy starts with >60 public benchmarks and evaluation datasets - research publications, clinical safety registries, adverse event databases, AI risk repositories and regulatory frameworks. Unsupervised machine learning methods group this evidence into failure mode clusters that are genuinely differentiated, non-overlapping and cover the whole risk space. We then integrate your product specific clinical context and known risk cases to produce a taxonomy calibrated to your system.
Defensible Safety Profiles.
Fault Line audit results are quantified into structured safety profiles assessing safety performance across failure modes, severities and categories, with risk-coverage metrics and statistical comparison to prior releases.
Clinical Grade Testing at Software Speed.
Runs on every release. No clinical bottleneck.
Fault Line's evaluation suite runs as a native CI/CD check on every pull request the same way your existing test infrastructure does. Safety evaluation happens automatically at the point of code change, so clinical AI teams can ship at speed without waiting on manual review cycles. Every release is evaluated. Every regression is caught before it reaches production.
Evaluation reports your clinical, product and compliance teams can use.
Every evaluation run produces a structured independent report written to the standards of clinical governance, medical device regulation and procurement review. Mapped to failure categories, severity-rated and independently authored. Ready to use for regulatory technical files, healthcare procurement processes or clinical safety reviews.
Reception Agent v3.4.5
Built for clinical AI teams.
Patient-Facing AI Chatbots & Agents
AI voice and text agents interacting directly with patients across the entire care journey from hello to discharge.
- Voice agents
- Patient-facing chatbots
- Care-pathway assistants
Clinical Decision Support
Copilots, triage systems and diagnostic tools supporting clinical workflows where outputs influence care decisions and operational pathways.
- Clinical copilots
- Triage systems
- Diagnostic AI
Documentation, Workflows & OS
Scribes, workflow orchestrators and AI operating systems generating clinical content from patient, clinician and healthcare-professional interactions — where accuracy, omissions and downstream workflow reliability matter.
- Scribes & documentation tools
- Workflow orchestrators
- Clinical operating systems
Let’s build the clinical safety layer together.
Fault Line is building the safety layer that helps healthcare organisations and clinical AI companies trust generative systems in real-world deployment. For health-AI innovators, startups and market-leaders — we would love to hear about what you’re building.