We Take Care Of Clinical Repetitive Routines So Clinicians Can Take Care Of What Matters Most

Q is the most comprehensive, customizable, and controllable clinical AI in the world —and gets smarter with every experience. We pair it with our expert clinicians in a hybrid model that takes full responsibility for your repetitive routine clinical processes, end to end. 

 

Meet Q

Watch a physician use Q to assign a patient task, conduct an outreach call, deliver lab results, and handle follow-up questions — without pulling anyone off the floor. This is one workflow. Request a demo to see what it looks like running inside your organization.

Q is your workforce. Infinitely scalable. Always on.

Schedule a Demo Let's Talk

Lab Test Follow-up

Q clipboard
Routine Lab Results Follow-Up
3:13

Post Op Follow-up

Q nurse
Post Op Knee Surgery

Health Check

Q admin
Type 2 Diabetes Check In
4:39

What Q Does

 Q lifts the repetitive clinical burden from our partners — combining the scalability, precision, and affordability of AI with the trust and care of real clinicians. We don't hand you a tool. We take responsibility for the delivery. 
 

Run the coordination layer.

Every routine clinical process, handled automatically and accurately at whatever volume your organization operates, including scheduling, intake, referrals, discharge planning, care coordination, medication management, and documentation, orchestrated together with your clinical partners to support a more efficient and productive patient journey.

Scale the reach of your clinical team.

Because Q is designed for the highest efficiency and broadest application, your organization can safely handle greater volumes of patient interactions and deeper degrees of engagement, consistently and continuously, in a way that feels like support rather than automation. Q doesn't replace your team. It multiplies them.

Deliver partnership, not software.

Q is not a tool you manage. It is a managed service that deploys in hours, customizes through conversation, and improves automatically — without adding headcount, IT overhead, or implementation risk.

The Numbers

Q’s production results are human-audited across live patient interactions — measured against the same standards used to evaluate human clinicians.

99.96%

Clinical Accuracy

Measured against validated clinical protocols across 25 workflow types. Not pattern matching. Not keyword recognition. Clinical reasoning held to the same standard as a trained clinician — across every workflow, every interaction, every time. 

 

98.7%

Empathy Pass Rate

The people on the other end of a Q interaction are not tolerating automation. They describe it as speaking with a nurse. That is not an efficiency story. That is a quality story — and it is what makes AI-driven engagement viable at scale across any population. 

 

98.4%

No Harm Rate 

At every clinical boundary, mandatory escalation protocols executed. Every case flagged, handoff completed, none left without oversight. Where detection was hardest, Q still caught 97 out of 100 genuine safety signals — with the audit layer catching the rest. 

 

2.23s

Response Time

The operational layer, running in real time. No queue. No delay. No friction. Every interaction handled at the speed the situation requires — without the lag, hold times, and coordination gaps that define the current standard across healthcare operations. 

 

What Partners Say

 Q is already running inside organizations across the US and UK. The leaders below chose Q not because of what it promised, but because of what it proved. Here is what they have to say — and who they work for. 
"What sets Quadrivia apart is their commitment to building alongside nurses, not around them. Through our Fellowship with Quadrivia, we are doing exactly that, bringing together frontline ambulatory care nurses to validate solutions that reflect the realities of their practice. This is a collaboration rooted in trust: nurses shaping the tools they use, informing the standards they uphold, and helping build a safer healthcare experience. Together, we are ensuring that the tools nurses rely on every day are built with their insight, their experience, and their patients in mind."
Cynthia Murray BN RN AMB-BC LNC
President American Academy of Ambulatory Care Nursing
"Every practice is different. Our workflows, our data source quirks, our patient demographics — they're unique to us. With our previous vendor, requesting a customization felt like submitting a ticket into a black hole. Weeks would go by. With Quadrivia, the team moves fast. We describe what we need, and it's configured and live in days, not quarters. That responsiveness has been night and day."
CEO
Longtime user of a competing platform
Q Technology

Built for journeys. Not just tasks.

 Most clinical AI handles one thing at a time. Q was architected from the ground up to manage complete patient journeys: autonomous, multi-layered, and continuously improving. 

Most clinical AI is still in its infancy. Voice trees. Scripted chatbots. Single-task models that answer one question and stop. The field is only beginning to understand what it means to deploy AI that acts, learns, and improves on its own.

Q operates at Stage 4 of clinical AI autonomy — Clinical Task Execution — where the agent doesn't just converse. It reads from and writes to clinical systems. It executes tasks under clinician direction. It completes workflows. And it learns from every interaction it has, automatically.

Getting to Stage 4 required building the architecture from the ground up to support it. Q runs on three layers: an agent builder, a task manager, and a care journey orchestrator, with each layer training the one below it. Foundation models handle conversation. Twenty parallel guard agents monitor for clinical safety in real time. Three audit layers — raw signal, AI auditors, and human calibration — keep every interaction accountable.

The result: new workflows deploy in hours, not weeks. Every conversation runs through a self-healing loop. Every improvement is inherited by every workflow that follows it.

Human-led

What's under the hood:

  • Real-time, autonomous voice and text conversations with patients and clinicians
  • Bilateral AI-accelerated EHR connectivity
  • Strict data segregation and sovereignty by design
  • Automated data mapping
  • ~2.5s turn cycle across signal, reasoning, response, and delivery

Foundation systems enable intelligent multi-step journeys. Task-based systems cannot. 

Q Performance

Clinical-grade. Every time.

 Q has been tested against published benchmark performance for clinicians since inception — measured in the real world, not projected in a lab. 

Performance that compounds with every cycle.

Across 6,000 live calls and 25 clinical workflows, Q performed at the same level as clinicians for its given routine processes and tasks. Since then, over 20,000 interactions including real-world patient engagements have been tested, showing continued improvement at scale.

Within a single 2.2-second response window, Q ingests audio, cancels noise, transcribes speech, runs clinical reasoning alongside approximately 20 concurrent safety and compliance guard agents in parallel, validates the response, and delivers it back to the patient: fully governed, fully logged, every time.

And it compounds. Every conversation makes the next one better.

side by side chart graphics

By the numbers:

  • 98.4% no-harm clinical safety rate, within published clinician benchmarks
  • 99.6% clinical accuracy, within the range of inter-clinician variability
  • 98.7% empathy pass rate, measured against the same interpersonal standards used to evaluate human clinicians
  • Measurable improvement with every iteration cycle

 

 98.4% clinical safety. 98.7% empathy. 2.23 seconds. 

Built To Compliance Standards

HIPAA

Every engagement is governed by a signed Business Associate Agreement. PHI is encrypted in transit and at rest. Access is role-based. Audit logs are maintained at all times.
HIPAA

TCPA

TCPA-compliant.  Q contacts individuals only with documented prior consent. Every outreach interaction is logged with consent status, timestamp, and interaction record. 

TCPA

AI Transparency

Individuals are always informed they are speaking with an AI. Every interaction is disclosed and recorded in accordance with applicable federal and state requirements. 

AI Transparency

Soc2 Type I

Q has completed its SOC 2 Type I audit, independently verifying that security controls meet the Trust Services Criteria for security, availability, and confidentiality. The report is available to customers under NDA. 
Soc2 Type I

HITRUST r2

(In Progress) Q is pursuing HITRUST r2 certification — the healthcare industry standard that incorporates HIPAA, NIST CSF, and ISO 27001 within a single validated assessment. 
HITRUST r2

Data Ownership

 Identifiable data is never used to train AI models. De-identified data may be used only with express customer authorization. Each customer's data is fully isolated. You define retention periods and retain full ownership at all times. 
Data Ownership

Penetration Testing

 External CREST-accredited auditors, internal testing, and regular red team exercises conducted without broad knowledge of the engineering team. 
Penetration Testing

Continuous Monitoring

 Automated compliance monitoring and evidence collection with real-time control tracking across all infrastructure. 
Continuous Monitoring

Disaster Recovery

Regular exercises validate business continuity plans and defined recovery objectives. All results documented and stored as compliance evidence. 
Disaster Recovery

 The fastest way to understand Q is to try it.