Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
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Healthcare
Healthcare
Healthcare
Reducing Clinical Burden.
Reducing Clinical Burden.
Reducing Clinical Burden.
Improving Care with AI.
Improving Care with AI.
Improving Care with AI.
Centific enables healthcare AI trusted by clinicians and patients, grounded in real patient data, validated clinical reasoning, and rigorous safety evaluation.
The hidden infrastructure behind world-class AI models
The hidden infrastructure behind world-class AI models
The hidden infrastructure behind world-class AI models
The Data Advantage
Unlocking Scalable AI with Clinician-Validated Healthcare Data
Unlocking Scalable AI with Clinician-Validated Healthcare Data
Healthcare AI systems struggle not because models are weak, but because the most critical data is rarely usable at scale. Clinical conversations, ambient audio, imaging, and longitudinal records are fragmented, unstructured, and difficult to ground safely in real care workflows.
Centific addresses this gap by delivering clinician-validated datasets across conversational audio, ambient encounters, medical imaging, and structured clinical records. By grounding models in how care is actually discussed, documented, and decided, we enable healthcare AI that clinicians and patients can trust, and that scales safely from pilot to production.
Healthcare AI systems struggle not because models are weak, but because the most critical data is rarely usable at scale. Clinical conversations, ambient audio, imaging, and longitudinal records are fragmented, unstructured, and difficult to ground safely in real care workflows.
Centific addresses this gap by delivering clinician-validated datasets across conversational audio, ambient encounters, medical imaging, and structured clinical records. By grounding models in how care is actually discussed, documented, and decided, we enable healthcare AI that clinicians and patients can trust, and that scales safely from pilot to production.
Global Clinical Data Network
Real-world healthcare data sourced through a global network of clinicians, nurses, and domain experts, spanning clinical conversations, ambient encounters, medical imaging, and structured health records.
Global Clinical Data Network
Real-world healthcare data sourced through a global network of clinicians, nurses, and domain experts, spanning clinical conversations, ambient encounters, medical imaging, and structured health records.
Diversity by Design
Improve model robustness by training on clinically diverse data across geographies, care settings, patient populations, languages, and modalities, including audio conversations, imaging, and longitudinal records.
Diversity by Design
Improve model robustness by training on clinically diverse data across geographies, care settings, patient populations, languages, and modalities, including audio conversations, imaging, and longitudinal records.
Clinician-Validated Performance Gains
Datasets created, annotated, and validated by healthcare professionals, enriched with clinical context and safety checks that measurably improve model accuracy, reliability, and trustworthiness.
Clinician-Validated Performance Gains
Datasets created, annotated, and validated by healthcare professionals, enriched with clinical context and safety checks that measurably improve model accuracy, reliability, and trustworthiness.
Key Features
Key Features
How it Fits into the AI Lifecycle
How it Fits into the AI Lifecycle
From Experimentation to Clinical Reality
From Experimentation to Clinical Reality
Multimodal Clinical Grounding
Multimodal Clinical Grounding
High-fidelity datasets spanning clinical conversations, ambient audio, medical imaging, and structured health records provide a complete view of how care is discussed, documented, and delivered. Multimodal annotations connect speech, text, images, and context so foundation models learn not just what is said, but what matters clinically.
High-fidelity datasets spanning clinical conversations, ambient audio, medical imaging, and structured health records provide a complete view of how care is discussed, documented, and delivered. Multimodal annotations connect speech, text, images, and context so foundation models learn not just what is said, but what matters clinically.
Clinician-in-the-Loop Data Creation
Clinician-in-the-Loop Data Creation
Healthcare professionals actively create, annotate, and validate datasets to ensure medical accuracy, reasoning integrity, and safety. Structured schemas, consensus review, and specialty expertise transform raw clinical data into training and evaluation assets suitable for healthcare foundation models.
Healthcare professionals actively create, annotate, and validate datasets to ensure medical accuracy, reasoning integrity, and safety. Structured schemas, consensus review, and specialty expertise transform raw clinical data into training and evaluation assets suitable for healthcare foundation models.
Safety-First Evaluation and Validation
Safety-First Evaluation and Validation
Rigorous quality controls, bias checks, and clinical safety evaluation ensure data performs reliably beyond the lab. By stress-testing models against real-world edge cases and care scenarios, Centific enables healthcare AI systems that scale with confidence, compliance, and trust.
Rigorous quality controls, bias checks, and clinical safety evaluation ensure data performs reliably beyond the lab. By stress-testing models against real-world edge cases and care scenarios, Centific enables healthcare AI systems that scale with confidence, compliance, and trust.
Real-World Applications
Real-World Applications
Where Clinical Intelligence
Where Clinical Intelligence
Translates into Better Care
Translates into Better Care
Clinical Conversations & Ambient Documentation
Enabling healthcare technologies that understand real clinical conversations as they happen. High-fidelity audio from nurse triage, primary care, emergency, and inpatient settings captures how care is discussed under real-world conditions, supporting more accurate documentation, clearer summaries, and reduced administrative burden for clinicians.
Clinical Conversations & Ambient Documentation
EHR-Grounded Clinical Intelligence
Supporting healthcare systems with technology that reasons directly from real clinical records. By organizing structured and unstructured EHR data across visits and settings, this approach enables applications that reflect how care is documented, reviewed, and acted on in everyday clinical practice.
EHR-Grounded Clinical Intelligence
Virtual Nursing & Triage Workflows
Powering safe, protocol-aware virtual care experiences that help manage patient demand beyond traditional clinic hours. Realistic triage and escalation data supports technologies that streamline nurse workflows, reduce call volume pressure, and improve consistency of care while preserving clinical oversight.
Virtual Nursing & Triage Workflows
High-Acuity Emergency and Inpatient Care
Strengthening healthcare technologies used in emergency and inpatient settings by exposing them to the realities of urgent care. Data reflecting interruption, overlapping speech, rapid reassessment, and complex discharges helps systems perform reliably when stakes are highest.
High-Acuity Emergency and Inpatient Care
Consumer Health, Wearables, and Longitudinal Care
Enabling continuity between patient-facing health tools, smart wearable devices, and clinical care. Multimodal data spanning conversations, clinical records, and longitudinal signals from remote monitoring and wearables supports technologies that help patients understand their health, detect risks earlier, and reduce avoidable follow-ups and care gaps.
Consumer Health, Wearables, and Longitudinal Care
Healthcare AI Safety and Clinical Assurance
Supporting responsible deployment through rigorous evaluation grounded in real clinical scenarios. Safety-focused datasets and validation frameworks help ensure healthcare technologies behave reliably, transparently, and appropriately across clinical systems, consumer health applications, and connected devices.
Healthcare AI Safety and Clinical Assurance
Centific Ecosystem
The Complete AI Stack
Built to advance, deploy, and govern intelligence
Build & Train AI
Platforms
Verticals
Centific Ecosystem
The Complete AI Stack
Built to advance, deploy, and govern intelligence
Build & Train AI
Platforms
Verticals
Blog
Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
Newsletter
Stay ahead of what’s next
Stay ahead
Updates from the frontier of AI data.
Receive updates on platform improvements, new workflows, evaluation capabilities, data quality enhancements, and best practices for enterprise AI teams.