Clinical AI Platform
for Healthcare

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GENERATIVE AI PROVIDERS WE HAVE PARTNERED WITH
Build AI

AI Integration for Tomorrow’s Healthcare

Empowering healthcare teams to develop bespoke AI solutions internally, as we eliminate inefficiencies so they can focus on critical steps in the pipeline.
Data Integration And Curation
We integrate and curate diverse healthcare data, ensuring consistency and relevance to build a solid foundation for AI development.
Data Labelling and Annotation
Our expert team labels and annotates healthcare data, addressing the complexities and high costs of manual processing for AI readiness.
AI Training and Evaluation
Train and evaluate foundation models focusing on scalability and robustness, ensuring they're reliable for clinical use.
Deployment and Scaling
Streamline model deployment in secure, scalable environments, enabling efficient operation and adaptability in health systems.
Model Optimization
Through continual learning, we refine models with updated data and expert feedback, ensuring accuracy and adaptability to new clinical insights.
01

Data Integration and Curation

Most of this data is hard to find, hard to work with, and hard to clean. We make it easy.
02

Training Your AI with Powerful Models

Making your AI smart and capable is a complex task. We streamline it for you.
Healthcare-specific quality annotations at scale, by domain experts
Our annotation tools are designed to handle the complexity and specificity required in healthcare data labelling.
Enhancing Medical Imaging Insights
Our image annotation tools ensure precise identification and categorization of anomalies in MRI scans, X-rays, and histopathological images, supporting diagnostics and treatment planning.
Unveiling Insights from Clinical Notes
From EHRs to clinical trial notes, our text annotation capabilities extract critical information such as symptoms, diagnoses, and treatment plans, enabling healthcare professionals to derive actionable insights swiftly and accurately.
Capturing Nuances in Patient Interactions
Our audio annotation tools transcribe and annotate patient interactions with high fidelity, capturing nuances in speech, sentiment, and medical terminology to support informed decisions and personalized care in telemedicine and patient interviews.
03

Foundation Models

Most of this data is hard to find, hard to work with, and hard to clean. We make it easy.
04

Model Deployment

Faster deployment, increased efficiency and a reduction of infrastructure and cloud costs.
Move from a local prototype to a secure and scalable cloud deployment with a single command
Host models and data within your Virtual Private Cloud (VPC), compatible with Azure & AWS
Track token consumption and API calls with user-friendly dashboards
Auto-scale compute resources based on demand. Pay for what you use
05

Reliable AI Through Careful Evaluation

Making sure your AI is dependable takes work. We make it effortless.
1
Catch model issues, troubleshoot root causes, and continuously improve performance
2
Run large scale experiments concurrently and get powerful, customizable visualizations in a unified dashboard
3
Easily evaluate tasks performance on hallucination, clinical relevance, patient satisfaction, risk of harm and accuracy
4
Diverse network of experts to perform the LLM evaluation and red teaming to identify risks
06

Continual Learning

For AI teams, our engine improves you models by improving your data.
Fine-Tuning
Stay Updated: Regularly update your models with the latest data to improve accuracy and relevance.
Use Case Adaptation: Tailor models to specific needs with domain-specific data for better performance.
Reinforcement Learning from Human Feedback (RLHF)
Collaborate with skilled healthcare professionals to refine model outputs with advanced capabilities for benchmarking, ranking, selection, NER, and classification