Trinzz is at the forefront of researching the latest advancements in computer vision and visual data processing technologies specializing in bio-medical 3D stacked data, DICOM, NIfTI data to redefine your computer vision-based AI experience. Unleash your possibilities, create compelling outcomes, and elevate your applications with Trinzz.
Deploy AI products faster with an unified CV/ML tool stack. Manage & curate your life sciences and biotech data, create high-quality training data, track and evaluate model performance all in one platform with Trinzz.
Revolutionizing how DICOM, Nifti and 3D stacked medical data are
utilized for training and deployment of Bio-medical Models
AI-Assisted Labeling
Multi-Step Review
Secure And Private
Powerful 3D visualization with oblique views, crosshairs, and cinematic reconstructions.
Navigate, annotate, and analyze high-resolution microscopy with precision.
Control playback, sync multi-camera setups, and track objects seamlessly with AI-powered annotations.
Compare imaging modalities with custom layouts, presets, and overlays.
Break geographical barriers in medical AI development with collaborative features.
Enable seamless remote diagnostics with real-time access to medical imaging.
Annotate regions of interest in a slice and generate automatic annotation for the whole series.
If you don't have your own data labeling workforce or engineering team, we're here to help you scale. Our world-class experts can support your project from initial ideation through proof of concept, all the way to final deployment and evaluation.
Searching for radiologists, digital pathology experts, or other medical imaging professionals? Our network of expert labelers is skilled in annotating and interpreting medical images. They understand the nuances of various modalities and can provide high-quality, accurate annotations for your specific needs.
We assist in designing custom workflows, implementing quality assurance measures, and overseeing your entire labeling initiative—from scope definition to final delivery. Share your project goals and datasets with us, and we'll help manage the process, providing regular progress updates.
Our platform adheres to SOC 2, ISO 27001, and HIPAA compliance standards for robust data security. We offer flexible team sizing to accommodate projects of various scales, along with competitive pricing models tailored to your specific project requirements.
Send us a subset of your data and tell us about the problem you're trying to solve with AI. Our team will quickly set up a project, demonstrate the tool and workflow, and identify the right annotators for the task. In some cases, our solutions engineers have been able to build and present a proof of concept within hours.
Faster Training
Reduced Manual Work
Lesser Costs
Higher Accuracy
Trinzz is optimized for accuracy, efficiency and speed, Securely and Scalably.
Compliant with SOC2 Type 1 standards.
Encryption of all data in transit and at rest ensuring end-to-end security, with SSL transport.
Benefit from enterprise-grade infrastructure and regulatory compliance.
Ready for scale through Google Cloud Platform and Amazon Web Services hosting, on-premises deployment infrastructure.
Infrastructure compliant with HIPAA, enabling Business Associate Agreements execution, enabling faster FDA approval applications.
Enhance your workflow with our extensive array of open APIs, SDKs, developer tools, and comprehensive documentation. Effortlessly tailor, automate, and broaden your pipeline to seamlessly integrate with other applications.
Trinzz Powers The Best Healthcare Companies
With Trinzz's collaborative annotation & CV/ML platform you can get to production AI faster while meeting regulatory requirements. Quickly label large training datasets from all modalities, and leverage foundation models to speed up your development process.
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Trinzz is SOC2, HIPAA, and GDPR compliant with robust security and encryption standards.
Import data from your desired storage bucket such as AWS, Azure, Google Cloud Storage & Open Telekom Cloud OSS.
Programatically access projects, datasets & labels within the platform via API.
