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
From data annotation to assessing model performance, Trinzz’s end to end solution helps biotech and life science companies
get their models into production faster, while elevating performance.
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 is built to redefine automation by using computer vision tools across industries,
giving your machines and applications the power to detect, segment, modify or track objects. Here are some of the sample use cases
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.
Book a demoTrinzz 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.