Alan Lorimer
CEO
Sciento - IT Solutions for Life Science
This company provides AWS development and managed services specifically for the life sciences industry, focusing on digital pathology. Their platform connects image analysis software to a scalable cloud environment, enabling scientists and pathologists to deploy high-performance image analysis for digital and quantitative digital pathology.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Healthcare Technology
- Software Only
Updated 7 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Digital pathology and quantitative digital pathology (QDP) workflows are often hindered by slow image rendering, limited access to high-performance computing resources, fragmented analysis processes, and inflexible image management and storage. Traditional IT infrastructure models struggle to keep pace with the increasing demands of digital pathology, impacting scientist productivity and slowing down data generation for R&D projects.
Solution
Sciento Technology's QDPconnect is a managed cloud-based solution that connects image analysis software to a scalable, high-performance computing environment on AWS, addressing the IT infrastructure challenges in digital pathology. QDPconnect provides on-demand computing power, parallel multi-image processing, and flexible cloud storage, enabling scientists and pathologists to maximize the performance of their image analysis software and improve their overall experience. The platform facilitates remote working, streamlines workflows, and offers a user-friendly console to control and monitor resources, while ensuring data security and compliance through built-in audit trails. By optimizing the IT infrastructure, QDPconnect empowers scientists to work more efficiently, accelerate data generation, and reduce the costs associated with traditional IT models.
Target Audience
The primary target audience includes scientists, pathologists, IT professionals, Contract Research Organizations (CROs), biotech companies, and pharmaceutical clients involved in digital pathology and quantitative image analysis.
Features
- On-demand, scalable computing power tailored for image analysis tasks
- Parallel multi-image processing for faster data generation
- Integration with leading image analysis software such as HALO and Visiopharm
- Flexible, cost-effective cloud storage with automated archiving options
- User-friendly dashboard to control and monitor computing resources
- Secure remote access to desktops containing image analysis software via VPNs
- Dedicated virtual machine (VM) desktops for individual users, ensuring independent and uninterrupted workflows
- Support for Deep Learning (DL) tasks with access to Graphic Processing Units (GPUs)
- Batch processing script for massive scale-up and parallel image processing
- Option to run on-premise and cloud-based hybrid environments
- Rapid deployment of image analysis software in the cloud
- Centralized control to limit the availability of computer resources
- Automated software updates deployed simultaneously across users