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Description

Founded in 2016, Infervision stands at the forefront of AI-driven medical technology, dedicated to enhancing multidisciplinary healthcare services and operations through innovative artificial intelligence solutions. Their advanced AI offerings are designed to assist healthcare professionals across a spectrum of tasks, including disease screening, diagnosis, intervention, treatment, patient management, and medical research. Among their array of solutions, InferRead CT Lung specializes in detecting lung nodules from chest CT scans, while InferRead DR Chest focuses on identifying chest abnormalities via X-ray imaging. Moreover, InferRead CT Coronary is tailored for recognizing coronary artery stenosis during coronary CT angiography, and InferRead CT Stroke is adept at triaging hemorrhages from brain CT scans. The company also provides InferRead CT Bone for spotting chest fractures in CT images and InferRead CT Pneumonia for diagnosing and managing pneumonia cases. Beyond these, their offerings extend to InferOperate, which facilitates 3D reconstruction for thoracic, liver, and urological surgical procedures, and InferCare, a tool designed for effective patient management and image follow-up. Additionally, InferScholar acts as an AI-enhanced resource for medical research, further solidifying Infervision's commitment to transforming healthcare through AI technology. This comprehensive suite of solutions positions Infervision as a pivotal player in the evolution of medical practices.

Description

ZeroGPU serves as a compute efficiency layer tailored for AI inference, enabling AI applications to minimize their inference costs by shifting high-volume tasks to dedicated models within an edge-powered inference network. This solution is founded on the principle that many production-level AI tasks do not necessitate advanced reasoning capabilities; instead, activities like document analysis, content summarization, page classification, signal extraction, PII detection, web content processing, query routing, and message moderation can generally be handled effectively by smaller, task-oriented models rather than costly frontier models. By utilizing ZeroGPU, developers can pinpoint workloads that lack the need for deep reasoning and efficiently direct them to specialized small language models and nano models. This process involves executing these tasks across optimized servers, leveraging approved edge capacity and cloud fallback, while also providing a framework to assess cost savings, improvements in latency, reduction in reliance on frontier-model calls, and overall model performance. In doing so, ZeroGPU not only enhances operational efficiency but also contributes to the broader accessibility of AI technologies.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OpenAI

Integrations

OpenAI

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Infervision

Founded

2016

Country

United States

Website

global.infervision.com

Vendor Details

Company Name

ZeroGPU

Founded

2025

Country

United States

Website

zerogpu.ai/

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