QBench
QBench allows you to keep track of all your samples and where they are located in the workflow using a single system. QBench eliminates the need for spreadsheets, shared folders in the network, and paper-based tracking systems. You can view hundreds of PDF reports/COAs before publishing or emailing. You can generate barcodes and create labels that you can customize for your samples. Compatible with standard printers and scanners. QBench's billing module allows you to create and send invoices right from the system. You can see counts and latencies for different data types in QBench. This includes metrics like turnaround time, sample counts per test, sample delay, and many others. QBench makes it easy for you to gather the data your lab needs for the assays you perform.
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ZeroPath
ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with deep program analysis to deliver intelligent security testing that finds real vulnerabilities while dramatically reducing false positives.
Unlike traditional SAST tools that rely on pattern matching, ZeroPath understands code context, business logic, and developer intent. This enables identification of sophisticated security issues including business logic flaws, broken authentication, authorization bypasses, and complex dependency vulnerabilities.
Our comprehensive security suite covers the application security lifecycle:
1. AI-powered SAST
2. Software Composition Analysis with reachability analysis
3. Secrets detection and validation
4. Infrastructure as Code scanning
5. Automated PR reviews
6. Automated patch generation
and more...
ZeroPath integrates seamlessly with GitHub, GitLab, Bitbucket, Azure DevOps and many more. The platform handles codebases with millions of lines across Python, JavaScript, TypeScript, Java, Go, Ruby, Rust, PHP, Kotlin and more.
Our research team has been successful in finding vulnerabilities like critical account takeover in better-auth (CVE-2025-61928, 300k+ weekly downloads), identifying 170+ verified bugs in curl, and discovering 0-days in production systems at Netflix, Hulu, and Salesforce.
Trusted by 750+ companies and performing 200k+ code scans monthly.
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The Galen Platform
Ibex Medical Analytics stands at the forefront of AI-driven cancer diagnostics within the field of pathology. Our diverse team comprises entrepreneurs, data scientists, software engineers, and medical professionals united in our mission to revolutionize cancer diagnostics through artificial intelligence, ultimately enhancing patient care. As the volume of tests continues to rise annually, pathologists face significant challenges in delivering precise and timely analyses. To address this, Ibex harnesses the power of AI to create clinical-grade solutions that aim to identify cancer with the same level of accuracy as a human pathologist. The Galen Platform employs advanced algorithms to scrutinize images, detect and classify cancer in biopsy samples, and highlight other clinically significant findings, thereby assisting pathologists in minimizing diagnostic errors while streamlining their workflow. Notably, Ibex’s Galen™ Prostate and Galen™ Breast solutions represent the pioneering AI-based cancer detection tools integrated into routine clinical practice in pathology labs, showcasing proven efficacy in uncovering previously missed cancer cases. As we continue to innovate, our commitment to improving cancer detection and patient outcomes remains unwavering.
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Qritive
Accelerating the speed, precision, and affordability of cancer diagnoses is crucial, especially considering that one in three individuals will face this disease in their lifetime. Unfortunately, the current diagnostic process is often hindered by slow and costly methods, primarily due to the lack of advanced automated tools that support healthcare professionals. Qritive addresses this challenge by offering an AI-driven solution designed to assist physicians in analyzing both microscopy images and textual patient data efficiently. This innovation not only enhances the effectiveness of hospitals in diagnosing cancer but also contributes to significant cost savings. Additionally, Pantheon serves as a CE-marked, vendor-agnostic digital pathology platform that facilitates the complete digitization of pathology lab workflows and telepathology. It also supports comprehensive report generation and offers a robust platform for AI-driven analysis of whole-slide images in pathology. This technology is particularly adept at distinguishing between a variety of benign conditions and malignant diseases within breast tissue, which is vital for timely and accurate treatment. In doing so, it plays a pivotal role in transforming the landscape of cancer diagnostics.
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