QA Wolf
QA Wolf helps engineering teams achieve 80% automated test coverage end-to-end in just four months.
Here's an overview of what you get in the box, whether it's 100 or 100,000 tests.
• Automated end-to-end testing for 80% of the user flows in 4 months. The tests are written in Playwright, an open-source tool (no vendor lock-in; you own the code).
• Test matrix and outline in the AAA framework.
• Unlimited parallel testing on any environment of your choice.
• We host and maintain 100% parallel-run infrastructure.
• Maintenance of flaky and broken test for 24 hours.
• Guaranteed 100% reliable results -- zero flakes.
• Human-verified bugs sent via your messaging app as a bug report.
• CI/CD Integration with your deployment pipelines and issue trackers.
• Access to full-time QA Engineers at QA Wolf 24 hours a day.
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EZO AssetSonar
EZO AssetSonar is a powerful IT asset management solution designed to deliver real-time visibility across your digital infrastructure. It enables organizations to effectively track and manage hardware, software, and licenses, helping reduce risk, control IT costs, and stay compliant.
With features like automated software discovery, license tracking, and normalization, AssetSonar tackles common challenges such as SaaS sprawl, shadow IT, and redundant tools. The platform integrates seamlessly with popular ITSM and endpoint management tools including Jamf, Zendesk, Intune, and SCCM, streamlining workflows and enabling continuous oversight of your IT environment.
By automating manual processes and centralizing asset data, AssetSonar empowers IT teams to shift focus from operational tasks to strategic planning. Enhance efficiency, gain full lifecycle visibility, and make informed IT procurement decisions with EZO AssetSonar.
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Schrödinger
Revolutionize the fields of drug discovery and materials research through cutting-edge molecular modeling techniques. Our computational platform, grounded in physics, combines unique solutions for predictive modeling, data analysis, and collaboration, facilitating swift navigation of chemical space. This innovative platform is employed by leading industries globally, serving both drug discovery initiatives and materials science applications across various sectors including aerospace, energy, semiconductors, and electronic displays. It drives our internal drug discovery projects, overseeing processes from target identification through hit discovery and lead optimization. Additionally, it enhances our collaborative research efforts aimed at creating groundbreaking medicines to address significant public health challenges. With a dedicated team of over 150 Ph.D. scientists, we commit substantial resources to research and development. Our contributions to the scientific community include more than 400 peer-reviewed publications that validate the efficacy of our physics-based methodologies, and we remain at the forefront of advancing computational modeling techniques. We are steadfast in our mission to innovate and expand the possibilities within our field.
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Atomwise
Our innovative AI engine is revolutionizing the drug discovery process, enabling the creation of superior medications at an accelerated pace. The breakthroughs we achieve contribute to the development of medicines more efficiently and effectively. Our portfolio of AI-driven discoveries encompasses entirely owned and collaboratively developed pipeline assets, supported by leading investors in the industry. Atomwise has engineered a cutting-edge machine-learning discovery platform that merges the capabilities of convolutional neural networks with extensive chemical libraries to identify new small-molecule treatments. The key to transforming drug discovery through AI lies in our talented team. We are committed to enhancing our AI platform and leveraging it to revolutionize the discovery of small molecule drugs. It is essential that we confront the most daunting and seemingly insurmountable targets, streamlining the entire drug discovery process to provide developers with increased opportunities for success. Enhanced computational efficiency allows us to screen trillions of compounds virtually, significantly boosting the chances of finding viable solutions. Our impressive model accuracy has successfully addressed the persistent issue of false positives, underscoring the reliability of our approach. Ultimately, our dedication to innovation and excellence sets us apart in the quest for breakthrough therapies.
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