SciSure
SciSure is reshaping the future of laboratories worldwide with forward-thinking digital solutions. Our Digital Lab Platform (DLP) unites key tools such as Electronic Lab Notebook (ELN), Laboratory Information Management Systems (LIMS), and advanced technologies like AI and machine learning. Built for seamless compatibility with your lab's hardware and software, the platform enhances flexibility, security, and efficiency. By consolidating and optimizing your research and development workflows within a secure and compliant environment, we help researchers dedicate more time to innovation. Our expert team is committed to supporting you at every stage of your digital lab transformation.
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Checksum.ai
Engineering teams shipping with AI have a new bottleneck: validation. Code output has accelerated. Quality hasn't. Checksum closes the gap.
Checksum is a continuous quality platform with a suite of AI agents that handle testing end-to-end, at every stage of the development lifecycle. Where most tools wait for a human to trigger them, Checksum runs autonomously in the background, generating tests, executing them, and repairing failures without manual intervention. Seventy percent of test failures are resolved automatically through real-time auto-recovery.
The platform covers every layer: end-to-end UI flows via Playwright, API endpoint chains, and targeted CI tests scoped to exactly what changed in a PR. All tests land as real code in your repository and are delivered as standard Playwright, owned by your team.
Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents. Type /checksum and your coding agent's output gets tested before it ever reaches review. Generation and healing happen on Checksum's cloud infrastructure which means no LLM tokens consumed, no local resources required.
The result: test suites that stay green as the product evolves, fewer regressions reaching production, and release confidence that scales alongside AI output.
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LeapSpace
LeapSpace is an advanced, AI-enhanced research platform created by Elsevier to accelerate the journey from inquiry to innovation for both academic and corporate researchers within a secure and reliable setting. This innovative workspace integrates responsible artificial intelligence with one of the largest repositories of peer-reviewed scientific literature, which includes millions of full-text articles and over 100 million abstracts from a diverse array of publishers, ensuring that insights are based on credible evidence rather than raw internet information. By leveraging natural-language queries, LeapSpace allows users to delve into intricate research themes, providing structured, cited responses that facilitate the review of primary sources and the validation of results. Furthermore, LeapSpace is designed to support the comprehensive research process, enabling users to brainstorm ideas, organize projects, analyze existing literature, compare various studies, and generate detailed reports that uncover trends, inconsistencies, and gaps in current research. This holistic approach not only enhances research efficiency but also empowers users to deepen their understanding of their fields.
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Osmosis AI
Osmosis AI serves as an interactive study companion seamlessly integrated into the Osmosis learning platform, aimed at assisting medical and health professional students in grasping, reviewing, and solidifying intricate subjects through a mix of AI-driven explanations and reputable educational resources. It combines Elsevier's vast collection of peer-reviewed medical textbooks and materials with the Osmosis visual learning approach, providing responses that are evidence-based, properly cited, and linked to pertinent videos, diagrams, and study aids. This innovative tool allows students to inquire in real time without disrupting their study routine, offering straightforward explanations in accessible language along with direct citations to the original sources for validation. Unlike many platforms that depend on open web data, Osmosis AI functions within a defined "walled garden" of carefully selected medical content, minimizing the occurrence of inaccuracies and ensuring alignment with the educational standards for teaching and assessment in the medical field. As a result, students can engage in a more focused and reliable learning experience that enhances their understanding of complex topics.
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