Haast is an AI-powered compliance engine that helps enterprises eliminate manual marketing reviews and move faster with confidence.
It uses AI agents to automatically detect and resolve regulatory and brand risks across content, websites, and social channels. By learning each company’s risk tolerance, Haast ensures consistent, policy-aligned decisions without slowing teams down. Marketers can check and fix content before it goes live, while legal teams gain faster, more reliable oversight without being overwhelmed by approvals. Haast works across text, images, PDFs, video, and web content, supporting both pre-launch checks and continuous monitoring of live assets. Embedded directly into existing workflows, it transforms compliance from a bottleneck into a scalable, automated system.
Learn more
A cloud LIMS that tracks samples, tests results, and manages inventory for life science research, industrial QC labs, and biotech/NGS. Includes regulatory support for CLIA and HIPAA, Part 11 and ISO 17025. The quality, security, traceability, and traceability for samples is crucial to a lab's success. Laboratory professionals can use the Lockbox LIMS system to manage their samples. They have full visibility of every step of the sample's journey from accession to long-term storage. LIMS analysis is more than just tracking results. Lockbox's multilayered sample storage and location management functionality lets you define your lab's storage structure using a variety location options: rooms and storage units, shelves and racks, boxes and boxes.
Learn more
Noah AI
Noah AI serves as an advanced research assistant powered by artificial intelligence, specifically designed for professionals in the life sciences sector, with the goal of automating and expediting intricate workflows in biomedical research, clinical development, and strategic commercial planning. It features an “Agent” mode that efficiently manages and implements multi-step tasks through intelligent web searches, accessing credible scientific databases like PubMed and FDA/NIH resources, summarizing influential research papers, extracting data from clinical trials, and producing high-quality reports, while a simpler “Search” mode provides quick and trustworthy access to summaries of domain-specific content. By integrating extensive medical and public health data, alongside AI-generated insights and real-time tracking of global research and development activities as well as conference intelligence, Noah AI empowers researchers, biotech investors, and healthcare professionals to transform questions into insights significantly faster than traditional methods. This innovative approach not only enhances productivity but also fosters a more informed decision-making process in the ever-evolving landscape of life sciences.
Learn more
Agatha
Agatha provides a comprehensive range of cloud-based solutions specifically designed for the life sciences sector, facilitating the centralized oversight of documents and processes related to clinical operations, quality assurance, regulatory compliance, and training activities. This platform caters to the workflows of biotech firms, pharmaceutical companies, medical device manufacturers, and contract research organizations by offering various modules, including eTMF (Inspection-Ready Master Trial File), Remote ISF (Investigator Site File) management, and tools for creating and approving standard operating procedures (SOPs) as well as managing quality documents related to CAPAs, deviations, and change controls. Additionally, Agatha enhances regulatory document handling, ensuring smooth document creation, review, approval, storage, and sharing within a single cohesive system. By promoting a paperless approach, it alleviates administrative burdens and bolsters data security, while being constructed on a global-compliance framework that meets critical standards such as 21 CFR Part 11, GDPR, and EU Annex 11. Ultimately, Agatha empowers life sciences organizations to optimize their operations and maintain compliance with industry regulations more efficiently.
Learn more
