StackAI
StackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment.
Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected.
AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more.
Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production.
StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs.
A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires.
By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.
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Interfacing Integrated Management System (IMS)
Interfacing’s IMS is an AI-enabled platform that combines business process modeling, quality management, controlled documentation, and governance/risk capabilities in a single hub. Organizations rely on IMS to document and automate workflows, maintain versioned records, manage risk programs, and keep compliance activities aligned with regulatory requirements through full lifecycle traceability.
Developed for industries where accountability and oversight are essential, including aerospace, pharma/biotech, finance, and government, IMS delivers operational insight, workflow automation, and intelligent recommendations that help reduce risk and improve quality outcomes. The platform holds ISO 27001 certification and includes 21 CFR Part 11 validation, supporting secure use in high-compliance environments. Additional capabilities include low-code app creation, AI-based process mining, audit management, CAPA and training modules, and performance dashboards. AI improves governance accuracy, strengthens compliance posture, and supports ongoing improvement.
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Imagia EVIDENS
EVIDENS is a cutting-edge AI platform designed to streamline the identification of digital cohorts, enhancing research capabilities and fostering collaboration while allowing insights to be shared across vast hospital data sets. Users can quickly annotate and transform data into formats compatible with AI, enabling them to filter populations based on diverse clinical outcomes or demographic characteristics efficiently. The platform supports extensive keyword filtering, empowering users to train AI models for precise searches. In addition, intelligent AI tools assist users in exploring and setting criteria for identifying cohorts. The automation of the analysis process through AI model training allows for the rapid categorization of data into well-defined groups. EVIDENS produces AI-ready cohorts that facilitate the testing of clinical hypotheses in various research studies. Users can easily track the progress and tasks of all their projects and collaborators, as well as engage with activities related to their specific research interests. Furthermore, the platform includes collaborative tools that encourage simultaneous efforts in the creation, training, and validation of AI models, thereby nurturing a thriving research environment. Overall, EVIDENS not only simplifies the research process but also enhances the effectiveness and efficiency of all participants involved, making it a pivotal tool in contemporary research settings. By leveraging such advanced capabilities, researchers can unlock new possibilities in understanding complex medical data.
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Savana
Savana is an advanced clinical intelligence platform that employs artificial intelligence to transform unstructured text from electronic medical records into meaningful real-world evidence through advanced natural language processing methods. Since its inception in 2014, Savana has successfully structured and analyzed billions of clinical documents across diverse languages and regions, uncovering insights that were previously hidden within healthcare data. Its EHRead NLP models power tools for both anonymization and pseudonymization, efficiently managing extensive amounts of structured and unstructured data, having processed in excess of 35 million documents to this point. By delivering actionable, research-quality evidence to hospitals, researchers, and health systems, Savana bolsters precision medicine projects, undertakes epidemiological studies—including predictive analyses linked to COVID-19—and enhances overall clinical data strategies, thereby cementing its status as a leading contributor to Health Economics and Outcomes Research (HEOR) in Europe. Furthermore, Savana's cutting-edge approach not only transforms data analysis within healthcare but also fosters improved decision-making processes, which can significantly lead to better patient outcomes and a more effective healthcare system. Through continued innovation, Savana is setting new standards for clinical data utilization and insight generation.
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