Passwork
Passwork is a corporate password manager deployed entirely on your own infrastructure. Built and headquartered in Barcelona, Spain, it was designed from the ground up to satisfy GDPR, NIS2, ENS, and related European compliance requirements.
Credentials are stored only on your servers. Double-layer AES-256 encryption — both server-side and client-side — backed by a zero-knowledge architecture keeps your data inside your perimeter, managed solely by your own administrators.
ISO/IEC 27001 certified. Enterprises across industries use Passwork to handle secure password sharing, privileged access management, and centralized credential governance — with full confidence that their data stays where it belongs.
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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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StarDrop
StarDrop™ is an all-encompassing software suite that offers cutting-edge in silico technology, all presented within an intuitive visual framework. By facilitating a smooth transition between up-to-date data, predictive modeling, and strategic decision-making for subsequent synthesis rounds, StarDrop™ enhances the discovery process's speed, efficiency, and overall productivity. Achieving a harmonious balance of various properties is crucial for the development of successful compounds. StarDrop™ effectively navigates the complexities of multi-parameter optimization, assisting users in identifying compounds with the greatest likelihood of success. Additionally, it conserves both time and resources by enabling the synthesis of fewer compounds and reducing the frequency of testing needed. As a result, researchers can focus their efforts more effectively, leading to more successful outcomes in their projects.
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alvaBuilder
AlvaBuilder is a cutting-edge molecular design platform that enables users to create novel chemical structures based on specific criteria, such as structural features, physicochemical properties, and modeling parameters. This versatile tool supports the development of brand new molecules from scratch or the alteration of existing compounds through fragment-based techniques and established rules.
Additionally, alvaBuilder integrates seamlessly with QSAR/QSPR workflows, allowing users to steer the molecular generation process by utilizing predictive models, defining descriptor ranges, and specifying desired properties. It proves to be particularly advantageous for medicinal chemistry applications, lead optimization, and virtual screening, effectively exploring chemical space while maintaining both chemical feasibility and clarity.
Tailored for both academic research and industrial applications, alvaBuilder serves as a crucial tool for projects that demand molecular generation that is both transparent and reproducible, thus establishing itself as a significant resource in the drug discovery arena. Furthermore, by equipping researchers with such capabilities, alvaBuilder significantly boosts the potential for groundbreaking advancements in the realm of chemical research and development. Its user-friendly interface and robust functionalities make it an indispensable asset for scientists striving to innovate in the field.
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