Passwork is a corporate password manager built for organizations that take security seriously, available as a self-hosted platform or a secure cloud service. Designed and headquartered in Barcelona, Spain, Passwork meets GDPR, NIS2, ENS, and other European regulatory standards by default.
The self-hosted version keeps all credentials on your own server under the full control of your system administrators. The cloud option is hosted in secure German data centers. Both deployment models rely on client-side AES-256 encryption and zero-knowledge architecture, ensuring your data is never accessible to third parties.
Passwork holds ISO/IEC 27001 certification. Enterprises rely on it for secure password sharing, privileged access management, and centralized credential governance.
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SCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years.
Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, and UAE.
SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace.
What makes SCIKIQ different is Contextual Intelligence.
SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents.
Why enterprises choose SCIKIQ
AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming
Proven production deployments across Manufacturing retail, airlines, logistics, BFSI
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Pega Platform
Act swiftly now and prepare for whatever lies ahead. Regardless of your work environment, Pega simplifies collaboration through a user-friendly and inclusive method of application development. Adapt promptly to evolving demands by integrating users on a single platform that utilizes low-code tools alongside developer-grade solutions. Encourage innovation and oversee low-code initiatives on a large scale within your organization through a single, all-encompassing dashboard. Enhance efficiency by providing business users, developers, and IT with the necessary resources exactly when and where they are needed. Speed up the creation of applications by swiftly and effortlessly defining essential app components. Manage and operationalize low-code solutions effectively across your organization with one unified dashboard. Equip IT teams to ensure that every application is developed within the organization's established guidelines. Offer application experiences that are relevant in the present while remaining poised for future scalability. Pega's user experience framework is specifically designed to cater to the needs of your developers, employees, and customers, ensuring a seamless interaction for all stakeholders involved. This approach not only fosters collaboration but also drives the overall success of your projects.
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COBOL Colleague
COBOL Colleague revolutionizes outdated COBOL systems by employing deterministic AI and knowledge graph technology to decode, document, and clarify vital business logic with an accurate understanding, eliminating any room for hallucinations or uncertainty. It effectively translates legacy code into easily understandable Business Functions, providing teams with a trustworthy framework to comprehend their systems' operations, identify the location of business rules, and assess the impact of potential changes. Rather than dedicating months to the manual documentation of systems, COBOL Colleague automates the preservation of institutional knowledge by dissecting code, thereby unveiling comprehensive business functions that encompass every derivation, condition, and dependency influencing each output field. Its unique analysis unravels intricate COBOL constructs like REDEFINES, CALLS, PERFORMS, and GOTOs, separating data transformation logic and generating natural language documentation that can be easily shared among both technical and business stakeholders. This innovative approach not only enhances understanding but also streamlines communication between teams, ultimately fostering a more efficient development process.
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