Cognicsys

The company reports more than 25 years of technology experience and more than 300 technology professionals. Cognic was founded in 2011 and has expanded from software engineering and technology delivery into enterprise applications, mobile development, automation, data, business intelligence, and AI.

Leadership

Cognic Systems is led by three Co-Founders:

• Gyanendra Singh — Co-Founder, Technology and Delivery: Leads technology strategy, AI engineering, software development, AI and automation, project delivery, and system integration.
• Alexander Wolf — Co-Founder, Sales and Business Development: Leads sales, business development, client relationships, business consulting, technology solutions, and partnerships.
• Nishant Sinha — Co-Founder, Sales and Marketing: Leads marketing, AI strategy, market development, technology partnerships, and growth initiatives.

Industries Served

Cognic works across healthcare, real estate, insurance, financial services, manufacturing, and energy and utilities. It also works with technology companies, agencies, and consultancies that need engineering capacity, AI expertise, automation capabilities, or white-label development support.

Contact

The website lists Cognic's location as the United States and provides the phone number +1512843-3234. Visitors can book a call or talk to the Cognic team.

AI and Automation

• AI Agents: Agents for defined business tasks, knowledge retrieval, workflow assistance, and multi-step processes.
• AI Automation: Automation combining AI, workflows, APIs, RPA, and business rules.
• Document AI: Extraction, classification, validation, and processing of information from business documents.
• RPA and Workflow Automation: Automation across applications, portals, desktop software, legacy systems, documents, and operational workflows.

Software and Data

• Generative AI and RAG: AI applications using private company knowledge, documents, databases, and business data.
• Custom Software: Web applications, mobile applications, portals, internal business systems, APIs, and enterprise platforms.
• Data and BI: Data engineering, analytics, reporting, dashboards, KPI monitoring, Power BI, and financial analytics.
• System Integration: Connecting new technology with existing business systems and workflows.

Cognic also provides technology partnerships, engineering support, and white-label development for technology companies, agencies, and consultancies.

Delivery Stages

1. Discover: Understand the business process, users, systems, data, and objectives.
2. Define: Identify the technology approach and define the solution scope.
3. Design: Create architecture, workflows, interfaces, and technical specifications.
4. Build and Integrate: Develop, integrate, test, and refine the solution.
5. Deploy: Move the solution into production with documentation and support.
6. Evolve: Improve the solution as business requirements change.

Cognic emphasizes collaborative partnership, secure and reliable delivery, scalable solutions, transparent communication, milestones, and clear expectations. Its support can span strategy, architecture, AI engineering, automation, development, integration, quality assurance, deployment, and ongoing improvement.

Security Capabilities

• Encryption in transit and at rest
• Customer data isolation and separate data boundaries
• Role-based access control
• Audit logging for system and user activity
• Private cloud and VPC deployment options
• Configurable retention policies
• Secure API integrations
• Human-in-the-loop controls for sensitive workflows

Cognic states that customer data remains under the customer's control. Its responsible AI practices include customer data isolation, configurable retention policies, secure model and API access, auditability for AI-powered workflows, and no client data used for shared model training.

The website references support or alignment, where applicable, for HIPAA, SOX, GDPR, CCPA/CPRA, SOC 2 requirements, NIST frameworks, and PCI DSS.