Service Delivery Policy

Effective Date: January 6th, 2025 · Last Updated: January 6th, 2025

At DataCortex IQ (OPC) PVT LTD ("we," "us," "our"), we are committed to delivering high-quality AI consulting and data engineering services efficiently and professionally. This Service Delivery Policy outlines our approach to project delivery, timelines, and client expectations.

1. Service Delivery Overview

All services provided by DataCortex are professional consulting services delivered remotely. Our services include:

• AI strategy consulting and technical advisory
• Custom AI automation and GenAI system development
• Data engineering and AI-ready pipeline architecture
• AI training data collection and data acquisition services
• Data enrichment platforms with waterfall API integration
• Decision intelligence dashboards and analytics
• Machine learning model development and deployment
• Cloud ML infrastructure design and optimization
• LLM-based data processing and data categorization
• Training and knowledge transfer sessions

2. Delivery Methods and Channels

2.1 Digital Delivery

• Cloud Platforms: Solutions deployed on secure cloud infrastructure and cloud ML platforms
• Code Repositories: Source code and documentation delivered through secure Git repositories
• Documentation: Technical documentation, user guides, and reports delivered via secure file sharing
• Virtual Meetings: Strategy sessions, reviews, and training conducted via video conferencing
• Email Communications: Project updates, deliverables, and correspondence via encrypted email

2.2 Access and Credentials

• Secure access credentials provided through encrypted channels
• Multi-factor authentication implemented where applicable
• Role-based access controls for different stakeholders
• Regular credential rotation and security reviews

3. Project Delivery Timeline

3.1 Standard Delivery Phases

• Discovery & Planning: 1-2 weeks for requirements gathering and project scoping
• Design & Architecture: 1-2 weeks for solution design and technical planning
• Development & Implementation: 2-8 weeks depending on project complexity
• Testing & Optimization: 1-2 weeks for quality assurance and performance tuning
• Deployment & Training: 1 week for go-live and knowledge transfer
• Support & Optimization: Ongoing as per service agreement

3.2 Timeline Factors

Delivery timelines may vary based on:

• Project scope and complexity
• Data availability and quality
• Client responsiveness and feedback cycles
• Third-party integrations and dependencies
• Regulatory and compliance requirements
• Resource availability and team allocation

4. Communication and Project Management

4.1 Regular Updates

• Weekly Status Reports: Progress updates, milestones achieved, and upcoming activities
• Milestone Reviews: Formal reviews at key project checkpoints
• Issue Escalation: Immediate notification of any blockers or risks
• Change Requests: Formal process for scope changes and approvals

4.2 Collaboration Tools

• Project management platforms for tracking and transparency
• Secure communication channels for real-time collaboration
• Document sharing platforms with version control
• Video conferencing for meetings and presentations

5. Quality Assurance and Testing

5.1 Quality Standards

• Comprehensive testing of all AI models and data pipelines
• Performance benchmarking against agreed metrics
• Security and compliance validation
• User acceptance testing with client stakeholders
• Documentation review and validation

5.2 Delivery Acceptance

• Formal delivery acceptance process with client sign-off
• Demonstration of functionality and performance
• Handover of documentation and access credentials
• Training completion and knowledge transfer verification

6. Support and Maintenance

6.1 Post-Delivery Support

• Warranty Period: 30-90 days of bug fixes and minor adjustments (as specified in service agreement)
• Technical Support: During business hours via agreed communication channels
• Documentation: Comprehensive user guides and technical documentation
• Knowledge Transfer: Training sessions for client teams

6.2 Ongoing Services

• Monitoring and maintenance services available under separate agreements
• Performance optimization and scaling support
• Feature enhancements and updates
• Strategic consulting for future developments

7. Delivery Challenges and Contingencies

7.1 Potential Delays

Delivery may be delayed due to:

• Incomplete or changing requirements
• Data quality issues or access restrictions
• Third-party service outages or limitations
• Regulatory or compliance changes
• Force majeure events

7.2 Risk Mitigation

• Regular risk assessments and mitigation planning
• Backup plans for critical dependencies
• Flexible resource allocation and team scaling
• Proactive communication about potential issues

8. International Service Delivery

8.1 Global Capabilities

• Services delivered to clients worldwide
• Multi-timezone support and coordination
• Compliance with local data protection regulations

8.2 Cross-Border Considerations

• Data residency and sovereignty requirements
• Export control and technology transfer compliance
• Currency and payment processing variations
• Legal and regulatory differences

9. Service Level Commitments

9.1 Response Times

• Initial Inquiry Response: Within 24 hours during business days
• Project Communication: Within 48 hours for non-urgent matters
• Critical Issues: Within 4 hours during business hours
• Emergency Support: Best effort response within 2 hours

9.2 Availability

• Business Hours: Monday-Friday, 9:00 AM - 6:00 PM IST

10. Intellectual Property and Deliverables

10.1 Deliverable Ownership

• Custom solutions become client property upon full payment
• Source code and documentation transferred to client
• Proprietary frameworks and methodologies remain our property
• Third-party licenses and dependencies clearly identified

10.2 Usage Rights

• Clients receive full usage rights for delivered solutions
• Modification and enhancement rights included
• Redistribution rights as specified in service agreements
• Support for future development and maintenance

11. Contact Information

For questions about service delivery, project status, or support requests, please contact us:

• Email: contact@datacortex.in
• Contact Form: https://datacortex.in/contact
• Business Hours: Monday-Friday, 9:00 AM - 6:00 PM IST