Our Proven 7-Stage Workflow Methodology
At Axonate Tech, we have developed a comprehensive, systematic workflow methodology that ensures exceptional quality, timely delivery, and continuous improvement across all data annotation projects.
Our structured approach combines industry best practices, advanced technology, and rigorous quality controls to consistently achieve 99.5% accuracy rates.
Start Your Project1. Planning
Comprehensive requirement analysis
2. Data Collection
Secure data ingestion and preparation
3. Annotation
Expert annotation with AI assistance
4. Quality Check
Multi-level quality assurance
5. Delivery
Secure delivery in specified formats
6. Feedback
Client review and refinement
7. Continuous Improvement
Process optimization and learning
End-to-End Process Excellence
1. Project Planning
Comprehensive requirement analysis and strategic planning phase
2. Data Collection
Secure data ingestion and preparation for annotation
3. Annotation
Expert annotation execution with AI-assisted tools
4. Quality Check
Multi-level quality assurance and validation
5. Delivery
Secure delivery in client-specified formats
6. Feedback
Client review and iterative refinement
7. Continuous Improvement
Process optimisation and knowledge capture
Stage 1: Project Planning
Every successful project begins with thorough planning. Our team works closely with clients to understand requirements, define success metrics, and establish clear project parameters.
Requirements Analysis
- • Detailed consultation with stakeholders
- • Understanding data types and use cases
- • Defining annotation taxonomies and guidelines
- • Identifying technical and quality requirements
Resource Allocation
- • Team selection based on domain expertise
- • Technology platform configuration
- • Timeline and milestone planning
- • Budget and resource optimisation
Documentation
- • Creating detailed annotation guidelines
- • Developing standard operating procedures
- • Establishing quality benchmarks
- • Defining communication protocols
Security Setup
- • Data protection agreements and NDAs
- • Secure environment configuration
- • Access control implementation
- • Compliance requirement verification
Stage 2: Data Collection
Secure data ingestion and preparation phase ensuring data integrity whilst maintaining strict confidentiality and compliance with regulatory requirements.
Secure Transfer
Encrypted data transfer through secure channels, with audit trails and access logging for complete traceability.
Data Validation
Verification of data completeness, format consistency, and quality checks before processing begins.
Data Organisation
Systematic categorisation, indexing, and preparation for efficient annotation workflows.
Stage 3: Annotation
Our expert annotators leverage advanced tools and domain knowledge to deliver precise, consistent annotations whilst adhering to project-specific guidelines.
Expert Execution
Trained specialists with domain expertise perform annotations following detailed guidelines and best practices.
- • Domain-specific annotator assignment
- • Comprehensive guideline training
- • Real-time collaboration and support
AI-Assisted Tools
Proprietary platforms with AI assistance accelerate annotation whilst maintaining accuracy and consistency.
- • Pre-annotation automation
- • Consistency checks and suggestions
- • Productivity optimisation features
Stage 4: Quality Check
Our rigorous multi-tier quality assurance process ensures 99.5% accuracy through systematic validation, peer review, and automated quality checks.
Level 1: Peer Review
Cross-verification by fellow annotators ensuring consistency and catching obvious errors early in the process.
Level 2: QA Team Audit
Dedicated quality analysts perform detailed audits using statistical sampling and comprehensive checklists.
Level 3: Final Validation
Senior quality managers conduct final validation before delivery, ensuring complete adherence to requirements.
Stage 5: Delivery
Secure, timely delivery of annotated data in client-specified formats with comprehensive documentation and metadata.
Format Conversion
Data delivered in required formats (JSON, XML, CSV, COCO, Pascal VOC, etc.) with proper structure and validation.
Secure Transmission
Encrypted transfer via secure channels (SFTP, API, cloud storage) with delivery confirmation and verification.
Stage 6: Feedback
Client review phase with iterative refinements ensuring complete satisfaction and alignment with project objectives.
Client Review
Structured review process with clear communication channels for feedback and clarifications.
Iterative Refinement
Rapid incorporation of feedback with re-annotation and validation as needed for perfection.
Final Approval
Formal sign-off process ensuring all requirements met and client satisfaction achieved.
Stage 7: Continuous Improvement
Post-project analysis and knowledge capture drive ongoing process optimisation and team capability enhancement.
Performance Analysis
- • Metrics review and trend analysis
- • Identifying improvement opportunities
- • Benchmarking against industry standards
- • ROI and efficiency assessment
Knowledge Management
- • Documenting lessons learnt
- • Updating standard operating procedures
- • Sharing best practices across teams
- • Building reusable frameworks and tools
Ready to Experience Our Methodology?
Discover how our proven 7-stage workflow methodology can deliver exceptional quality and accuracy for your data annotation projects.