Customer Journey

Workflow Sample For Data Annotation

  1. Ingest & Assess: We take your raw data, understand formats, quality, domain, risk.

  2. Pre-label & Automate: Use models to generate initial labels or suggestions.

  3. Human Review / Correction: Edge cases, ambiguous items, model uncertainties are handled by specialists.

  4. Quality Audits & Iteration: We run blind tests, flag error patterns, retrain labelers or models.

  5. Delivery & Monitoring: Final annotated datasets, performance metrics, drift monitoring, audit logs.

  6. Compliance Reporting: Provide lineage, redaction logs, consent audits, compliance summary.

Sample Customer Journey

  1. Discovery & Scope Alignment

  2. Pilot Project / PoC

  3. Scale-up & Model Integration

  4. Monitoring, Feedback, Iteration

  5. Compliance Audits & Reporting

  6. Ongoing Support & Evolution

Trust, Privacy & Compliance

At Elight AI, we treat trust as foundational—not optional.

  • Data Governance & Lineage: Every data point, correction, label is logged with traceability.

  • Privacy by Design: We embed techniques like anonymization, pseudonymization, redaction, and encryption.

  • Regulatory Compliance: Whether GDPR, CCPA, HIPAA, or sector-specific rules, our frameworks check and flag compliance issues.

  • Secure Infrastructure: Encrypted storage, access controls, audit trails, secure pipelines.

  • Ethics & Bias Mitigation: Ongoing bias audits, fairness checks, human oversight in critical segments.