Dual-Layer HITL Review
The Lifewood QA process: dual-layer human-in-the-loop review, 95% accuracy threshold, audit trail with timestamped approvals. Built for enterprise compliance and procurement.
Why dual-layer matters
Single-layer review catches obvious mislabels but misses systematic patterns: a reviewer who consistently mis-classifies a specific edge case, a guideline ambiguity that creeps in across a batch, or a culturally miscalibrated label in a multilingual program. Dual-layer review — a first independent pass and a second audit pass — surfaces these patterns before delivery.
The 95% accuracy threshold
Lifewood programs operate against a 95% accuracy SLA enforced through statistical sampling against per-program calibration sets. AV programs operate at a 99.9% benchmark. Below-threshold batches are rejected and reworked at Lifewood's cost. Customers receive a per-batch quality report with every delivery.
Audit trail and timestamped approval
Every approval is captured with reviewer identity, calibration version, timestamp, and decision rationale. This audit trail is appropriate for enterprise procurement, internal compliance review, and external regulatory audit in YMYL — financial, medical, legal — verticals.
QA leadership
Lifewood's quality systems, process design, and production methodology are owned by Chief Knowledge Officer Eric Kang, who began his career at Motorola, rising to Design Team Leader across mechanical design, electrical engineering, software, and manufacturing. Day-to-day QA is run by senior practitioners across our Cebu, Malaysia, and Hong Kong delivery centers. Per-reviewer credentials are available on request as part of enterprise procurement onboarding.
Related services & resources
- Delivery MethodologyThe six-stage pipeline from scoping through post-delivery audit.
- AI Data ValidationIndependent dual-layer QA against a contractual 95%+ accuracy SLA.
- AI Data ServicesAnnotation, RLHF, collection, and validation across 50+ languages.
- Enterprise LLM Training DataInstruction, preference, and domain corpora built for fine-tuning.
- Autonomous Driving AnnotationLiDAR, camera, and radar perception labeling for AV stacks.
- Multilingual Data CollectionNative-speaker collection across 50+ languages and dialects.
- AIGC ServicesAI-generated video, voice, and script production under human direction.
- Human-in-the-Loop AIGCWhere human review belongs in a generative production pipeline.
- Case StudiesDelivery outcomes across LLM training, AIGC, AV, and AEO/GEO programs.
- AI Glossary30+ defined terms across AEO, GEO, AIGC, and data operations.
- FAQDirect answers to the questions buyers and answer engines ask most.
- ContactScope a program, request a sample, or book a technical call.
Audit our QA process
We share calibration sets, sampling protocols, and reviewer credentialing under NDA for enterprise procurement diligence.
Request a QA briefing