Human-in-the-Loop — Accuracy, compliance, and control
Expert reviewers verify, correct, and continuously improve AI outputs. Confidence-based routing, SLAs, and full audit trails keep production safe and on-brand—8×5 / 16×5 / 24×7 coverage available.
Not every output should auto-ship. HITL wraps your agents/workflows with human QA and policy checks where it matters—so the certain flows fly, the borderline flows get reviewed, and the risky flows require approval.
CAPABILITIES / FEATURES
Confidence routing
Auto-pass, Human-review, or Mandatory approval.
Error typing & feedback
Hallucination/bias/safety classification feeds fixes.
Quality you can prove
Multi-pass QC, consensus checks, gold validation.
TAT with SLAs
Priority items cleared in 5–15 minutes.
Compliance-ready
PII-safe review; SOP, policy, and regulatory checks.
Red-team hardening
Jailbreak/adversarial tests; deployable guardrails.
WHAT WE BUILD
Annotation (Text · Image · Video · Audio)
Bounding box (2D/3D) • Polygon • Keypoint • Segmentation • 3D/LiDAR • Text (entity/intent/sentiment/classification) • Speech (transcription, speaker labels). Domain-trained annotators with multi-pass QC.
Evaluation (QA & Compliance Oversight)
Human scoring/correction for accuracy and safety; SOP/policy checks; confidence thresholds; error typing; feedback loops to retrain or tune prompts/thresholds.
Process
Audit
Blueprint
Pilot (Go-Live)
ScaleOps
DELIVERABLES
- HITL routing design (thresholds, gates, escalations)
- Reviewer playbooks (SOPs, checklists, compliance policies)
- Quality dashboard (accuracy, TAT, fallout, escalations)
- Training data (labels + human corrections)
- Guardrail pack (filters, prompts, blocks, red-team report)
ENGAGEMENT MODELS
- Task Pods — Pay per annotation/evaluation with QC.
- Dedicated Desk — 8×5 / 16×5 / 24×7 staffed reviewers with SLAs.
- Hybrid Pods — Combine annotation + evaluation + red-team cycles.
KPIs / RESULTS
+20–40% accuracy on critical workflows
<1% error on human-approved outputs
5–15 min TAT on priority items
90%+ fewer successful jailbreaks after guardrails
FAQ
No—we operate the full human-review layer around production agents/workflows.
By confidence: high → autopass, medium → human check, low/high-risk → mandatory approval.
Yes—policy mapping, PII-safe review, and auditable logs.
Corrections generate training data; thresholds/prompts get tuned in weekly cycles.
Yes—Task Pods or Dedicated Desk with on-demand expansion.




