Integration Guide Validation Pilot Proposal Data & Compliance ROI Model

Manufacturing Integration Guide

Connect your quality management system to QLM in 3 API calls. From inspection check library to optimized quality assessment in under an hour.

Overview

QLM is a check selection engine that sits between your quality inspection library and your production floor operators. You send us your inspection checks and a part profile. We return the checks most likely to detect real defects in the fewest steps. Your MES and QMS stay in control of execution — we optimize which checks get run and in what order.

Prerequisites

  • ✓API Key — Sandbox keys are free and available immediately. Production keys require a signed agreement.
  • ✓HTTPS — All API communication is encrypted. HTTP requests are rejected.
  • ✓JSON — All requests and responses use Content-Type: application/json.
  • ✓Inspection Library — At minimum, 10 quality inspection checks in the format described below. Recommended: 100+ for meaningful selection optimization.

Quality Inspection Check Format

This is the most important section. Your inspection check library is the foundation of everything QLM does. The better your check metadata, the faster the engine calibrates and the more precise the quality assessment.

Minimum Viable Check

The simplest quality inspection check that QLM can work with:

JSON — Minimum Check
{
  "check_id": "DIM-BORE-001",
  "category": "dimensional",
  "severity": "critical",
  "description": "Verify bore diameter within +/- 0.005mm tolerance",
  "estimated_time_seconds": 30,
  "prerequisites": [],
  "spc_control_limits": {
    "ucl": 25.005,
    "lcl": 24.995,
    "target": 25.000
  }
}

Full Check Schema

All available fields, including optional metadata that improves selection quality:

JSON — Full Check Schema
{
  "check_id": "string (required)",
  "category": "string (required) — dimensional | surface | material | functional | visual",
  "severity": "string (required) — critical | major | minor | informational",
  "description": "string (required) — what the check verifies",
  "estimated_time_seconds": "int (optional) — expected execution time",
  "prerequisites": ["check_id"] // optional — checks that must pass first,
  "spc_control_limits": {
    "ucl": "float (optional) — upper control limit",
    "lcl": "float (optional) — lower control limit",
    "target": "float (optional) — nominal target value"
  },
  "compliance_frameworks": ["ISO-9001-8.6", "FDA-cGMP"] // optional,
  "measurement_tool": "string (optional) — cmm | caliper | profilometer | spectrometer | visual",
  "false_positive_rate": "float 0.0-1.0 (optional) — historical false rejection rate",
  "detection_confidence": "float 0.0-1.0 (optional) — null for auto-calibration",
  "defect_cost": "string (optional) — scrap | rework | recall | warranty"
}

Bulk Upload Formats

You can upload your inspection check library in any of these formats:

JSON Array Array of check objects in a single file
CSV Columns matching the schema fields
JSONL One JSON check object per line
1

Quality Inspect: Optimized Incoming Inspection

Run an optimized inspection against an incoming part or batch. Send us the part profile and we return the inspection checks most likely to detect real defects, ranked by expected information gain about part quality.

HTTP Request
POST /v1/manufacturing/quality/inspect
X-API-Key: your-api-key
Content-Type: application/json

Request Body

JSON — Quality Inspect Request
{
  "part": {
    "part_id": "BRG-4420-REV-C",
    "part_family": "bearing_housing",
    "supplier_id": "SUP-0087",
    "lot_id": "LOT-2026-04-0812"
  },
  "framework": "iso_9001",
  "num_checks": 10,
  "objective": "quality_confidence"
}

Response

JSON — Quality Inspect Response
{
  "assessment_id": "insp_a3b8c2f1...",
  "status": "completed",
  "selected_checks": [
    {"check_id": "DIM-BORE-001", "rank": 1, "expected_value": 0.96},
    {"check_id": "SURF-RA-004", "rank": 2, "expected_value": 0.91}
  ],
  "quality_confidence": 0.68,
  "timestamp": "2026-04-08T14:32:00Z",
  "engine_version": "1.0.0"
}
2

Operator Competency: Start Certification Session

Start an adaptive certification session for an operator. QLM selects scenarios that maximize information gain about the operator's competency, reaching a reliable pass/fail determination in fewer questions than a fixed-form exam.

HTTP Request
POST /v1/manufacturing/competency/start
X-API-Key: your-api-key
Content-Type: application/json

Request Body

JSON — Competency Start Request
{
  "operator_id": "OP-1142",
  "certification_type": "incoming_inspection",
  "competency_domains": ["dimensional", "surface", "material"],
  "pass_threshold": 0.80,
  "max_scenarios": 25
}

Response

JSON — Competency Start Response
{
  "session_id": "cert_d4e5f6a7...",
  "status": "in_progress",
  "first_scenario": {
    "scenario_id": "SCEN-DIM-042",
    "domain": "dimensional",
    "description": "Measure bore diameter on bearing housing using CMM",
    "expected_value": 0.92
  },
  "estimated_scenarios": 15,
  "timestamp": "2026-04-08T14:35:00Z",
  "engine_version": "1.0.0"
}
3

Safety Configure: Continuous Safety Monitoring

Configure continuous safety monitoring for a production line. QLM selects the safety checks most likely to detect emerging hazards based on real-time production conditions and historical incident patterns.

HTTP Request
POST /v1/manufacturing/safety/configure
X-API-Key: your-api-key
Content-Type: application/json

Request Body

JSON — Safety Configure Request
{
  "line_id": "LINE-A3-MACHINING",
  "hazard_categories": ["mechanical", "chemical", "ergonomic"],
  "monitoring_interval_minutes": 30,
  "compliance_framework": "osha_general_industry",
  "num_checks_per_interval": 5
}

Response

JSON — Safety Configure Response
{
  "monitoring_id": "mon_e7f8a9b0...",
  "status": "active",
  "initial_checks": [
    {"check_id": "SAFE-GUARD-012", "expected_value": 0.94},
    {"check_id": "SAFE-LOCKOUT-003", "expected_value": 0.89}
  ],
  "next_check_at": "2026-04-08T15:02:00Z",
  "timestamp": "2026-04-08T14:32:00Z",
  "engine_version": "1.0.0"
}

Next Steps

Step Action Timeline
1. Sandbox Access Request a free sandbox API key to test with your own inspection check library Same day
2. Run a Pilot First 10,000 inspections are free. See our Pilot Proposal for details. 1-2 weeks
3. Review Validation See our validation methodology for quality assessment accuracy Self-service
4. Contact Sales For production contracts, volume pricing, and enterprise SLAs Schedule a call

Ready to Get Started?

Request a free sandbox API key and test QLM with your own quality inspection library today.

Request Sandbox Access