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Electronics & High Tech

Higher Yields.
Faster Cycles.
Smarter Lines.

KFactory helps electronics manufacturers optimize high-mix production, maximize SMT line performance, and improve test coverage - turning yield loss into yield gain.

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Rapid Product Cycles

New SKUs every quarter means constant changeovers. KFactory accelerates NPI with data-driven setup optimization and recipe management.

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Yield Optimization

Even 1% yield improvement is worth millions. KFactory uses AI-driven process analytics to identify root causes of yield loss in real time.

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Component Traceability

Thousands of components per board demand rigorous traceability. KFactory links every reel, feeder, and placement to the finished product.

0%
Yield improvement
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Faster changeovers
0%
Test escape reduction
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Time to go live
Platform

Built for high-mix electronics manufacturing

From SMT placement to AOI escapes, KFactory binds every line, recipe, and supplier to one operating fabric.

01

Connect

Stream from SMT, AOI/SPI, X-ray, ICT/FCT, and reflow ovens - pair it with MES, ERP, and PLM so every board's traveler tells one story.

IoT Integration

Stream from pick-and-place, reflow, AOI/SPI, X-ray, and ICT/FCT stations via SECS/GEM, OPC UA, MQTT, and Modbus - feeders, nozzles, and stencils included.

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IT System Integration

Sync MES, ERP (SAP, IFS, Epicor), PLM, and PCN/EOL feeds so BOMs, recipes, and travelers stay in lockstep with the floor.

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02

Plan

Forecast SKU demand, sequence builds for minimum changeover, and keep reels and long-lead chips landing on time.

Forecast Demand With AI

Anticipate quarterly NPI ramps, EOL phase-outs, and PCN-driven respins - no more last-minute panic builds.

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Optimize Production Scheduling

Sequence boards by family, paste type, and feeder profile - recover hours per shift on changeovers and matrix builds.

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Optimize Purchasing & Inventory

Right-size reels, MSL-controlled stock, and long-lead semis - slash carrying costs without starving the line.

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Evaluate Supplier Performance

Score component vendors on date-code compliance, DPPM, RoHS/REACH conformity, and lead-time variance.

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03

Operate

Live OEE, predictive maintenance, AOI-grade quality, and a knowledge layer that survives the next NPI.

Production

Track OEE, first-pass yield, and DPMO across every SMT line - by shift, family, and recipe.

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Asset Maintenance

Predict pick-head, reflow zone, and AOI lens degradation before a panel slips defective.

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Tool Maintenance

Track feeder cycles, nozzle wear, stencil tension, and squeegee life - replace on data, not on guesswork.

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Quality

Defect Pareto by IPC-A-610 / J-STD-001 class - root-cause solder, lifted leads, tombstones, and BGA voids in minutes.

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Continuous Improvement

Capture every kaizen, ECO, and 5-Why so the next ramp starts where the last one ended.

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Knowledge Management

Process recipes, troubleshooting playbooks, and operator SOPs - all searchable, all versioned.

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Vision Applications

Augment AOI with deep-learning vision for missing components, polarity flips, and cosmetic flaws no template catches.

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04

Accelerate

AI agents that run scenario sweeps, escalate anomalies, and keep humans in the loop on every governance call.

Virtual Engineers

AI agents that triage AOI escapes, propose feeder swaps, and flag DfM risks before pilot run.

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Autonomous Optimisation

Closed-loop tuning of paste volumes, reflow profiles, and pick speeds - gains that compound shift over shift.

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Team Workflows

From defect alert to ECO sign-off in Teams, Slack, or your MES - stop chasing emails, start closing loops.

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AI Safety & Governance

Audit trails, model versioning, and human-in-the-loop checkpoints so AI decisions stay explainable to customers and auditors.

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05

Analyse

Yield, cost, and sustainability in the same view - model the next NPI before you commit a single reel.

Track Energy & Sustainability

Per-board kWh, reflow oven heat profiles, and Scope 1–3 footprint - ready for CSRD and customer scorecards.

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Model Financial Scenarios

What does a 2% yield gain or a tariff shift cost? Stress-test margin, cash, and capacity in seconds.

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Analytics

Drill from board-serial to feeder, lot, and supplier - answer "why this defect, this shift?" without exporting to Excel.

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Check use cases

Eight ways KFactory delivers across the line

Lift first-pass yield

Correlate paste deposition, reflow profiles, and placement data to find the 1% gain hiding in your DPMO.

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Augment AOI with computer vision

Deep-learning models catch missing parts, polarity flips, and cosmetic defects template AOI misses.

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Tame high-mix changeovers

Sequence builds by feeder profile and paste type - recover shift-hours every changeover.

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Predict P&P, reflow, AOI failures

Vibration, thermal, and cycle-count signatures forecast pick-head, oven, and lens degradation.

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Keep SMT lines running

Catch feeder jams, vacuum loss, and conveyor stalls before they cost a panel.

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Manage reels, BOMs, long-lead chips

Right-size MSL-controlled stock, smooth allocation cycles, plan around EOL announcements.

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Score component suppliers

Track date-code compliance, DPPM, lead-time variance, and PCN response by vendor.

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Keep process-engineer know-how

Capture reflow tuning logic, tribal recipe tweaks, and DfM lessons before they walk out the door.

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Case Study

Computer vision lifts manual assembly to 99%+ recognition at a German electrical engineering leader

A leading German electrical engineering manufacturer - known for connector strips, power distribution units, and high-performance connection points - partnered with KFactory to bring AI-powered computer vision to its manual assembly lines.

Cameras placed strategically along the line capture every product in real time. Vision models - retrained continuously on Microsoft Azure - identify and track each unit without slowing operators. New product categories are taught in under 30 minutes, and manual paperwork for quality and shift reporting was eliminated entirely.

"By implementing a system that can precisely identify and track every product without impacting operator work, we overcame the challenges of no real-time visibility and no centralized data on efficiency. Real-time image capture, automated classification, and backend data consolidation created a secure, reliable, and scalable solution that drastically improved production and quality."

- Adrian Dima, Co-founder & Technical Lead, KFactory

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Key Results

99%+
Automatic product recognition accuracy
0
Manual data collection - fully automated
< 30 min
To learn a new product category
Azure
Microsoft Azure AI infrastructure

Ready to maximize your yield?

See how KFactory maps to your electronics manufacturing operations in a 30-minute personalized demo.

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