Solutions
Kilnara helps automation teams absorb change across high-mix manufacturing and fulfillment — from model-year programs to weekly SKU churn and unpredictable parcels.
Choose the line profile that looks most like yours.
Model-year change without month-long robot rework.
Body, trim, and material-handling cells face new parts, fixture drift, and takt pressure. Kilnara lets teams rehearse changes in a physics-accurate twin and deploy validated policies before the line loses rate.
- Pain — launch ramps and engineering changes break tuned robot paths.
- Fit — simulate fixtures, part variation, and safety envelopes before shift start.
- Metric — reduce retune time from weeks to overnight validation cycles.
High-mix assembly that keeps up with SKU rotation.
Electronics lines need precise picks, tight tolerances, and fast product transitions. Kilnara generates synthetic data for new boards, trays, lighting, and occlusions before yield slips.
- Pain — small geometry and lighting changes cause perception drift.
- Fit — train on simulated micro-variations and validate force limits.
- Metric — protect first-pass yield while SKUs rotate weekly.
Fulfillment robots ready for the long tail of parcels.
3PL and warehouse cells handle unpredictable shapes, packaging, labels, and bin states. Kilnara creates edge-case scenes and validates grasp policies before the catalog changes again.
- Pain — new item shapes and occlusion degrade pick rates fast.
- Fit — generate parcel variants, clutter states, and failure cases nightly.
- Metric — improve pick success while keeping exception lanes clear.
Three ways teams start the loop.
Kilnara deployments are scoped around measurable production pain, not abstract transformation programs.
High-change pilot cell
Target one cell where product variation repeatedly causes retuning, exception handling, or missed rate.
Launch readiness
Use the twin to rehearse new parts, fixtures, and operating envelopes before a program goes live.
Fleet standard
Roll shared scenarios, gates, and telemetry practices across similar cells and sites.
Built for the teams accountable for automation outcomes.
Automation lead
Plan changeovers with quantified risk, approval records, and throughput evidence before production release.
Robotics engineer
Generate training data, compare candidate policies, and debug sim-to-real gaps from one loop.
Plant ops
Understand downtime risk, approve safe deployments, and track whether the line is improving.
How a solution rolls out.
Start with one high-change cell, prove the loop, then standardize across similar lines.
Map the cell and pain
Baseline throughput, downtime triggers, robot assets, sensors, and changeover patterns.
Build and calibrate the twin
Author the line model, connect telemetry, and validate against known production cycles.
Generate, train, validate
Create edge cases, retrain candidate policies, and gate them against safety and rate.
Deploy and expand
Release to the edge with rollback, monitor outcomes, and replicate the pattern.
Where Kilnara creates leverage quickly.
Changeover recovery
Retrain policies for a new part, fixture, package, or SKU without weeks of manual tuning.
Perception drift
Generate data for lighting, glare, label, texture, and camera-shift variations.
Grasp robustness
Stress-test grasps across shape, pose, material, and clutter changes before deployment.
Line launch rehearsal
Validate robot behavior before new equipment or model-year changes reach production.
Policy governance
Track who approved what, why it passed, and how to roll back safely.
Multi-site standardization
Use shared scenarios and gates to align similar cells across plants.
Kilnara gave our team a way to test change before it hit the line. The twin, validation gate, and edge rollback made robotics feel operational instead of experimental.
Connect the solution to your existing plant stack.
Kilnara works alongside robot controllers, PLCs, cameras, MES, quality systems, and data infrastructure. No rip-and-replace required.
View integrations- Recover uptime faster — minimize stalled tuning cycles after changeovers.
- Reduce real-world trial risk — test failures safely in simulation first.
- Improve engineering throughput — automate data generation and policy comparison.
- Standardize governance — one safety gate across teams and sites.
Value comes from fewer stalled changes and safer releases.
The best first use case is a high-value cell where SKU, part, or fixture changes repeatedly interrupt robot performance.
Build a value caseBring Kilnara to your next high-change cell.
Tell us about your industry, line type, and most expensive changeover. We will map a focused pilot path.