Master Veteran Operator Insights—Now Powered by AI 🤖

Are You Facing These Challenges?

😒 Relying on veteran operators to personally inspect and decide when to swap cutters

😒 Spending hours every day on manual checks—and wasting valuable time

😒 Transferring know-how by word of mouth, leaving new hires struggling to learn

😒 Losing all expertise the moment a senior operator retires or leaves

😒 Tracking cutter life by “feel” alone, with no formal records

😒 Sitting on data you never actually use to optimize processes

😒 Being put off by the high cost and complexity of sensor-based solutions

😒 Wanting to try AI but lacking the budget, manpower, or technical know-how

You’re not out of ideas—you’ve just needed a practical, “hands-on” way to get started.

Because there’s no need for extra sensors or hardware investment, BladeSense is one of the market’s most efficient predictive-maintenance solutions. Tap into your existing MES/ERP data to enable cutter-life forecasts—for just a few thousand dollars per machine per year, with full ROI in under 12 months.

High Value

Meet BladeSense - Your AI Veteran

Most cost-effective AI, fastest payback

Data-Driven Ally

Transparent AI you can trust

We’re not selling you a “black box.” Our solution combines data science with explainable models you can validate yourself. With only 30+ cutter-change records, BladeSense achieves ~70% prediction accuracy (AUC), and as more data accumulates, accuracy can exceed 90%. Move from “gut feel” to confident, data-backed decisions.

Rapid Onboarding

No hardware. No wait. Live in two weeks.

No sensors, no long installs, no drawn-out development. Provide your historical logs, and within two weeks we’ll train and deploy your custom AI—quickly plug into your MES/ERP and start receiving daily cutter-life forecasts and change alerts from day one.

More Product Highlights

✅ AI models improve daily for ever-better cutter-changing forecasts.

✅ Ingest any cutter history for complete data-driven learning.

✅ Dashboard reveals live cutter-changing forecast status at a glance.

✅ Supports complex tooling—dual-edge to multi-flute—in one solution.

✅ Seamless IoT / MES Integration keeps data flowing.

✅ Compatible with every CNC machine, any brand or model.

Who’s It For?

👤 Manufacturers aiming to boost competitiveness

👤 Production lines with heavy tool-change workloads

👤 Manufacturers already logging cutter usage and change history

👤 Companies worried about losing senior-operator know-how

👤 Managers looking to cut unplanned downtime and lift daily output

Case Study: Taiwanese Auto Parts Manufacturer

“We used to rely on our veterans’ feel—now even juniors hit the perfect swap point.”

✅ 80% reduction in manual cutter inspections

✅ 70%+ accuracy on change-recommendation hits

Provide your cutter-change logs and basic machining history.

1.Upload Your Data

Quick Assessment & Fast Onboarding

2.AI Model Training

We build a custom tool-life prediction model just for you.

3.System Integration (Optional)

Plug into your MES/ERP for automatic data sync.*

4.Real-Time Forecasts

Receive daily cutter-life estimates and change alerts.

5.Continuous Improvement

Our AI refines itself over time with new data.

Live in as little as two weeks—no sensors, no extra hardware required.

*No system? No problem—you can still get started!

The Most Affordable AI—Built for Value

Basic (Annual)

US$1,000

(Supports up to 10 cutters)

Contact us for a quote

US$3,000

Enterprise

One-Time Onboarding Fee

/machine per year

(All plans require a one-time onboarding fee below.)

✅ Ideal for simple setups

✅ Stable processes with minimal variation

✅ Multi-machine, multi-site deployments

✅ Custom model partitioning & optimization

✅ Data cleansing & analysis, AI model training, System integration & validation

✅ No hidden costs

Starting at

FAQs

How is your solution different from sensor-based systems?

Our AI forecasts tool life from historical data—no sensors needed—while sensor systems monitor real-time vibration or temperature. Both approaches have their strengths and can complement each other.

How much history do you need to start?

Just 1–3 months of cutter-change logs (≈30 records) is enough for an initial model (~70% AUC). As more data accumulates, accuracy can exceed 90%, with very few false alerts.

Can you support legacy machines?

Absolutely—paper records work just as well. Digital data from an IoT/MES system only improves results but isn’t required.

Our IT resources are limited. Is integration difficult?

Not at all. BladeSense runs independently in the cloud; basic API hookups are all that’s needed—no heavy IT lift.

Will the AI model become outdated or inaccurate?

No. Our models continuously retrain on new data, improving accuracy over time rather than degrading.

Is ongoing maintenance a hassle?

Not really. As a cloud service, BladeSense updates automatically. Simply review a quarterly “forecast vs. reality” check, and we’ll help fine-tune as needed.