100X better with
Data Prioritization AI

Reduce your AI infrastructure and human capital costs by 100x.
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Meet the Founders

We Solve
Lightscline’s lightweight AI solves the problem of automatically identifying the 10% high-value data from Terabytes of data being generated from applications like satellites, drones, industrial assets, and underwater vehicles. Using Lightscline AI’s 4 lines of code that can be setup within 10 minutes, customers can reduce 90% of their sensor data infra & human time and costs by selectively focusing on just 10% of the raw data. By exploiting the redundancy of real-world data, Lightscline AI makes real-time predictions for different downstream tasks like anomaly detection, classification, etc. using just 10% important data.
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from lightscline.lightscline import LightsclineEdge

## Load data into Lightscline

ls = Lightscline(data=data, fs = SAMPLING_FREQUENCY)

## Reduce the amount of data by 90% of the original

ls.reduce_and_preprocess_data(per_reduction=90)

## Train the model

ls.train_model(verbose=True, n_iters = 1000)

## checking the results

ls.test_model()

JUST 4 Lines?
Our AI uses 4 lines of code to redefine
the 1940s Nyquist theorem for scientific computing
✔️ NO SECURITY THREATS

✔️ NO DATA BREACHES

✔️ 100% ADAPTABILITY

✔️ APPLICABLE TO ANY HARDWARE

Maximize Your Gains

10x Faster

Less data requires fewer layers in models, improving latency and making processes more efficient and responsive overall.

100x Cheaper

Less data reduces bandwidth, storage costs, and model size. Smaller models take less RAM and work with weaker compute resources.

100x Efficient

Smaller models require less compute power, meaning less energy is consumed, which is beneficial for sustainability and efficiency.

100x Productivity

Dealing with less data saves time, which improves productivity. Our SDK automates processes, making everything seamless and efficient.

All Hardware Ready
Image 1

Intel/Ryzen processor

Image 2

Jetson Nano

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Arduino

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Raspberry Pi

GET STARTED