LightsclineCompute-Demo

This repository contains demo files for Lightscline's AI software: LightsclineCompute

Engagement Model

1. Book a meeting here.

2. In the initial meeting, we will:

   1. Give a product demo
   2. Identify a customer use case
   3. Set success metric(s) (e.g. accuracy, time, compute reduction)
   4. Estimate a rough business impact (e.g. Deployment time 10 Week -> 1 Week, Model Training Cost - $1 Million ->$100k)

3. After the meeting, Lightscline will either:

   • Provide the SDK for your team to test and share results over 2 weeks, or
   • Analyze your data and deliver a report based on the success metrics within 2 weeks.

   If your team choose to play with the SDK yourself, The following 2 files can help you get started:

   Single Channel.ipynb - contains a example with one channel of sensor data

   Multi Channel, Multi Modal.ipynb - contains a example with multiple channels (multiple modality) of data.

4. If successful, we will proceed to the next phase.

Company website: https://lightscline.com/

Tip: Press shift+Tab for seeing the documentation inside the Jupyter notebook