Optimizing Manufacturing & Industrial Pipelines

We build AI solutions to automate, improve inspection, and forecast events, helping the leading industrial organizations cut costs, improve delivery, and increase customer satisfaction.


State-of-the-art machine learning and AI provide immense opportunity for manufacturers. SFL Scientific has built custom solutions ranging from computer vision tools for quality control on production lines to predictive models for inventory management.

Our Recent Clients


AI Use Case for Industrials

SFL Scientific’s knowledge helping manufacturers leverage AI solutions such as Inventory prediction and inspection automation gives them a competitive advantage over established competitors while actually impacting the bottom line.

Predicting Sales & Inventory

Predict sales and sell-out events for mens’ and womens’ new products 12-months in advance using historical sales data and product metadata. Optimized supply chain informs multiple distributors, warehouses, and outlets for varying needs for products and stock.

Inventory & Sales Machine Learning

Automation of Inspection

Developed a deep learning-based pipeline to identify, localize, and segment 20+ defects within high-end wafers and dies. Autonomous system performs all QC in the clients manufacturing workflow.

Deep Learning / Computer Vision

Automated Thermal Detection

Developed a computer vision & deep learning based system to classify and predict thermal patterns in thermal vents of power stations from live drone video for inspection & monitoring.

Deep Learning / Computer Vision

Vibration Analysis using Synthetic Datasets

SFL Scientific was tasked to predict risk scores for shaft misalignment (SM) in machinery using synthetically generated vibration testing samples. The end goal was to have a model that could extrapolate well to real-world data despite having insufficient real-world data for model building.

Fault Detection using Guided Wave Analysis

In this project, SFL Scientific utilized Guided Wave analysis to detect surface flaws on steel piping with the goal of using a nondestructive testing method to build a machine learning model that automatically detect fault presence in piping structures.


How SFL Helps Industrial and Manufacturing Companies

Data Science is empowering leading industrial and manufacturing companies to deliver AI solutions that are changing the industry. These solutions can range use cases including predictive maintenance, predictive process design, supply chain optimization, and more.


  • Demand Forecasting
  • QC / Inspection
  • IoT & Sensor Automation
  • Predictive Maintenance
  • Failure Detection
  • Materials Analysis

Supply Chain

  • Intelligent Warehouse
  • Temporal & Fleet Analytics
  • Asset Tracking / Downtime
  • Automation/RPA
  • AI-Based Scanning


  • Call Center Analysis
  • Audio Extraction
  • Emotion Analysis
  • Decision Support
  • Compliance & QA
  • Topic Modeling

People Powered from Data Management to Custom Solutions and Deployment

Manufacturers know it’s not a question of whether or not to deploy AI solutions, but a matter of when and where to start.

Our US-based team of data scientists, consultants, and engineers can guide you through the process of driving real business value with AI. We will work to understand your AI business cases, identifying unique areas of innovation that require further research with proof of concept through building models and deploying sustainable, performant AI business applications at scale.

AI pipeline diagram

Start a Project

We’d like to work with you to understand your unique AI challenge from modernizing legacy platforms to developing new AI solutions. Technology moves fast, let’s build sustainable solutions.

Get Started

Our Custom Strategy

Computer Vision

Performance monitoring (predictive analytics, time-series, machine vision)

Learn More

Predictive Analysis/Time-Series

It's critical to develop a plan to integrate the model, not just make a predictive score

Learn More

Data Engineering

Designing data architecture and best practices for secure, efficient, and cost-effective data and IT systems.

Learn More