AI-guided decisions made transparent.

Make quality decisions with case-based reasoning without being left in the dark - all local and secure! start now.

Hero Image showing the casebased workflow

Integrating great tools...

Seamlessly integrated tooling, all local and free. Giving you performance and security for your case-based reasoning.

Next.Js
Launch simple, elegant dashboards on your machine and get insights.
Ollama
Connect your own choice of LLM to CaseBased and run it locally.
Python
CaseBased is open source! Build on top of our functions with Python.
TensorFlow
Tensorflow powers our Hybrid System of case-based reasoning and ANNs
Scikit-Learn
Fully customisable machine learning behaviour at your fingertips

To help you make right decisions

CaseBased offers not only a library for ML and Data Science but a fully fledged tool that integrates AI into your decision making workflow.

Load Historical Data
The simplest way to create a case base
import numpy as np
def hello_world():
print("Hello World!")
Create cases
Load or create the problem cases
import numpy as np
def hello_world():
print("Hello World!")
import numpy as np
def hello_world():
print("Hello World!")
Run the Hybrid System
Get insights and recommendations
import numpy as np
def hello_world():
print("Hello World!")
import numpy as np
def hello_world():
print("Hello World!")
import numpy as np
def hello_world():
print("Hello World!")
Review
Understand the reasoning behind the recommendation
import numpy as np
def hello_world():
print("Hello World!")
import numpy as np
def hello_world():
print("Hello World!")
Export
Export the results to a format of your choice
import numpy as np
def hello_world():
print("Hello World!")
import numpy as np
def hello_world():
print("Hello World!")
import numpy as np
def hello_world():
print("Hello World!")
import numpy as np
def hello_world():
print("Hello World!")
import numpy as np
def hello_world():
print("Hello World!")