Build transparent and adaptable Data & ML pipelines
via Julius’ auto-scaling, low-code, visual
graph computing solution
Challenges with Enterprise Data & ML
90%
of the time and cost of deploying Data & ML solutions is spent on Data Wrangling and Pipeline building
Up to 75%
of IT budgets are dedicated to just maintaining complex and opaque pipelines and infrastructure
9 / 10
ML projects fail to make it to production because of Data Issues, and the inability to collaborate efficiently with internal stakeholders
Painless Data Wrangling and ML Experimentation
Julius offers delightful tools for developers that unify data and analytics through the power of low code graph computing
Integrated Data & Analytics
We take the pain and toil out of getting data into your analytics pipelines, and that’s just where it begins. When your data and analytics are truly integrated, you’ll be amazed what kind of capabilities you’ll unlock.
Full Lineage & Visibility
Our point and click web UI to navigate and visualize entire data and logic graphs is unlike anything you’ve ever experienced. Never wonder how a number got that way － full data & analytical lineage and auditing are available at your fingertips. Julius lets you see it all.
True Auto-scaling
Any system implemented in Julius scales automatically on the fly without any code changes, from a single CPU to a thousand CPUs. This means your system grows with your business without the need to constantly re-engineer for limitless scalability.
Low Code for Real
Julius is low-code for real: our compact, easy to use tools will allow you to operationalize even the most complex business logic with a concision and understandability you never thought possible. Write rules, get running instances, see the results.
Leverage the Power of Graph Computing
Graph computing is the future, and organizations large and small are getting on board. Julius gives you a path to the incredible performance, reduced costs, and overall simplicity that comes with graph computing by making graphs easy to design, deploy, and manage.
GARTNER
“By 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision making across organizations."
Video Demos & Tutorials
OUR PARTNERS
Real Solution, Real Results
10x Reduction
in Time to Market
A major bank’s fraud detection team used Julius to visualize, explain, and analyze their complex credit card fraud detection logic. Our tools allowed them to quickly test and run scenarios to reduce the time required for releasing new fraud detection rules from weeks to days.
100x Reduction
in Code
It took only 37 lines of code in Julius to build a sophisticated data processing, feature engineering, hyper-parameter tuning and ML pipeline for a bank’s credit approval process, replacing tens of thousands of lines of code.
1,000x Reduction
in Computation Cost
Julius achieved a dramatic reduction in computation time and costs by marrying the power of graphs with adjoint algorithmic differentiation (AAD).
Using Julius, it took only an hour to compute the XVA and its 9MM deltas by running 20Y simulation on a portfolio of 100,000 trades using 200 CPUs, at a total cost of $16.