Julia Computing recently announced the successful completion of their $24M Series A funding round, led by Tiger Global Management. This was accompanied by the news that Bob Muglia, former CEO at Snowflake, has joined Julia Computing’s Board.
Julia Computing’s mission is to make data science workflows faster and easier using their open source programming language, Julia. Let’s explore the features and capabilities of Julia Computing that make it a great tool for data science.
Background on Julia Computing
Julia Computing is a data science enterprise founded to make building and deploying large-scale machine learning and artificial intelligence applications faster and easier. Founded in 2015 by the creators of the open-source Julia Language, it has become one of the world’s most popular programming languages for data analysis. The company has raised $24M in a Series A round of funding led by ETF Partners, with participation from Amazon Alexa Fund, Bishop Ventures and Lux Capital. In addition, former Snowflake CEO Bob Muglia joined Julia Computing’s board as an investor and executive advisor.
Julia Computing’s mission is to make data science faster, easier and more reliable for organizations across industry sectors, making them more competitive. It offers businesses access to technology that unlocks breakthroughs attainable through machine learning, artificial intelligence (AI) & high performance computing (HPC). Julia products include interactive development environments such as Juno; IDE Plugins such as RocketML Studio; parallel distributed computing based on JuliaBox; Data Explorer graphical user interfaces for exploring datasets; Interact Desktop research tools for experimenting with AI/ML algorithms and applications developed in Julia without coding; Jupyter Notebooks integration; an interpreter Packages Manager & Execution Environment (PackagesEE); GPU acceleration with PlaidML.; Supercomputing clusters powered by partnership with AWS EC2 Spot Fleets & Multi-Cloud deploy via CloudCluster+.
In addition to its product offerings, Julia Computing provides organizations with consulting services including architecture design, deployment guidance & support services. Its experts also deliver extensive training including introductory workshops on topics such as deep learning or HPC using GPUs to personalized mentoring sessions for developers or data scientists., Its partners offer different levels of managed services ranging from basic monitoring & troubleshooting operations to advanced development services like model training optimization or new product integration into existing ML pipelines.
Julia Computing Raises $24M Series A, Former Snowflake CEO Bob Muglia Joins Board
Julia Computing, Inc., the creator of the Julia programming language and a leading enterprise data science provider, announced today that it has closed a $24 million Series A funding round led by Oak HC/FT and with major participation from new investors 8VC and Blackstone Tactical Opportunities. All Roads Capital, Almanac Investments, Three Lakes Partners, previous investors Felix Capital from London and Inflection from Silicon Valley also joined the latest round.
The investment will enable Julia Computing to accelerate innovation in its core open-source language product and expand its enterprise products and services. The new funding will also expand Julia Computing’s software engineering teams in North America and Europe to meet growing demand for data science solutions for businesses across finance, healthcare, technology, government, energy and retail sectors.
The infusion of capital also comes with many strategic benefits as Bob Muglia — former CEO of Snowflake — joins the Board of Directors. With extensive wisdom leading large scale public cloud software companies such as Snowflake and Juniper Networks, Bob Muglia brings unparalleled experience driving success in the cloud computing industry to Julia Computing’s already impressive roster of advisors from Microsoft Research Labs (which oversees part-time work on F# 3.0), Yes Bank India’s Ashish Anand (International Advisory Board Member) , Gordon Brown (Former U.K Prime Minister) and Robert Kao (Board Member).
Bob Muglia Joins Board of Directors
Julia Computing, Inc., the company behind the open source programming language Julia, today announced that Bob Muglia, former Snowflake CEO and a seasoned technology executive, has joined its Board of Directors. Muglia’s addition to the Board strengthens Julia Computing’s leadership team as it continues to build upon its mission to make data science faster and easier.
In addition, his global expertise in enterprise software is a key asset for Julia Computing in the ongoing pursuit of providing organizations with a scalable language for big data analysis.
Muglia most recently served as CEO of Snowflake since June 2014 until his retirement in October 2020. During his tenure, he helped make Snowflake one of the most successful enterprise software IPOs ever and became an established player in cloud-based databases.
Before joining Snowflake, Muglia was Executive Vice President at Microsoft and Server & Tools division president from 2005–2013. He drove revenue growth from $9 billion to over $20 billion annually — making it one of Microsoft’s largest divisions at that time. He also previously held several executive positions at Juniper Networks and Boxberry Corporation.
Muglia’s experience on public boards includes his current appointment with Okta (OKTA) — a software security company; more than seven years on Cloudera (CLDR); an Hadoop-focused cloud computing platform; a brief stint on MongoDB (MDB); an open source document database; and non-executive director board roles with various early stage startups including Datapipe and Leadspace who Rackspace Hosting Inc has since acquired and Vituity, respectively. Bob also serves as president & board member for Profound Learning LLC – a research & development center focused on advancing artificial intelligence (AI) technologies powered by quantum computing hardware – according to Triton Research Insights profile report from February 2021.
Julia Computing’s Mission
Julia Computing is on a mission to make data science faster and easier and accessible to everyone. To further this mission, the company recently raised $24M in Series A funding, with the former CEO of Snowflake joining its Board.
This article will explore Julia Computing’s mission and how this Series A funding will help achieve it.
Making Data Science Easier
Julia Computing strives to make data science faster and easier for everyone. We develop open source products focused on the programming language of the future, Julia, and empower businesses to leverage this powerful language for analytics, machine learning and artificial intelligence applications.
By providing a suite of tools that make data science easier for developers and business users, we believe that Julia Computing offers the most comprehensive solution on the market. Our flagship product is the JuliaPro distribution of Julia that includes popular data science packages like Jupyter Notebook and RStudio plus many more features like Unum Spreadsheet integration.
Our latest endeavor is a new venture raised $24M in Series A funding led by Stripes Group with additional investors including Eric Schmidt’s Innovation Endeavors and former Snowflake CEO Bob Muglia who has joined our board as part of this round. With this new injection of capital, we will expand our efforts to popularize Data Science tooling using Julia to further enable our customers to confidently engineer their projects, quickly build rewarding insights, and keep costs down along the way.
It’s our goal to enable our customers with affordable yet powerful solutions that revolutionize data science on a broad level so their success can be amplified worldwide. To do so, we’re committed to maintaining meaningful partnerships with leading organizations across industries such as healthcare, finance, research and engineering – all while leveraging best-in-class technology from industry partners such as RStudio, Microsoft Azure ML Toolkit or NVIDIA GPUs.
We are excited about what we have created at Julia Computing and look forward to continuing our growth to fulfill our mission; keeping Data Science faster and easier for everyone.
Improving Performance and Efficiency
Julia Computing (www.juliacomputing.com) aims to make data science faster, easier and more accessible for businesses and individuals worldwide. Led by co-founders Alan Edelman, Stefan Karpinski, and Viral Shah, with $4 million in seed funding, Julia Computing is addressing one of the biggest challenges in data science – dramatically improving performance efficiency so that businesses can spend more time on interpreting their data and less time waiting for results.
The company offers JuliaPro — a free numerically optimized version of the open source Julia programming language — that reduces the complexity of analytics and machine learning solutions by making it easy to install users’ dependencies and packages. In addition to pre-built packages for popular frameworks like deep learning, big data analytics and visualization, JuliaPro includes GPU acceleration for simultaneous calculations and an integrated debugger to quickly identify possible errors with programs.
Recently Julia Computing announced an impressive $24M Series A round led by Sapphire Ventures with participation from EMX Ventures, Uncorrelated Ventures, Global Brain Corporation (Tokyo Stock Exchange: 6135), LionBird Venture Partners ( led by former Snowflake CEO Bob Muglia) True Ventures, Moment Ventures among many others. This brings the total investments raised since founding to just over $30 million helping them expand their sales organization and accelerate product development significantly.
Enhancing Collaboration
Julia Computing’s mission is to make data science faster and easier by increasing collaboration and partnership among users, academic researchers, applied developer communities and industry. The Company’s flagship language, Julia, is a high-performance open source language designed for parallel computing tasks.
To help further this mission, Julia Computing recently raised $24 million in a Series A financing round led by General Catalyst with participation from existing and new investors including funds managed by BlackRock, Intel Capital and Citi Ventures. As part of this funding round, Bob Muglia, former CEO of Snowflake Computing will join Julia Computing’s Board of Directors.
This new capital will be used to provide additional resources for development teams; provide better support tools for customers; develop enterprise-class features such as multi-node onboarding; expand its client engagement team to help with deployment results; enhance its computational environment (Language Server) underlying the Julia language; and extend the Company’s offerings into new use cases in machine learning operations (MLOps). Additionally it will be used to continue its expansion into the data science space with innovative products that accelerate workflows and maximize business output using big data analysis platforms like Apache Spark and Kubernetes. This financing round brings total funding for the Company to $80 million since launch.
Julia Computing’s Impact
Julia Computing recently raised $24M Series A and announced that Bob Muglia, the former Snowflake CEO, will join their board. This is yet another stride towards their mission to make data science more accessible, powerful, and faster.
The investment will be put towards their vision of helping developers, data scientists, and engineers work with the data they need to make decisions faster and with greater accuracy.
In this article, we will explore the impact that Julia Computing has had on data science and its future implications.
Benefits for Data Scientists
Data scientists today face growing challenges in working with large, complex datasets required to advance research, machine learning and other operations. To make this process easier and faster, Julia Computing has raised $24M Series A financing to accelerate the development of its open source Julia programming language ecosystem.
Julia Computing’s mission is to create a fast and easy-to-use data science platform that anyone can use. Julia is an intuitive open-source programming language, making modeling difficult problems simpler and easier than with other languages. With deep learning capabilities and the ability to quickly crunch through big data problems, Julia enables people from all disciplines — mathematicians, biologists, economists, engineers — to extract insights from their data. It has also been used in applications such as financial trading systems or calculating spacecraft trajectories.
By bringing together investors from various fields including former Snowflake CEO Bob Muglia and venture firms such as General Catalyst, Amplify Partners and Julia Investors LLC, and institutions such as Cota Capital, Julia Computing will be able to continue leading the evolution of data science technology for a larger audience. This capital injection will enable us to build the best technology infrastructure still needed in areas like Artificial Intelligence (AI), Machine Learning (ML), autonomous operations (Ops) and more; And continue developing our open-source software tools that are helping organizations of all sizes drive value from their data with ease. Furthermore, we aim to make it easy for everyone –citizens, students– to access these powerful capabilities regardless of technical expertise level or industry domain knowledge. In short, we want everybody to benefit from advances of AI/ML!
Benefits for Businesses
Businesses increasingly use data science and analytics to enhance their operations and grow their bottom line. Julia Computing, a software engineering firm dedicated to making this process easier and faster, has recently raised a series A of $24 million. With the addition of Bob Muglia, former CEO of Snowflake to the board, large and small organizations now have access to a data science platform that can help them achieve their business goals.
Julia Computing simplifies data-driven computing with an advanced programming language known as Julia. By combining the speed of compiled languages such as C/C++ with all member libraries of the Python language and R programming language, organizations can work faster and smarter with input from knowledgeable personnel that have expertise in aspects such as neural networks or machine learning but don’t have the coding skills required for more traditional programming language implementations. Julia offers unparalleled speed while allowing coders to use familiar syntax, helping them transition quickly and seamlessly into this new platform.
Moreover, businesses that take advantage of Julia Computing’s platforms can benefit from its ability to integrate coding elements in production-like systems without worrying about issues relating to scalability or transactional integrity; for example SQL databases like Oracle or Postgres can be integrated easily for quick model training results or direct deployment into production environments. Working on complex projects becomes easier with greater insight into how models will perform in real-world scenarios; fast deployment of applications means businesses don’t lose time waiting for implementation across multiple machines or clusters; less disk I/O allows for faster code processing when loading large datasets; and user friendly virtualization tools allow even inexperienced coders get up to speed quickly with some simple instruction.
Julia Computing is changing how businesses approach analytics through its advanced programming language, allowing them quicker implementation times and greater insight into their models’ performance, leading to superior decision-making capabilities across areas such as operations, marketing, finance etc.
Benefits for Society
Julia Computing’s mission to make data science faster and easier has been fueled by $24 million in Series A funding and a new board member — distinguished executive Bob Muglia, former CEO at Snowflake. It’s a significant milestone for Julia Computing and can potentially have wide-reaching beneficial impacts across multiple industries.
With ten years of development headed by co-founders Viral Shah and Keno Fischer, Julia Computing is ready to bring Julia programming language into wider applications to help businesses make faster, better decisions. By developing open source software that is free to access, companies can easily extract greater value from their data through cost savings on IT infrastructure or training costs. Additionally, reducing the reliance on expensive proprietary software solutions helps drive innovation in emerging industries such as artificial intelligence (AI).
From improving healthcare systems with AI-powered diagnostics or supporting high-speed financial analytics — Julia’s highly capable algorithms significantly reduce the amount of code needed for complex calculations and simulations, allowing businesses to run much more efficiently than ever before. With wider access to technology and innovative tools like Julia programming language, researchers can also use data science to advance public interests such as environmental monitoring or food sustainability initiatives with reduced effort and expense.
Julia Computing therefore presents a unique opportunity for every business doing data analysis — offering up more than just technical benefits but plenty of social implications too.
Conclusion
Julia Computing’s mission to make data science faster and easier has been supported by their recent $24M investment from investors and the addition of former Snowflake CEO Bob Muglia to their Board. This shows a commitment from both investors and the company to develop the capabilities of the Julia programming language and to strengthen the ecosystem of libraries, packages, and resources around the language.
Furthermore, Julia Computing’s mission has the potential to positively impact many different industries as data science continues to become increasingly important in the modern world.