Meet Wallaroo: Game-Changing Platform for Production AI and Analytics

Wallaroo.AI
7 min readNov 15, 2021

We began in 2017 as a tight-knit group of engineers dedicated to solving the common problem of processing tremendous amounts of data efficiently and deploying real-time data algorithms at scale.

At first, we took the technologies that worked, fine-tuned them, and integrated them into an entirely new platform. But we soon realized that these technologies simply weren’t designed for the new world of lightning-speed data processing, flexible infrastructure, and continuous streams of real-time insights.

So, we stepped back and took a fresh look at the data processing systems themselves. We applied our collective expertise and real-world experience, and we built a high-performance data processing engine like nothing else on the market. But while our customers could now efficiently process their data and use it to build machine learning (ML) models, they soon pointed out their next biggest challenge: bringing those models online.

Like most organizations, they were doing everything by the book: data scientists would build ML models to increase business revenue, and engineers would launch them using a patchwork of open-source software. What they found, however, was that getting each model to production was like pulling teeth.

Models had to be painstakingly re-engineered, the deployment software couldn’t process data fast enough — even when running on an alarming amount of computing resources — and it was unnecessarily difficult to see how models were performing to accurately measure their business impact.

We knew there had to be a better way. So we refocused our vision, leveraged the high-performing engine we already had, and created an integrated, easily-scalable platform that completely counters the status quo. One that puts simplicity and speed first, streamlining the entire ML lifecycle and allowing businesses to bring their boldest ideas online within seconds, not weeks or months.

It’s a platform that changes everything, and we built it to enable a smarter, leaner future of data applications.

Most data science ideas never reach production

Data science is a modern-day superpower, and enterprises around the world know it. Over 90% of Fortune 1000 companies are investing in Big Data, analytics, and artificial intelligence (AI), adding up to over $700 billion being poured into teams of data scientists and engineers to revolutionize the way they do business.

Except survey after survey shows that 85% of data science initiatives never make it off the ground. If they do, it takes weeks or even months to go live, and the high cost to run and maintain the necessary infrastructure often outweighs the benefits.

There are plenty of tools that attempt to solve some of these challenges, but most are designed exclusively for developers and lock you into specific technologies (like Java). This makes it too difficult and expensive to scale, too slow for data teams to get their hard-earned ideas into production, and near impossible for business heads to measure and improve the impact of their AI investments.

As a final blow, most solutions can’t run your machine learning (ML) models against data in real-time, meaning you can’t take advantage of current market trends that could’ve sharpened your competitive edge and boosted your revenue.

All these setbacks slam the brakes on your business potential, squandering your data team’s efforts and leaving trillions of dollars on the table.

With investments in AI only trending upwards, companies hoping to turn a profit with their data will never reach their full potential without a better way to deploy, measure, and monetize their ML projects.

This is where Wallaroo comes in.

Introducing Wallaroo: AI and ML deployed differently

Wallaroo is an enterprise platform that turns your data into business results faster, easier, and with a far lower investment. By streamlining the ML lifecycle and giving data scientists the freedom to use the tools they already know, Wallaroo enables your team to:

  • Deploy models in seconds
  • Analyze data 100X faster
  • Reduce compute costs by 80%
  • Iterate quickly and scale easily

All you have to do is upload your AI/ML models, and let Wallaroo do the rest.

Simple platform. Powerful features.

Wallaroo packs a lot of punch in a small package. Here’s a quick look at the four integrated components that make up this lean yet mighty platform:

MLOps

Swift and simple ML deployments

This is the component that enables data scientists to deploy their ML models against live data in two clicks of a button — whether it’s to a testing, staging, or production environment. With intuitive APIs and support for common data workflows, Wallaroo takes care of the details to let data teams focus on the bigger picture.

  • Easily deploy, test, and iterate ML models using the frameworks your team already knows (e.g. TensorFlow, PyTorch, Scikit-learn, and XGBoost).
  • Run batch jobs or leverage real-time data processing to capture valuable market insights as they happen.
  • Refine and immediately redeploy new and improved models without complex re-engineering or operational headaches.

Distributed processing engine

Lightning-speed computing at lower cost

Here’s where the magic happens. This high-performing, easily-scalable engine can process hundreds of thousands of events per second on a single server (beating the industry average of 10,000 events per second), making Wallaroo the fastest platform on the market for production AI.

  • Run multiple models on a single server to drastically reduce computing costs and maintenance overhead.
  • Analyze data at record-breaking speed and react to market changes in real-time for a sharper competitive edge.
  • Leverage an ultrafast environment for production model scoring and pre/post processing, with support for custom data operations.

Data connectors

Seamless integration with data systems

We built Wallaroo to play nicely with others. Our Connector Framework neatly plugs our platform with your incoming and outgoing data points, and takes care of the integration to get you up and running in no time.

  • Quickly connect with popular data sources and sinks, like Apache Kafka and Amazon S3.
  • Plug in custom integrations and even your own in-house solutions.
  • Rely on rapid support if you need to integrate something that isn’t available out of the box.

Audit and performance metrics

Real-time metrics to measure business impact

This is where it all ties together. A simple, easy-to-use interface allows anyone on your team to explore powerful metrics and detailed analytics so they can effectively track, measure, and improve your ML’s performance.

  • Drill down into computing specifics (e.g. throughput, latency), model predictions, and benchmark performance for in-depth analysis.
  • Use A/B testing along with shadow and staged deployments to make sure you’re always using the highest-performing models.
  • Simplify audits with detailed event logs and visibility into everything your compliance and risk management team needs to do their jobs more efficiently.

Your data. Your algorithms. Your ecosystem.

Most tools on the market are notoriously difficult to integrate with existing systems, which typically pushes companies to spend countless resources building their own platform in-house. While creating Wallaroo, we challenged that tradition.

Wallaroo is designed to click into your own ecosystem and seamlessly connect with everything around it. Whether your environment is in the cloud, on-premise, or at the edge — Wallaroo can be deployed there and our team will help you tie up any loose ends.

You can also rest assured that all your data will remain yours. Everything that goes in and out of Wallaroo is private, secure, and only visible to those with permission to see it.

Scenarios where Wallaroo can help

From sports and media to politics and healthcare, AI has a strong influence over almost every sector. With the potential revenue from advanced analytics and AI nearing $10 Trillion across all industries, there are plenty of opportunities where Wallaroo can help businesses thrive.

“Very few companies have the resources to fully leverage their data to build better products or optimize their operations. Wallaroo wants to level the playing field by making it easy, simple, and low cost for any firm to take their boldest data ideas live”

— VID JAIN, FOUNDER & CEO, WALLAROO

Bring your boldest AI projects online with Wallaroo

When businesses have the tools to harness the power of data science, they can innovate every area beyond recognition.

To help you do that, we built a highly-sophisticated platform that absorbs the complexities of today’s scattered processes and turns them into a unified, intuitive system that gives you more visibility and control.

Wallaroo is a platform that enables the future of AI and analytics we always wished we had: one where cutting-edge AI and ML can be deployed in seconds, and data teams can deliver a higher value at a lower cost.

It’s a streamlined, simplified platform that just makes sense — and we built it so your team can spend less time making your data work with your software, and more time making your data work for your business.

Ready to push your AI to its fullest potential? Get in touch.

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Wallaroo.AI

90% of AI projects fail to deliver ROI. We change that. Wallaroo solves operational challenges for production ML so you stay focused on business outcomes.