Raft, a leading defense technology company dedicated to empowering the U.S. military and government agencies with cutting-edge AI/ML and data solutions, has officially announced an updated version of its Raft Data Platform ([R]DP), which happens to be a robust, edge-ready, scalable platform purpose-built for the U.S. Department of Defense (DoD).
According to certain reports, the updated platform will be used to solve challenges observed in the context of handling disparate, large-scale data from the edge to the enterprise.
To understand the significance of such a development, we must take into account how, with evolving geopolitical tensions and increasing reliance on data-driven military operations, modern warfare now calls for a specialized ability to collect, process, and analyze data from multiple sources across a vast, complex, contested landscape.
The reasoning behind that is, of course, rooted in the importance of deploying data quickly and efficiently, as any delay here can end up creating a clear-cut advantage for the opposition. Hence, modern data platforms have no option but to integrate more seamlessly, be more modular, and require more flexibility in government ownership and government purpose right.
In response to the provided challenge, Raft’s Data Platform brings forth a setup, which supports users of all types, from low code operators to data scientist super-users. Furthermore, it has already demonstrated use cases at the tactical edge by using handheld devices with users at the enterprise level, facilitating it all with a global Common Operating Picture.
More on the same would reveal how R]DP is well-equipped to operate at all classification levels with native Cross Domain Solutions. Joining that would be the platform’s promise to work, in an equally optimal fashion, with various data types and modalities, while simultaneously moving data at industry leading speed to enable decision superiority at all times.
In fact, Raft’s comprehensive platform is understood to perform faster than any existing operational data platforms. Thanks to that, it is already deployed on IL6 within the DoD.
“From licensed-based solutions that come with high costs and require customization to government-owned platforms that do not have the flexibility needed for broader operational use, today’s DoD data marketplace lacks a singular solution that supports edge and DDIL environments while operating across all classification levels, until now,” said Shubhi Mishra, CEO, Raft. “With [R]DP, we are providing the DoD with a much-needed flexible, AI-enabled solution that scales with evolving needs. Now, the DoD has access to a powerful platform that gives them the versatility, speed, and reliability to take control of its data landscape.”
Talk about the given value proposition on a slightly deeper, we begin from its COP & UI Agnostic nature, meaning it can use any COP or UI, or if that’s not the preference, it can also leverage [R]DP’s user-friendly interface.
Next up, we must dig into the solution’s pledge to be AI-ready. Banking upon a native ML Ops layer, the solution is able to seamlessly integrate and deploy machine learning models, and therefore, drive faster decision-making.
We briefly touched upon [R]DP’s Native Cross Domain Solution, but what we haven’t touched upon yet is that it can also integrate with both object and messaging-based diodes to transfer data in real-time across and in between enclaves.
Another detail worth a mention here is rooted in the solution’s take on compliance and security. This take includes providing access to fine-grained security controls at all levels for data protection and compliance across DoD environments. Moving on, we must also expand upon the now-updated platform’s real-time data processing capabilities. In essence, the technology can process and analyze data under 200ms so to enable immediate situational awareness and F2T2EA.
Hold on, we still have a couple of bits left to unpack, considering we still haven’t touched upon [R]DP’s modular design, which utilizes 45 microservices to deliver all the features that are actually necessary for flexibility and cost-efficiency.
Rounding up highlights would an aspect dedicated towards data integration and transformation. Here, the platform effectively handles structured and unstructured data from diverse sources with seamless integration, as well as conducts rapid data transformation, with over several billion transformations per day.
