Data Unification and Mission AI from The Edge to Enterprise

The core challenge in today’s evolving landscape of modern warfare and national security isn’t a lack of data – the problem is that data’s lack of unification. Mission-critical information is trapped in silos, processed on outdated infrastructure, and gated behind brittle integrations that can’t scale or respond in time – all across different domains, services, and operational echelons. Traditional solutions were never built to solve for real-time decision-making under denied, degraded, intermittent, or limited (DDIL) conditions. They weren’t built for the edge. They lack unified ontologies to reconcile conflicting data models across domains. And they weren’t built for AI. And critically, they lock organizations into rigid, monolithic architectures that can’t adapt to evolving mission needs or integrate with existing investments. We built our platform to be open and modular – each component ([R]DP, [R]AIMS, [R]AP) can operate independently and interoperate with existing systems through industry-standard protocols and APIs. You don’t need all three to start delivering value.

We exist to solve this problem. And the impact speaks for itself:

Our platforms are a unified architecture designed to power mission AI from the enterprise to the edge. It provides national security organizations with the ability to ingest, process, analyze, and act on data at the speed of operations – whether that’s in a command center or a disconnected environment. Operationalized across 15+ national security agencies, accredited with 20+ Authority to Operate (ATO) approvals across multiple DoD programs, and deployed in NIPR, SIPR, JWICS, and SAP environments—every layer of our intelligence architecture is engineered for interoperability, security, and autonomy, delivering a seamless flow of data and intelligence from ingestion to AI-driven action.

We believe AI is only as effective as the data it runs on – and that data is only useful if it can be moved, processed, and secured at speed. That’s why we built our platforms to be loosely integrated, open modular systems that keep data flowing from source to AI models without slowdowns, duplication, or siloed access controls.

Our platforms replace fragile toolchains with a single, flexible foundation designed to support real-time operations at machine speed.

At the core of our product architecture is our Data Platform ([R]DP) – a real-time engine that pulls in and processes data from all kinds of sources, across domains, classifications, and connectivity levels. Unifying 100+ data sources across IL-4 and IL-6, structured or unstructured, [R]DP lets operators and analysts query, analyze, and visualize mission-critical information instantly – wherever it lives.

[R]DP supports two ways to access the data: Data Ingestion and Zero-ETL Data Proxy. Unlike older systems that rely on redundant data pipelines and slow transformations, [R]DP supports zero-ETL querying for live access — while still executing 2.6B+ daily transformations in less than 24 hours to ensure mission data is fully prepared and operational at speed. This means users can work directly with live data – and they can do it without creating copies or wasting time syncing systems. This speeds up decision-making and preserves data integrity.

[R]DP has been proven in action, powering live data fusion during major joint and multinational exercises like Balikatan-25, Bamboo Eagle 25-1, and REFORPAC. It is also deployed in operational environments for customers in SIPR, JWICS, and SAP environments. Its advanced mirroring keeps systems synchronized – even in low-connectivity or denied environments – by providing operators the flexibility to tag and prioritize critical data, ensuring teams stay informed and operational with the most mission-essential information, no matter the conditions.

Built on top of [R]DP is our AI Mission System ([R]AIMS) – a production-ready infrastructure for building and deploying intelligent agents. These agents don’t sit on the sidelines – they operate directly inside live mission workflows, responding to real-time data, executing complex logic, and enhancing human decision-making on the spot.

[R]AIMS supports engineers and non-technical users alike. Engineers and data scientists can train and deploy AI models in secure, containerized environments. At the same time, non-technical users can drag and drop to build powerful workflows – no coding required.

Agents built with [R]AIMS can observe live data streams, make decisions, and trigger autonomous actions. They can also work together as part of coordinated multi-agent systems that scale across operational domains. This has been demonstrated by [R]AIMS in exercises and missions supporting PEO C3BM, CENTCOM, and PACAF.

What sets [R]AIMS apart is how it integrates with real-time data – no outdated pipelines or delayed syncing. Combined with [R]DP, it enables dynamic, battlefield-ready AI that adapts as the mission evolves. All this runs in a secure, compliant environment aligned with Department of Defense (DoD) standards. [R]AIMS is agnostic to the foundational LLM models.

[R]AIMS has already proven itself in the field – in exercises like Balikatan-25, Desert Sentry, and the U.S. Air Force’s Decision Advantage Sprint for Human-Machine Teaming (DASH), where AI agents supported ISR data fusion, course-of-action analysis, and real-time mission reporting.

Tying it all together is our Application Platform ([R]AP) – a secure, DevSecOps foundation that lets teams deploy mission-ready software with a single click. Whether running in secure enclaves, at the tactical edge, or in classified cloud environments, [R]AP provides the hardened, observable infrastructure needed to meet mission demands.

[R]AP is designed to eliminate typical onboarding delays. It comes preloaded with NIST 800-53 controls, hardened containers from DoD-approved registries, and automated compliance tools that simplify the Authority to Operate (ATO) process. It integrates with modern CI/CD tools like GitLab and GitHub, enabling secure, continuous software delivery.

Tested in DDIL (Denied, Degraded, Intermittent, and Limited) environments, [R]AP ensures platform resilience and app availability under tough conditions. Its built-in service mesh, dynamic access controls, and encrypted communications ensure secure orchestration and observability across every platform layer.

[R]AP is currently deployed and accredited with the Air Force, Space Force, and U.S. Transportation Command, running across hybrid, air-gapped, and disconnected systems. It’s proven its ability to scale securely from edge to enterprise.

Together, [R]DP, [R]AIMS, and [R]AP make up the core of our product architecture – a system-of-systems that removes the seams between data, AI, and operations. The result: real-time data access, autonomous decision-making, and one-click deployment in even the most contested environments.

This is AI built into the heart of the mission. Live, integrated, and operational at the speed of need.

What sets our products apart isn’t just its modular design – it’s the unmatched ability to operate wherever the mission goes. Whether running in secure, top-secret (IL6+) environments, at the tactical edge, or across hybrid cloud infrastructure, our products move with the operator seamlessly and securely.

In low-connectivity or disconnected conditions, our products stay fully functional thanks to federated replication and smart data routing. AI agents continue working locally, making decisions and executing tasks in real time. Once a connection is restored, they sync back with central systems. This ensures missions stay on track – even in the most challenging, bandwidth-constrained environments.

In enterprise settings, the same products handle large-scale data ingestion, long-term storage, AI model training, and mission analytics – all within a single, secure compliance boundary. There’s no need to rebuild tools or workflows between environments. No duplicated infrastructure. Just one architecture built to support everything from the edge to the cloud.

Our products deliver a truly unified operational experience – resilient, flexible, and ready to perform across every level of the mission landscape.

Every product component is engineered with one goal: delivering decision-advantage at speed. That means moving beyond isolated tools or static dashboards and toward a living, dynamic system where data flows freely, AI adapts continuously, and mission systems operate as one.

By unifying AI development, data integration, and secure operations in a single stack, we accelerate mission readiness. Warfighters can trust that the data they see is current. Analysts can interact with streaming insights. Commanders can receive real-time support in making decisions – generated by agentic AI systems operating across domains. And none of it requires a patchwork of third-party tools or manual integration efforts.

This is how we deliver mission AI at scale – without compromise, without delay, and without fragmentation.

Our products were built to do more than just bring AI and data together – they were designed to power real-world missions from end-to-end. That means delivering smart, operational tools, and ensuring total flexibility underneath it – so teams can deploy anywhere, from secure cloud environments to the tactical edge.

Our data and AI extensions are purpose-built for real operational needs. These aren’t generic tools with a military wrapper – they’re domain-specific, tactically relevant, and powered by real-time data and intelligent agents.

Each extension is packaged and ready to configure for the mission at hand. Whether it’s automating ATO (Air Tasking Order) generation, using computer vision for battle damage assessments, streamlining MISREP (Mission Report) processing, or fusing multiple intelligence streams for GEOINT teams, our data and AI extensions run natively within our core platforms. That means no fragile APIs, no data handoffs, and no translation delays.

They’re integrated with our AI and data layers, built to evolve with mission needs, and fast enough to keep up with real-time operations. These aren’t dashboards – they’re fully operational mission systems. Smart. Specialized. Ready to go.

Success in the field takes more than smart software – it takes the ability to run anywhere, under any conditions. That’s why our infrastructure was designed from day one to be cloud-agnostic, classification-aware, and edge-ready.

We support deployment across AWS, Azure, Google Cloud, government clouds, and private infrastructure – so agencies can scale quickly and integrate with what they already use.

At the tactical edge, our infrastructure runs on compact, ruggedized hardware that’s optimized for DDIL environments – where connectivity is Denied, Degraded, Intermittent, or Limited. Even in tough conditions, our infrastructure keep systems in sync with smart data replication and prioritization.

It’s also storage-agnostic – working seamlessly with block, object, or file-based storage without heavy configuration. Whether in unclassified IL2 settings or highly secure IL6+ enclaves, our infrastructure – including live AI agents and data streams – maintains operational effectiveness across all classification levels. At IL6+, we achieve 99.99% availability with 3x redundancy. At the tactical edge, our adaptive quality-of-service ensures mission-critical functions continue with as little as 128 Kbps bandwidth, automatically degrading non-essential features while preserving core capabilities.

Most legacy systems require patching together tools just to get data from point A to point B. Our platforms – [R]DP, [R]AIMS, and [R]AP – were built as one unified system with modular components.

It starts with our Data Platform ([R]DP), which pulls in and standardizes mission data in real time. That data flows directly into our AI Mission System ([R]AIMS) for training, inference, and autonomous action. No manual ETL. No delays. No reformatting.

AI agents can act on live data as it comes in – flagging anomalies, responding to events, and making real-time decisions as patterns emerge or thresholds are triggered. The result? An  integrated, ready-to-go system where AI, data, and mission execution work as one.

At the foundation of it all is our Application Platform ([R]AP) – the control layer that manages identity, access, compliance, and deployment across the entire mission ecosystem. It makes sure that every AI model, data stream, and application stays secure, trackable, and properly authorized, no matter where it’s running – at the edge, in the cloud, or in a disconnected environment.

This fully integrated, yet modular, architecture – from data ingest to AI insight to real-world impact – means faster deployment, less overhead, and AI that stays aligned with the mission at every stage.

Modern warfighting doesn’t happen in silos – it plays out across a complex, distributed network of operators, sensors, and decision-makers. Our products are built for this reality, with a federated architecture that connects the tactical edge and enterprise systems into one seamless operational fabric.

Data collected at the edge can instantly inform strategic decisions at higher levels – and insights from enterprise systems can guide actions on the ground. Real-time information and AI outputs are shared across all nodes as bandwidth allows, with built-in resilience for DDIL environments.

When connectivity drops, each node continues to operate autonomously. Once reconnected, updates sync automatically – keeping everyone aligned with a single, trusted source of truth.