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DITTO STRATEGIC FUNDING INCREASE: UNIFIED EDGE SYNC PLATFORM

AFWERX · AFWERX STRATFI · AFWERX

AI-Readiness Score
21/25
Pathway Speed
5/5
Timeline Realism
4/5
Problem Framing
4/5
AI / ML Fit
3/5
Award + Transition
5/5

Award

$12,734,891
Award ceiling
DittoLive Incorporated
Awardee
Posted July 14, 2025

Description

Ditto's Strategic Funding Increase (STRATFI) proposal delivers a unified, resilient edge synchronization platform addressing critical Department of Defense data sharing challenges in contested, communications-degraded, or denied environments. Modern military operations increasingly depend on distributed platforms—from mobile devices to autonomous systems—yet rely on fragile, centralized network architectures vulnerable to adversary targeting and infrastructure disruption. Our solution centers on a Unified Data Mesh architecture integrating Ditto's commercial-grade Big Peer and Small Peer engines with the Common Operational Database (COD), also referred to as Ditto Edge Server. The platform enables real-time peer-to-peer data synchronization, seamless networking, and AI-powered data prioritization across disaggregated platforms using conflict-free replicated data types (CRDTs), hybrid logical clocks (HLCs), and mesh networking protocols. Key technical capabilities include: deployment of edge sync capabilities across 100% of targeted distributed platforms achieving 99.9% uptime; bandwidth optimization reducing usage by 50% in contested environments through intelligent data prioritization; synchronization latency reduction by 40%; MLOps infrastructure enabling model deployment in under 2 hours; and AI-powered data filters processing raw input to actionable intelligence in under 30 minutes. The system currently operates in CUI environments and integrates with MOSS ecosystem, ARRAKIS/CDS interfaces, and TAK interoperability. Technical architecture supports ad-hoc mesh networking (MANET-compatible), multi-hop routing, and transport protocols including IP, BLE, Wi-Fi Direct, and serial radio support with sub-second sync latency under optimal connectivity. Prior Phase II SBIR work demonstrated TRL-7 readiness through successful RC-135 Rivet Joint platform integration, achieving 0% data loss, >1.5x bandwidth increase, and automated failover capabilities. This STRATFI advances all components to TRL-8 through operational deployment with Navy, AFSOC, and INDOPACOM users, including Talisman Saber 2025 coalition demonstration.The effort delivers containerized software deployments through Game Warden accreditation pipeline, supporting Primary, Alternate, Contingency, and Emergency (PACE) framework requirements while maintaining full DoD cybersecurity compliance and cross-domain accreditation standards.

Score Rationale

AFWERX STRATFI is a top-tier fast-track instrument and the $12.7M ceiling with named operational users (Navy, AFSOC, INDOPACOM) and a live coalition demonstration (Talisman Saber 2025) provides an unusually concrete transition pathway, earning top marks on both pathway speed and award/transition. Problem framing is strong with quantified success criteria (50% bandwidth reduction, 40% latency improvement, 99.9% uptime) and identified end-users, though slight ambiguity around which metrics are contractually binding versus aspirational keeps it from a 5. AI/ML fit is the weakest dimension — the core innovation is CRDT-based edge sync and mesh networking, which is fundamentally a distributed systems problem; AI/ML appears as a meaningful but secondary component (data prioritization, filters, MLOps infrastructure) rather than the load-bearing technical contribution, warranting a 3.

Source

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