NovaFuse is developing an AI fusion architecture that normalizes RF, EO/IR, acoustic, text and other inputs before alignment, uncertainty propagation, entity resolution and explainable output. Its maritime concept uses track-level fusion and local-data learning. Publicly listed IDEaS submissions and an interested-supplier profile establish pursuit of opportunities, rather than funding or operational acceptance.
Technical detail
Core features
Hermes-orchestrated normalized event stream for heterogeneous inputs
Spatiotemporal alignment, knowledge-graph entity resolution and propagated uncertainty
Proposed track-level maritime fusion and local-data federated learning
C2, dashboard, tactical-edge and wargaming output concepts
Separate published LLM-agent workflow experiments; these do not validate the sensor-fusion architecture
Sensor fusion
Knowledge graph
Edge AI
Explainable AI
Use & integration
Recorded applications
operational picture generation
persistent entity tracking
counter-UAS analysis
maritime domain awareness
These describe the reviewed application scope, not confirmed deployments, released requirements or procurement eligibility.
Evidence of maturity
Research and development; vendor timing/confidence illustrations and policy-control descriptions are not field-validation or security-accreditation evidence.
Commercial availability
Research, development and consulting engagement; product release, mission acceptance and IDEaS award status remain unconfirmed.
Integration and verification
Readiness
A technology readiness level is not established by the reviewed public sources.
NovaFuse may support Arctic domain awareness by helping operators integrate, protect, interpret, communicate, or rehearse decisions from distributed public-source sensor and mission data in remote environments.
NovaFuse may support autonomous patrol and monitoring by improving the ingestion, assurance, fusion, analysis, or communication of data from crewed and uncrewed sensing platforms.
NovaFuse may support underwater ISR where its cited data-fusion or mission-software capability can ingest, correlate, interpret, or communicate acoustic and other maritime sensor information.
NovaFuse may support edge data processing through cited deployable compute, data conditioning, inference, visualization, communications, or training workflows used close to operational users.
This is a reviewed public-source assessment. It is not procurement eligibility, endorsement, customer interest, or classified demand.
Original sources 4 linked records
These records support this capability and its published Mission area and Defence need connections. A source count is not a count of independent confirmations.
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · defence applications
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · name
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · maturity
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · defence applications
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · technicaldomainslugs
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · technical tags
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · summary
The cited product or program source supports the architecture, features, applications, and bounded capability summary recorded for NovaFuse Multimodal Fusion Platform.
Supports: Capability · technicaldomainslugs
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · commercial availability
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · core features
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · technology readiness level
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · core features
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · technical tags
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · summary
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · core features
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · capability type
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · technicaldomainslugs
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · defence applications
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · defence applications
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Capability · technical tags
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Arctic Domain Awareness
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Arctic Domain Awareness
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Arctic Domain Awareness
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Arctic Domain Awareness
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Autonomous Patrol and Monitoring
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Autonomous Patrol and Monitoring
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Autonomous Patrol and Monitoring
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Autonomous Patrol and Monitoring
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Underwater ISR
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Underwater ISR
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Underwater ISR
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Underwater ISR
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Edge Data Processing
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Edge Data Processing
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Edge Data Processing
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
Supports: Mission area · Edge Data Processing
NovaFuse describes Hermes normalizing RF/SIGINT, EO/IR, acoustic and text inputs into an event stream, then applying hierarchical fusion, geospatial/time alignment, uncertainty propagation, knowledge graphs and provenance-aware outputs to C2, dashboards, edge users or wargaming interfaces. Animated confidence and timing figures are illustrative rather than validated field benchmarks.
CanadaBuys lists NovaFuse as a supplier interested in partnering on the Multi-modal AI for Advanced Situational Decisions tender, with supplier-submitted company details and a May 27, 2026 page modification. An interested-supplier listing is not IDEaS qualification, funding or procurement acceptance.
Supports: Capability · maturity
CanadaBuys lists NovaFuse as a supplier interested in partnering on the Multi-modal AI for Advanced Situational Decisions tender, with supplier-submitted company details and a May 27, 2026 page modification. An interested-supplier listing is not IDEaS qualification, funding or procurement acceptance.
NovaFuse author David Scott published a May 25, 2026 Hermes Agent study comparing single-session, Kanban and self-tuned multi-agent execution for code refactoring, research synthesis and bug diagnosis. It reports 23 experimental runs and acknowledges small-sample limits; these LLM workflow experiments do not validate the separate maritime sensor-fusion architecture.
Supports: Capability · core features
NovaFuse author David Scott published a May 25, 2026 Hermes Agent study comparing single-session, Kanban and self-tuned multi-agent execution for code refactoring, research synthesis and bug diagnosis. It reports 23 experimental runs and acknowledges small-sample limits; these LLM workflow experiments do not validate the separate maritime sensor-fusion architecture.
NovaFuse describes maritime fusion at the semantic/track level, Bayesian multi-hypothesis tracking, propagated uncertainty and local-data federated learning. The July 4, 2026 article is an architecture proposal; classification-boundary and cross-domain-guard descriptions are not security accreditation or deployment evidence.
Supports: Capability · summary
NovaFuse describes maritime fusion at the semantic/track level, Bayesian multi-hypothesis tracking, propagated uncertainty and local-data federated learning. The July 4, 2026 article is an architecture proposal; classification-boundary and cross-domain-guard descriptions are not security accreditation or deployment evidence.
Public sources cited · Facts and assessments kept separate · Human review
NovaFuse describes maritime fusion at the semantic/track level, Bayesian multi-hypothesis tracking, propagated uncertainty and local-data federated learning. The July 4, 2026 article is an architecture proposal; classification-boundary and cross-domain-guard descriptions are not security accreditation or deployment evidence.
