We deliver a real-time data fusion platform that uses AI knowledge network algorithms to unify multimodal data—live text, video, and audio signals. Automate data fusion, validation, and analysis. Deliver real-time, explainable intelligence from fragmented sources for faster, more accurate operational decisions.
![image of success metrics in chart form [interface]](https://cdn.prod.website-files.com/68827b1794d003f8a7d7e08a/68878a54c930998d8a6595b2_62565bde-a9d4-48d2-b116-3bf364a96543.avif)
Automatically combine diverse, unstructured sources into a single, validated operational view for rapid, informed response. This overcomes computational bottlenecks that affect traditional AI methods, especially when dealing with truly large scale streams of diverse data.
![image of computer screens with data dashboards [interface]](https://cdn.prod.website-files.com/68827b1794d003f8a7d7e08a/68878a50618655c38327c79d_24ad53d5-2e87-45ff-a74a-0f5a2c4df953.avif)
Instantly evaluate source credibility and relevance. Surface high-confidence insights to streamline analysis and reduce uncertainty. We perform a single pass over the data to build a comprehensive relationship network, identifying the most relevant entities and their connections.
Access clear, explainable logic for each output. Understand context and rationale to support accountable, confident decisions. We can traverse the knowledge graph very quickly and pinpoint specific files or text segments of interest given a query, like learning relevant actors for an emergent event or pinpointing relevant communications.
Aggregate and unify diverse, disjointed data streams for a comprehensive operational view in near real time, overcoming computational bottlenecks.
Automatically assess source relevance and assign confidence levels to streamline reliability analysis by building a comprehensive relationship network from a single pass over the data.
Understand system outputs with explainable models, supporting informed, auditable analysis, including the ability to pinpoint specific files or text segments of interest given a query.
Identify critical patterns and surface anomalies across complex, multi-source data environments using signal reconstruction algorithms for faster processing of live video feeds.
Detect information gaps and recommend targeted collection to enhance situational awareness, with extracted features seamlessly integrated into our unified knowledge network for instant pinpointing of segments of interest.
Automate data fusion and validation for rapid, reliable operational insight. Streamline analysis, increase confidence, and enable decisive action in complex environments.
Integrate and unify real-time, multi-source data streams using AI knowledge network algorithms.
Automate validation with clear, actionable confidence scores by identifying the most relevant entities and their connections.
Explainable AI reveals patterns and critical anomalies, even processing video inference at a 10-fold faster rate than traditional methods.
Answers to key questions about our AI-driven data fusion platform, its validation process, explainability, and how it accelerates actionable intelligence for analysts and decision-makers.
The platform ingests and fuses diverse data types—imagery, signals, text—from fragmented sources in near-real time using AI knowledge network algorithms. This delivers a single, actionable operational view without manual sorting or pre-labeling, overcoming computational bottlenecks inherent in traditional AI methods, especially for large-scale, diverse data streams.
Each data point is automatically evaluated for relevance and reliability based on context, time, and source. Our knowledge network algorithms perform a single pass over the data to build a comprehensive relationship network, identifying the most relevant entities and their connections. The system then assigns a confidence level—high, moderate, or low—enabling rapid trust assessment for decision-making.
Yes. The platform uses explainable AI, providing clear logic and source references for every output. We can traverse the knowledge graph very quickly and pinpoint specific files or text segments of interest given a query, enabling analysts to review the reasoning behind each recommendation for full auditability.
Advanced algorithms identify patterns, correlations, and anomalies across large, disjointed datasets. For video, we use signal reconstruction algorithms to process and reconstruct video inference at a 10-fold faster rate than traditional methods. This supports early detection of threats or opportunities, enabling proactive operational responses, with all extracted features seamlessly integrated into our unified knowledge network.
For technical support or partnership inquiries, reach out using the details below.
Submit requests directly to us.
Mon–Fri, 000–1700 E
