RF Situational Awareness
Continuously monitor the RF environment and alert operators when mission-defined conditions occur.
Real-Time RF Agentic Intelligence
Traditional RF analysis systems require experts to configure sensors, interpret the data outputs, and determine follow-on analysis and other next steps. Running these legacy systems involves highly manual processes, which are compounded by the underlying siloed tools and workflows.
RIA provides a new class of RF analysis and workflow-automation capabilities. End users describe their goals using nontechnical, natural-language requests. RIA’s agents then determine how to configure the RF sensors, which edge models to run, how to analyze the resulting information, and how to combine current and historical RF observations to answer the user’s question and recommend next steps that can be automated.
Built for Real-World RF Missions
Turn complex RF workflows into mission outcomes.
RIA combines edge sensing, agentic orchestration, and persistent RF memory for operations that demand speed, context, and adaptability.
Communications Intelligence
Process voice or data signals and make the extracted content available for live and historical analysis.
RF Environment Monitoring
Establish an RF baseline and identify changes, anomalies, or previously observed activity.
Automated Reporting
Turn distributed sensor observations into mission-focused summaries without manually consolidating data from multiple RF tools.
Tell RIA what you need to know.
The operator defines the outcome. RIA handles the RF configuration, edge model selection, analysis workflow, and delivery of the answer.
1
Describe the mission
Ask a question, define an alert, request a report, or establish an ongoing monitoring objective in natural language.
2
RIA plans the workflow
Agents translate intent into RF sensor tasking, model selection, processing workflows, and historical data queries.
3
Sensors sense and analyze
NVIDIA-accelerated sensors execute RF and AI models at the edge, close to where the signals are collected.
4
RIA delivers intelligence
RIA combines live observations with historical context to provide answers, alerts, reports, and supporting evidence.
RIA User Console
Connected to Live RF Sensors
Connected to RF History
Connected to RF History
RIA
Analyzing current RIA configuration.
Your sensor network currently has four active devices. Here is the current configuration:
- Sensor 137.7749° N, 122.4194° WScanning communications signals from 700 MHz to 1.2 GHz.
- Sensor 234.0522° N, 118.2437° WDetecting drone signals.
- Sensor 340.7128° N, 74.0060° WTranscribing LMR communications and translating them into English.
- Sensor 429.7604° N, 95.3698° WDetecting drone signals.
Recommended Actions
GeolocateVisualize events on an interactive map
ReportGenerate a contextual report based on the conversations
AlertSet an alert for similar future events
TaskRetask sensors to continue searching using this context
The complete RIA solution
One system from sensor to operator
RIA combines an intelligent RF sensor network, an agentic pipeline with persistent memory, and an interactive mission interface.
Intelligence at the RF Edge
Process signals where they are collected.
RIA sensors combine software-defined RF hardware with NVIDIA edge computing, allowing signal-processing and AI workloads to execute directly at the sensor.
- Dynamic model selectionRIA selects RF, signal-processing, and AI models for the mission.
- Edge processingAnalyze signals locally to reduce data movement and accelerate time to insight.
- Software-defined sensingChange how the environment is sensed without replacing the sensor infrastructure.
A memory of the RF environment
Understand what is happening now and what happened before.
RIA stores RF observations and derived intelligence as a persistent, searchable history. Operators can retrieve events, compare current conditions with prior activity, and ask semantic questions across time.
- Searchable RF historyRetrieve prior signals, events, transcripts, locations, and metadata.
- Semantic investigationAsk mission-level questions across current and historical RF observations.
- Historical comparisonCompare current conditions with prior activity to identify changes, patterns, and anomalies.
Flexible Deployment
Deploy RIA where the mission requires it.
Use a common mission workflow across connected, disconnected, centralized,
and locally contained operating environments.
Cloud
Centralized orchestration and analysis for connected environments,
including deployments in authorized government cloud environments.
Connected Operations
Mobile / Untethered
Bring RIA closer to the operation when persistent cloud connectivity
is unavailable, undesirable, or mission-limiting.
Disconnected Operations
Edge Hosted
Keep processing and orchestration close to the sensors for low-latency,
private, and locally contained operations.
Local Operations
Built on an AI-Native RF Architecture
Bringing together Deepwave’s edge RF intelligence, DataRobot’s lifecycle management, and NVIDIA’s accelerated foundation, this solution empowers agencies to act with speed, precision, and confidence. It enables the shift from reactive monitoring to proactive intelligence—delivering mission-ready AI at the edge.
“The Radio Intelligence Agent is a new category of capabilities for special operations teams. Developed in collaboration with Deepwave and NVIDIA, this full-stack AI-native solution analyzes RF data in real time, allows analysts to engage through a voice-enabled assistant, and delivers actionable insights that drive mission success.”
– Chad Cisco, DataRobot Chief Customer Officer
Take the Next Step
See what RIA can find. Turn a mission objective into real-time RF intelligence. See how RIA tasks intelligent sensors, executes AI at the edge, and transforms RF observations into answers.
Contact Deepwave Today
Frequently Asked Questions
What makes RIA different from a traditional RF intelligence platform?
Traditional systems expose radio configuration and analysis complexity to the operator. RIA accepts mission-level intent, translates it into sensor tasking and model selection, and returns actionable intelligence.
Does the operator need to be an RF expert?
No. RIA’s agents translate the operator’s mission into the technical actions required to configure sensors, select models, process observations, and retrieve relevant history.
Can RIA operate without persistent cloud connectivity?
RIA is designed for flexible deployment, including mobile, untethered, edge-hosted, on-premises, and air-gapped operating environments.
What does “RF memory” mean?
RIA logs observations and derived intelligence into persistent stores, creating a time history that can be searched, compared, summarized, or queried semantically.