Sold by: Booz Allen Hamilton
Deployed on AWS
R.AI.DIO® Signal Triage by Booz Allen Hamilton automates RF signal detection and prioritization, helping signals analysts triage large datasets faster than manual methods.
Overview
R.AI.DIO® Signal Triage by Booz Allen Hamilton
R.AI.DIO® Signal Triage is an automated RF signal analysis solution built by Booz Allen Hamilton, a firm with decades of experience in signals intelligence and defense analytics. Designed for signals analysts in defense, intelligence, and spectrum management environments, R.AI.DIO® Signal Triage reduces the time required to identify, characterize, and prioritize signals of interest within large radio frequency datasets.
How It Works
R.AI.DIO® Signal Triage ingests unprocessed radio frequency data files, applies user-defined parameters to detect signals or areas of interest, and produces a structured output summary for further manual exploration. The workflow is straightforward:
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Ingest: Supply raw RF data files in SigMF format
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Configure: Define detection parameters such as frequency ranges, signal characteristics, and priority thresholds.
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Process: The tool automatically scans the dataset, detecting and characterizing signals that match your criteria.
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Output: Receive summary output files in CSV, JSON, or SigMF cataloging all identified signals of interest with relevant metadata.
Key Capabilities
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Automated Signal Detection and Prioritization: Replaces labor-intensive manual spectrum analysis, enabling analysts to focus on high-priority signals rather than sifting through raw data.
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Scalable Processing: Handles large RF datasets, allowing organizations to process volumes of collected spectrum data that would be impractical to review manually.
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Workflow Integration: Designed to fit into existing signals analysis pipelines, supporting data ingestion from Amazon S3 and container orchestration via Amazon ECS.
Use Case Example
A defense SIGINT analyst collecting hours of spectrum data during a mission can use R.AI.DIO® Signal Triage to automatically scan the entire collection, surfacing only the signals that match mission-relevant parameters. This reduces analyst workload and accelerates time-to-decision for mission-critical intelligence.
Deployment
R.AI.DIO® Signal Triage is delivered as a container product on AWS Marketplace. It can be deployed on Amazon ECS within your AWS environment.
Getting Started
To request a guided demonstration or discuss a pilot deployment, contact the Booz Allen Hamilton team at radio@bah.com . The team will work with you to scope your use case, configure detection parameters, and validate results against your operational data.
Requirements and Limitations
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Requires an active AWS account with permissions to deploy container workloads.
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Input data must be unprocessed radio frequency data in supported file formats.
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The tool detects and characterizes signals of interest but does not demodulate or decode signal content.
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Output is a summary file for analyst review; downstream exploitation requires separate tooling.
For detailed technical prerequisites, supported input formats, and deployment guidance, contact the Booz Allen Hamilton team.
Highlights
- Automated detection, characterization, and prioritization of signals of interest within large RF datasets, replacing labor-intensive manual spectrum analysis.
- Deploys as a container on AWS using Amazon ECS allowing for integration into existing signals analysis pipelines and workflows without requiring changes to existing processes.
- Efficiently processes large volumes of unprocessed radio frequency data at scale, surfacing signals matching user-defined parameters and producing structured summaries.
Details
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Delivery method
Supported services
Delivery option
ECS Container Image
Latest version
Operating system
Linux
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
R.AI.DIO® Signal Triage 8TB | R.AI.DIO® Signal Triage 8TB | $19,200.00 |
R.AI.DIO® Signal Triage 16TB | R.AI.DIO® Signal Triage 16TB | $38,400.00 |
R.AI.DIO® Signal Triage 32TB | R.AI.DIO® Signal Triage 32TB | $76,800.00 |
R.AI.DIO® Signal Triage 64TB | R.AI.DIO® Signal Triage 64TB | $153,600.00 |
R.AI.DIO® Signal Triage 128TB | R.AI.DIO® Signal Triage 128TB | $307,200.00 |
Vendor refund policy
No refunds
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
ECS Container Image
Supported services: Learn more
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Initial release for the R.AI.DIO® Signal Triage application.
Additional details
Usage instructions
Usage of the application assumes following pre-requisites have already been installed on the EC2 instance: AWS CLI, Docker Engine.
- On a remote machine, SSH into the EC2 instance with X11 forwarding enabled: $ ssh -YC -I path/to/your_ec2_key.pem user@host
- Pull down the image using the provided ECS or Pull commands provided by AWS.
- To query and stream data from S3 buckets, the application uses the default AWS profile credentials. Set the credentials for this profile to give access to the desired S3 buckets: $ aws configure sso --profile default Verify the default profile is using the correct access_key, secret_key, and region: $ aws configure list --profile default
- Download the raidio_signal_triage_1.0.1.tar.gz file located here https://bah-aws-marketplace-docs.s3.us-east-1.amazonaws.com/Radio/raidio_signal_triage_1.0.1.tar.gz to the EC2 instance. Un-tar this file to set up required runtime files and directories used by the Docker image, plus the start script titled start.sh. $ tar -xvf raidio_signal_triage_1.0.1.tar.gz
- To deploy the application, run the start.sh script. For detailed installation steps, further usage instructions, and troubleshooting tips, see the user guide located here https://bah-aws-marketplace-docs.s3.us-east-1.amazonaws.com/Radio/R.AI.DIO+Signal+Triage+1.0.1+User+Guide.pdf
Support
Vendor support
R.AI.DIO® Signal Triage is supported by the Booz Allen Hamilton team. For technical support, deployment assistance, product questions, contact the team via email at radio@bah.com .
The support team can assist with product deployment, configuration of detection parameters, troubleshooting processing issues, and guidance on integrating R.AI.DIO® Signal Triage into your existing signals analysis workflows.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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