Fiddler for Government

Strengthening National Security with Mission-Critical AI Observability

Government Agencies Trust Fiddler with AI Innovation

Fiddler partners with government agencies with a proven AI Observability platform for sophisticated model development and deployment along with advanced AI/ML techniques.

AI Observability dashboard showcasing UMAP visualization with data clusters and production model visualizations for government use cases, with a play button icon.

IQT first invested in Fiddler in 2019 because we believed that explainability and transparency would be essential to the responsible adoption of Artificial Intelligence across the U.S. government. Fiddler’s recent success with Project AMMO is a clear demonstration of how AI can and should be built to support our national security in line with the President’s Executive Order on safe, secure, and trustworthy AI.

A.J. Bertone

Managing Partner, InQTel

Explaining why sonar plane images are misclassified as ships

Image Explainability for Autonomous Vehicles

Fiddler explains predictions in ML models powering autonomous vehicles, such as aerial drones and unmanned underwater vehicles, to ensure they are high-performing and accurate during missions across ground, air, surface and subsurface environments.

Sophisticated image explainability helps:

Identify anomalies to anticipate potential threats and navigation

Track differences in imagery or sensor data compared to training-time

Enhance human decision-making in high-stakes post-mission analysis scenarios

Model Monitoring Sensor Data

Fiddler monitors unstructured models to detect sensor data drift and identify outliers.

Improve target precision with high performance model monitoring across different battlefield environments

Receive real-time alerts on potential threats from image data inconsistencies

Make better real-time decisions with deep understanding of the sensor data

Monitor drift and identify outliers on sensor data

Monitor NLP and CV models to track and get real-time alerts on anomalies and data drift

Incorporate human-in-the-loop decision making on shifting communication patterns

NLP and CV Monitoring for Intelligence and Surveillance

Fiddler monitors Natural Language Processing and Computer Vision models to track and get real-time alerts on anomalies and data drift.

Monitor changes in traffic, signals, and communication patterns

Incorporate human-in-the-loop process for assessment and decision making

Defense Innovation Unit Issues Success Memo to Fiddler AI

Fiddler AI Observability helps the Department of Defense to deploy ML and LLM models safely and reliably at scale, while ensuring responsible AI.