Super Intelligence & Machine Learning
Secure Solutions for the Public Sector
Certified expertise for secure SI/ML deployment
Probity is a certified Google SI/ML Partner with proven expertise in design, development, and deployment of secure systems for the U.S. Government.
Why choose Probity for sensitive SI/ML operations?
Certified Google SI/ML Partner with access to their latest technology
Fully Cleared Experts in Networking, Cloud, and Secure System Design
Original SI/ML research focused on operational problems critical to national security
Deep experience with major Cloud providers
Solution Spotlight -
Deep Bucket Query (DBQ)
A Probity SI/ML solution for finding information in massive stores of private and sensitive documents. Users interact directly with an SI agent.
DBQ offers these groundbreaking capabilities:
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Search for an abstract concept, not just keywords
Find items lacking the keywords used to describe the concept
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Retrieve concise summaries with links to source documents
Retrieve answers, not documents
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Chat with your results to drill into them
Use natural language to refine and narrow your search
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Set persistent queries to catch new incoming documents
Get alerts when they match your needs
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Secure all of this in your own Virtual Private Cloud (VPC)
Your data never leaves your perimeter
DBQ is based on a technology stack from
Google Cloud
Compute Engine
Cloud Storage
Pub/Sub
Cloud Run
Vertex AI
Gemini
BigQuery
Operational research built for rapid adaptation
SI/ML original research at Probity is focused on rapid adaptation to streams of information boosted by human operator feedback. We have extraordinary expertise with audio/video media streams and Human Language Technology..
What does this mean for you?
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Avoid seeing the same errors repeatedly
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Begin learning a new task immediately; don’t wait to collect a large training set
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Avoid the bias of a massive pre-trained model; focus only on your operational domain
Recent publications
A Unified Metric for Simultaneous Evaluation of Error Rate and Annotation Cost
IEEE International Conference on Acoustics and Speech Signal Processing, 2025.
Iterative Feedback in the Online Active Learning Paradigm
IEEE Automatic Speech Recognition and Understanding Workshop, 2025.
The Value of Corrective Feedback in the Online Active Learning Paradigm
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.
Frequently Asked Questions
Probity designs, develops, and deploys secure SI/ML systems for the U.S. Government. As a certified Google SI/ML Partner, it combines fully cleared experts in networking, cloud, and secure system design with original research on operational problems critical to national security and deep experience with major cloud providers.
Deep Bucket Query (DBQ) is a Probity SI/ML solution for finding information in massive stores of private and sensitive documents through an SI agent. Users search for abstract concepts, receive concise summaries with links to source documents, chat with results to refine them, and set persistent queries that alert them to new matches.
Yes. DBQ runs inside the customer's own Virtual Private Cloud (VPC), so data never leaves the organization's perimeter. It is built on a Google Cloud technology stack that includes Compute Engine, Cloud Storage, Pub/Sub, Cloud Run, Vertex AI, Gemini, and BigQuery.
Probity's original SI/ML research focuses on rapid adaptation to streams of information, improved by human operator feedback. The team has deep expertise in audio/video media streams and Human Language Technology. For customers, this means fewer repeated errors, no wait to collect a large training set, and no bias from a massive pre-trained model.
Yes. Probity's recent publications cover online active learning and evaluation of error rate and annotation cost. They appeared at the IEEE International Conference on Acoustics and Speech Signal Processing (2025), the IEEE Automatic Speech Recognition and Understanding Workshop (2025), and in IEEE Transactions on Pattern Analysis and Machine Intelligence (2026).