Environmental Documentation
Bill of Material
TVA Today AI
Non-NPG CAP
Azure FEWS CUA
Azure Nuclear Permitting Solution
AWS Transcribe
Thinklabs
Specification Intelligence
Trade Chat
Amazon Connect
Enscape
Arkio
Talkwalker
Improve ASSIST Application Help
The AI is intended to solve the problem of users needing to sift through multiple documents to find help for specific ASSIST system functionalities. It aims to modernize applicati…
ASSIST Global Search and Inference
The AI is intended to solve the problem of inefficient information retrieval within the ASSIST system, where users currently spend up to 5 minutes per search due to a basic keywor…
ASSIST Auto Copy and Summarize
The AI is intended to solve the problem of significant manual effort and time spent on data entry within the end-to-end acquisition workflow, where data is received in various fil…
ASSIST ECF Autoclassification and Summary
The AI is intended to solve the problem of manual document review and categorization by Contracting Officers (COs) within the ASSIST Electronic Contract File (ECF) system. Current…
Leveraging Retrieval Augmented Generation (RAG) AI to Power Outcome-Based Contracting
The AI is intended to solve the problem of federal acquisition teams struggling to write clear, concise, outcome-based requirements, which often leads to incomplete or undesirable…
SINSpector: Using Generative AI to Enforce Scope and Compliance
The AI, named SINSpector, is intended to solve the problem of efficiently and accurately identifying prohibited or out-of-scope items listed on GSA Advantage, as well as determini…
Content Management Analysis System Pilot
The AI is intended to solve the problem of automating data extraction from PDF, Excel, and Word documents stored in an isolated data lake. It aims to develop a prototype web appli…
Acquisition Analytics
This AI is intended to solve the problem of classifying transactions within the Government-wide Category Management Taxonomy, which helps category managers accurately view the dis…
Category Taxonomy Refinement Using NLP
The AI is designed to address the challenge of maintaining an accurate, scalable, and contextually relevant taxonomy classification system for agency data. Traditional manual clas…
FAS Catalog Platform - Virtual Assistant
The AI is intended to solve the problem of users struggling to quickly find help and support documentation within the extensive FCP system. Currently, users often resort to contac…