Reveal News
Driven by curiosity and built on purpose, this is where bold thinking meets thoughtful execution. Read more about how we are transforming ideas into action.
FEATURED
Reveal Advances Integrated Methods to Improve Census Coverage
At the 2026 Joint Statistical Meetings (JSM), Reveal Labs shared research developed in collaboration with NORC at the University of Chicago on a question central to the future of federal statistics: How can organizations improve census coverage for hard-to-count populations?
2-min read | August 5, 2026
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WHITE PAPER
Synthetic Data Applications for Federal Statistics
This paper explores the diverse ways in which synthetic data are used in a federal context, the unique concerns federal agencies face when integrating it into an existing workflow and presents solutions that have worked to deploy synthetic data systems.
PRESENTATION
AI Language Translation
Our AI translation evaluation framework rigorously measures translation quality through a mixed-methods approach. By combining in-depth cognitive interviews with structured, Likert-scale surveys, we assess not only the clarity and accuracy of AI-generated translations but also their ease of comprehension across populations.
WHITE PAPER
SAS to Python AI-Driven Translation
Our solutions enable organizations to operate more efficiently while freeing teams to focus on strategic, high-impact initiatives rather than repetitive work. Leveraging advanced AI models, we automate labor-intensive tasks, improving accuracy, ensuring best practices, and reducing manual effort.
WHITE PAPER
New Construction Activity Detection and Classification via Satellite Imagery and Machine Learning
This experimental data product transforms construction monitoring with satellite imagery and computer vision for faster decisions, lower risk, and improved operational efficiency.
VIDEOS
The Real Reveal
Watch The Real Reveal, a series where our team shares how we are building a company rooted in passion, integrity, and excellence. From transformation strategy to geospatial analysis and advanced analytics, these are the tools, stories, and people behind the solutions Reveal delivers every day.
SPOTLIGHT
Our Milestones
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August 2026
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April 2026
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March 2026
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March 2026
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November 2025
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August 2025
Celebrating a decade of The Opportunity Project (TOP); Reveal's support for open data innovation in government and public impact solutions.
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July 2025
Reveal named an AWS Select Tier Services Partner—expanding cloud, AI/ML, and security capabilities for public-sector clients.
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July 2025
Reveal completes the SBA 8(a) program, marking a new growth phase with proven capabilities in AI, analytics, and modernization.
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June 2025
A case study on detecting and fixing data skew in Spark on AWS EMR using kurtosis, skewness, and salting to improve performance and cost efficiency.
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Reveal data scientists Cameron Milne, Ellie Mamantov, and John Lynagh will present a new SAS to Python product at FedCASIC on April 23, 2025. The product is supporting the U.S. Census Bureau’s migration of SAS programs to Python by performing automated translations quickly and inexpensively compared with other code translation products on the market. Read more about Reveal’s work migrating SAS Codebases to Python here.
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April 2025
Nicole Cabrera earns AAPOR’s 2025 Burns “Bud” Roper Fellowship, recognizing rising leaders in public opinion research.
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January 2025
Reveal is partnering with Rutgers University's SEED2S+X Program to provide experiential learning opportunities for their students through an Externship program. Reveal's Innovation Lab developed curriculum for Rutgers Students to apply their data science studies to federally scoped challenges. As Rutgers is a land grant university, students are tasked with using public United States Department of Agriculture (USDA) data sets to hone their technical capabilities. -
January 2025
In support of our federal partner Federal Motor Carrier Safety Administration (FMCSA), Subash Thota and Taylor Wilson attended the Transportation Research Board Annual Meeting with Vision Zero, a nonprofit campaign to reduce the number of motor carrier-related deaths to zero. This solution was developed and implemented by Reveal for the FMCSA. -
December 2024
Reveal won the Department of Commerce Bronze Medal in for its work on StatVentures and Topx Toolkit. The award is given annually to an organization that demonstrates superior performance in impacting the DOC or one of its units' missions.
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December 2024
Reveal earned a Level 3 maturity rating under the Capability Maturity Model Integration (CMMI) framework for Services and Development. The CMMI framework sets the standard for optimizing performance, ensuring product quality, and maintaining consistent delivery. Achieving a Level 3 rating reflects Reveal’s strong commitment to continuous process improvement at both the organizational and individual project levels. But this isn’t just about us—it’s about delivering more value to our clients. Our focus on refining processes means we’re always improving, guaranteeing better outcomes and real solutions to their greatest challenges.
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August 2024
Senior Data Scientist Cameron Milne presented Ensemble Retrieval Strategies for an Improved NAICS Search Engine in the U.S. Census Bureau at the 2024 Joint Statistical Meetings (JSM) in Portland, Oregon. The presentation and later journal submission details his experiments in building a more performant search engine using Large Language Models (LLMs). Experiments include replacing sparse embeddings with dense embeddings, chunking documents and combining context windows, applying complementary re-ranking algorithms, and more. Dr. NAICS, the platform where the search engine is available, is among the first known implementations of AI in the U.S. Census Bureau.
Read the full story here and the submission paper here.
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June 2024
Reveal partners with University of Michigan's School of Information on data science projects designed to expand learning opportunities for students interested in working in or with the Federal government. Projects range from assessing OCR model performance at the National Archives along with UI/UX support for self-serve applications at the U.S. Census Bureau.
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April 2024
This month, Reveal presented four projects at two major industry convenings: the Federal Committee on Statistical Methodology and FedCASIC. At FCSM, Alex Zakrzeski showed off the ACS Autocoder, Pavani Samala talked about the implementation of a large language model for legislative research, and Jess Huang detailed efforts to improve response rates with better contact information. At FedCASIC, Taylor Wilson presented an overview of Census' AI initiatives to detail how we are bringing cutting edge LLM technology to federal statistics. -
February 2022
Reveal is working with the Census Bureau to modernize its Construction Program by supporting the implementation of satellite imagery to track the progress of construction sites and starts. This modernized survey collection methods dating back to the 1950s. Read more here. -
September 2021
This article explains "emotion AI," or E-AI, how it can be used by companies and organizations, and risks associated with it, concluding with a suggestion for readers to consider its potential limitations and consult with Reveal to develop a risk mitigation strategy. Read more here. -
May 2021
Reveal Vice President for Research and Development Amish Chudasama outlines three steps business leaders can take to develop a sound AI governance stategy: build a compelling business case; come up with a strategy that guides development of AI embedded across an organization's ecosystem; and seek guidance from AI governance experts. Read more here. -
April 2021
Reveal Vice President for Research and Development Amish Chudasama makes the case for business leaders to incorporate AI governance into their organizations, arguing that AI is increasingly being used by businesses and needs to be implemented in an understandable, transparent, and ethical manner. Read more here. -
March 2021
This article discusses AI's capability to finely analyze images in a variety of contexts, including healthcare, life science, and the US Food and Drug Administration (FDA). These capabilities allow for drawing insights more efficiently than if one were just using the human eye, and provide upskilling opportunities for workers. Read more here.
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January 2021
This article explains the problem of fraud, waste, and abuse (FWA) in the healthcare sector, and the necessity of AI solutions to detect it given the large swath of records in the industry. Reveal offers its services in creating and implementing solutions that analyze large amounts of data to look for FWA and non-compliance. Read more here.