Stay Ahead in Data Engineering

FOR IMMEDIATE RELEASE

Vienna, VA — July 27, 2026 — Clear Fracture LLC, developer of Belvedere™, the Agentic Data Manager, today announced that it has achieved “Awardable” status through the Chief Digital and Artificial Intelligence Office’s (CDAO) Tradewinds Solutions Marketplace.

The Tradewinds Solutions Marketplace is the premier offering of Tradewinds, the Department of War’s (DoW’s) suite of tools and services designed to accelerate the procurement and adoption of Artificial Intelligence (AI)/Machine Learning (ML), data, and analytics capabilities.

Belvedere puts AI agents to work as data engineers. Analysts and mission owners describe what they need in plain language; Belvedere’s agents discover the source data, design the transformations, and compile them into governed, production-ready pipelines that run on the organization’s existing infrastructure. The agents build the pipeline; they are not the pipeline. Every pipeline they produce is transparent, auditable, and repeatable, and it runs as ordinary code, keeping operations cost-efficient at mission scale.

“Mission teams lose too much time wiring data together by hand, and the systems that result are hard to trust and hard to maintain,” said Brian Frutchey, Chief Technology Officer of Clear Fracture. “Belvedere’s agents do that engineering work in the open. Every pipeline they build can be inspected, audited, and run again tomorrow. Awardable status through Tradewinds gives DoW customers a direct path to put that capability on contract.”

AI agents are great at building data pipelines that look like they work until you dig into the results.

Write-audit-publish (WAP) helps fix that. Stage the data, audit it against a declared contract, and only publish once every clause passes. Netflix popularized this pattern in 2017.

A pipeline that finishes successfully is not the same as one whose output is correct.

We’ve built a number of internal skills to make our own data pipelines safer, and this one felt useful enough to release as a free WAP skill for coding agents.

The first test was on Netflix’s Top 10 dataset. The initial run stopped at the gate. Our contract said every film should have “N/A” as the season title, but the agent found nine rows that didn’t match. The contract was wrong, not the data. We fixed it, started a fresh run, and the second attempt published cleanly, with the total reconciling to exactly 185,656,120,000 hours viewed.

We ran it again on an NFL play-by-play pipeline (converting play description strings into structured stat tables). It caught a parser bug that left 1,723 completed passes without matching receptions, exactly the kind of thing a "successful" run hides.

Below, we dig a bit more into how the skill works. Give it a read, or point your coding agent at this URL and try it yourself.

Belvedere uses AI agents to build the data pipeline, not to be the pipeline. The agents handle the design work: profiling sources, drafting transforms, and wiring governance. What they produce is a transparent, repeatable pipeline your team can read, audit, and run cheaply.

This walkthrough shows how that plays out for mission operations, starting from raw, fragmented sources, scoping a data contract, and landing a governed data product with lineage and access controls intact.

Want to see it on your own data? Book a demo and we'll tailor it to your environment.