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// THE TEAM

Who builds this.

We're not a 20-person firm pretending to be enterprise. We're a founder, an AI research system, and a stack of purpose-built agents. Every engagement gets the full stack.

Alexander Snyder, founder of PurviewX

Alexander Snyder, MBA, CFI

Founder

Embedded AI leader across six industries: energy, insurance, distribution, legal, enterprise security, and workplace safety. Systems running in production on three clouds, plus two products of his own. Also the author of the list of things that did not work, which is published here on purpose. Holds an MBA and a Certified Forensic Interviewer credential, which is where the habit of assuming a confident answer is wrong until it survives questioning comes from.

The work starts with joining the team: learning every name, attending every standup, understanding the business before touching the data. This isn't a philosophy. It's the only approach that consistently ships production systems.

Based in Portland, OR. Available for embedded engagements nationwide.

linkedin.com/in/alexandersnyder
Ed

Edwin

AI Research System

43,000 lines of Python, with 2,827 of 2,842 tests passing. Edwin is our internal AI research system: a living memory architecture that verifies what it stores and challenges what it believes before it commits anything to memory. A provisional patent application was filed with the USPTO in February 2026 (application 63/991,739), with 10 claims validated against 35 experiments. Two of those experiments disproved what we expected, and the filing says so. A provisional application is not a granted patent, and we are not going to let it read like one.

Edwin uses multi-model adversarial verification, where AI models argue with each other to surface the truth. It runs agentic pipelines, maintains cryptographic proof of knowledge state, and continuously consolidates its understanding through counterfactual challenges.

Everything we learn building Edwin flows directly into client work. The same verification discipline that powers our R&D powers your data warehouse.

Most AI consultancies bolt ChatGPT onto your problems and call it innovation. We built our own. Edwin is the reason we assume our own output is wrong until it survives a challenge, which is why we catch things other firms miss, including in our own work.

We don't build on top of other people's AI. We build our own, and then we bring what we learn to you.

43,000

lines of Python

2,827

of 2,842 tests passing

35

patent experiments

2

of those disproved us

// AGENT STACK

Purpose-built agents deployed for every client engagement.

Data Pipeline Agents

ETL, enrichment, and deduplication. Every pipeline caches before spending, monitors yield per batch, and stops automatically when something breaks.

Verification Agents

Fact-checking and quality gates. Multi-model adversarial verification catches false information before it enters any system, yours or ours.

Analysis Agents

Pattern recognition and anomaly detection. These surface what humans miss in large datasets: cross-domain connections, emerging trends, and contradictions.

Integration Agents

Multi-platform connectors that unify data from five tools into one operational picture. Built to handle the messy reality of enterprise data.