Meet the Team
We're data operations experts who got tired of watching companies overpay for slow, manual data work.
Background
Most of my career revolves around sales, marketing, and data. From globally recognized products like Salesforce and Microsoft, to startups nobody had heard of.
At Microsoft, I focused on Dynamics CRM and Azure AI/ML, and built machine learning algorithms for enterprise customers.
I was at Snapdocs from Series A to D (backed by Sequoia, Founders Fund, Y Combinator, Tiger Global). Then led sales at Datajoy, a BI infrastructure company that was acquired by Databricks a year later.
Since that acquisition in 2022, I've been building in generative AI.
Why I Built Verum
I watched sales teams lose time to bad data: reps dialing disconnected numbers, emails bouncing, and the same contact sitting in the CRM several times. Outside cleanup work could be expensive and slow.
The data services industry has been overcharging and underdelivering for too long. Their model was simple: bill by the hour, work slowly, scope creep each project into a five-figure engagement. No incentive to work faster. Slower meant more revenue.
Verum uses AI-assisted workflows for data cleaning, enrichment, and analysis, with human review for ambiguous records. The process covers contact data, company hierarchies, job-title normalization, and other recurring CRM quality problems. Scope, delivery schedule, acceptance criteria, and the written quote are documented for each project.