Aginsky Capital Group, LLC

Aginsky Capital Group, LLC

aginskycapital.com

Portland, Oregon, United States
1-10 employees

About Aginsky Capital Group, LLC

tiny home developments, private company investments, value-add strategies, small to midsize companies, property management, government leased buildings, asset valuation, value-add projects, medical facilities investment, risk assessment, self-storage facilities, urban real estate development, real estate portfolio, industrial properties, transaction due diligence, real estate investment, asset repositioning, other financial investment activities, portfolio management, structured debt

Decision Makers at Aginsky Capital Group, LLC

1 contact

Alexander Aginsky

Managing Director

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17 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

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Aginsky Capital Group, LLC's Position in the StackWho Database

  • 3,285 companies in Oregon are in the StackWho database.

Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated July 2026.

Frequently Asked Questions

What technology does Aginsky Capital Group, LLC use?

Aginsky Capital Group, LLC uses Google Cloud Hosting, Nginx, Mobile Friendly, Google Tag Manager, WordPress.org, reCAPTCHA, and 11 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Aginsky Capital Group, LLC?

StackWho has verified email addresses for 1 decision maker at Aginsky Capital Group, LLC. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Aginsky Capital Group, LLC directly for sales, recruiting, or partnerships.

Can I export Aginsky Capital Group, LLC's contact data?

Yes. StackWho Pro members can export decision maker contact data for Aginsky Capital Group, LLC and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.