About Trellis AI
hospitals & health care, hospital & health care
Trellis AI's Tech Stack
Other
Cloud
Frontend
Analytics
AI/ML
Design
Database
Communication
DevOps
Mobile
Decision Makers at Trellis AI
2 contactsJacky L.
Co-Founder
Mac Klinkachorn
Co-Founder
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AWS infrastructure signals engineering sophistication. This company likely evaluates cloud cost management, security tooling, observability, and developer productivity solutions.
Trellis AI's Position in the StackWho Database
- • Trellis AI is 1 of 9,965 hospital & health care companies tracked in StackWho.
- • 9,927 hospital & health care companies in our database have verified decision-maker emails (100% of the cohort).
- • 53,147 companies in California are in the StackWho database.
- • 3,402 hospital & health care companies are in the 1-10 employee range (same size as Trellis AI).
Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated August 2026.
Frequently Asked Questions
What technology does Trellis AI use?
Trellis AI uses Gmail, Google Apps, Microsoft Office 365, Amazon AWS, Cloudflare DNS, Mobile Friendly, and 29 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at Trellis AI?
StackWho has verified email addresses for 2 decision makers at Trellis AI. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach Trellis AI directly for sales, recruiting, or partnerships.
What industry is Trellis AI in?
Trellis AI operates in the hospital & health care industry, headquartered in San Francisco, California, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export Trellis AI's contact data?
Yes. StackWho Pro members can export decision maker contact data for Trellis AI and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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Decision Makers
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