Databis.ai

databis.ai

Phoenix, Arizona, United States

1-10 employees

LinkedIn Profile

About Databis.ai

analytics, ai, data science, machine learning, software development, information technology & services, artificial intelligence

Databis.ai's Tech Stack

Decision Makers at Databis.ai

1 contact

Glenn Jimerson

Founder & Product Manager

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12 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

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Databis.ai's Position in the StackWho Database

• Databis.ai is 1 of 194,140 information technology & services companies tracked in StackWho.
• 193,618 information technology & services companies in our database have verified decision-maker emails (100% of the cohort).
• 5,280 companies in Arizona are in the StackWho database.
• 97,391 information technology & services companies are in the 1-10 employee range (same size as Databis.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 Databis.ai use?

Databis.ai uses Cloudflare DNS, Amazon SES, Gmail, Google Apps, Microsoft Office 365, Nginx, and 6 more technologies. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at Databis.ai?

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

What industry is Databis.ai in?

Databis.ai operates in the information technology & services industry, headquartered in Phoenix, Arizona, United States. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export Databis.ai's contact data?

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