About aprevis
ki anomalieerkennung, it services & it consulting, deep learning, artificial intelligence, time series analysis, ai in enterprise it, system integration, high-availability systems, data storage, predictive maintenance, custom software development, data-driven insights, cloud computing, services, ai explainability, data migration and patching, explainable ai, time series database, data collection technology, performance analysis
aprevis's Tech Stack
Decision Makers at aprevis
1 contactDennis Netzer
Co-Founder
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aprevis's Position in the StackWho Database
- • aprevis 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).
- • 1,810 companies in Hesse are in the StackWho database.
- • 97,391 information technology & services companies are in the 1-10 employee range (same size as aprevis).
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 aprevis use?
aprevis uses WordPress.org, Mobile Friendly, Apache. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at aprevis?
StackWho has verified email addresses for 1 decision maker at aprevis. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach aprevis directly for sales, recruiting, or partnerships.
What industry is aprevis in?
aprevis operates in the information technology & services industry, headquartered in Darmstadt, Hesse, Germany. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export aprevis's contact data?
Yes. StackWho Pro members can export decision maker contact data for aprevis 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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