SAIC Ingegneria

saicingegneria.it

civil engineering

saicingegneria.it

Genoa, Liguria, Italy

1-10 employees

LinkedIn Profile

SAIC Ingegneria's Tech Stack

AI/ML

Decision Makers at SAIC Ingegneria

1 contact

Federico Valsuani

Founder & Chief Technical Officer

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1 technologies detected · 1 decision maker · Emails available

Sales Outreach Angle

SAIC Ingegneria uses AI among other technologies. Use StackWho to identify the right decision-maker email for targeted sales outreach, recruiting, or partnership development.

SAIC Ingegneria's Position in the StackWho Database

• SAIC Ingegneria is 1 of 1,997 civil engineering companies tracked in StackWho.
• 1,982 civil engineering companies in our database have verified decision-maker emails (99% of the cohort).
• 212 companies in Liguria are in the StackWho database.
• 550 civil engineering companies are in the 1-10 employee range (same size as SAIC Ingegneria).

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 SAIC Ingegneria use?

SAIC Ingegneria uses AI. This data is sourced from StackWho's technology detection engine.

How do I contact the decision makers at SAIC Ingegneria?

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

What industry is SAIC Ingegneria in?

SAIC Ingegneria operates in the civil engineering industry, headquartered in Genoa, Liguria, Italy. StackWho tracks technology stacks and decision maker contacts for companies across all industries.

Can I export SAIC Ingegneria's contact data?

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