FundedIQ
Artificial Intelligence

GigaIO: Funding, Investors & Team (Oct 2026)

Based in Carlsbad, California, GigaIO provides affordable AI and HPC architectures that offer the flexibility of the cloud at a lower overall cost. Through its universal infrastructure fabric, FabreX™, and open architecture utilizing industry-standard PCI Express/CXL technology, GigaIO removes limitations of traditional server setups, allowing resources to be utilized more efficiently. This allows data centers to adjust the performance of their systems as needed, optimizing their investment based on evolving workloads and business needs. gigaio.com.

gigaio.com LinkedIn Carlsbad, United States 11-50 employees
Artificial Intelligence (AI) Computer Electronics Information Technology Machine Learning Network Hardware Network Security Software
Total raised
$35.7M
Rounds
2
Latest
Series B
Jul 2025

GigaIO has raised $35.7M across 2 funding rounds on record, the most recent a Series B of $21.0M announced in Jul 2025.

That round is above the $6.0M median round size for Artificial Intelligence companies tracked on FundedIQ over the last two years.

GigaIO Company Profile and Key Stats

Total funding raised
$35.7M
across 2 rounds on record
Funding rounds on record
2
Latest funding round
Series B
$21.0M in Jul 2025
Employees
11-50
reported band
Headquarters
Carlsbad, United States

Latest funding round on record: Jul 2025.

GigaIO Funding Rounds

Date
Round
Amount
Series B
$21.0M
Series B
$14.7M

GigaIO raised $14.7M in a Series B announced in Sep 2021.

3.8 years later, a Series B of $21.0M was announced in Jul 2025.

GigaIO Founders and Leadership Team

Name
Role
Contact
Alan Benjamin
Founder
Locked

Contact details for the GigaIO team: 1 of 1 has an email address on file.

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GigaIO Funding Compared to Other Artificial Intelligence Startups

Segment
Companies
Median round
30,234
$7.6M
4,401
$31M

GigaIO's latest round of $21.0M is above the median round in Artificial Intelligence. Medians cover the last 24 months of disclosed rounds.

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GigaIO Funding FAQs

What does GigaIO do?

Based in Carlsbad, California, GigaIO provides affordable AI and HPC architectures that offer the flexibility of the cloud at a lower overall cost. Through its universal infrastructure fabric, FabreX™, and open architecture utilizing industry-standard PCI Express/CXL technology, GigaIO removes limitations of traditional server setups, allowing resources to be utilized more efficiently. This allows data centers to adjust the performance of their systems as needed, optimizing their investment based on evolving workloads and business needs. gigaio.com.

How much funding has GigaIO raised?

GigaIO has raised $35.7M across 2 rounds on record. The most recent is a Series B of $21.0M announced in Jul 2025.

When did GigaIO last raise funding?

GigaIO's most recent funding round on record is a Series B of $21.0M, announced in Jul 2025.

Who founded GigaIO?

FundedIQ lists Alan Benjamin (Founder) at GigaIO.

Where is GigaIO headquartered?

GigaIO is based in Carlsbad, California, United States.

How many employees does GigaIO have?

GigaIO is in the 11-50 employee band.

How does GigaIO's funding compare to other Artificial Intelligence startups?

GigaIO's latest round of $21.0M is above the $6.0M median round size for Artificial Intelligence companies on FundedIQ across 7,241 tracked companies over the last two years.

About FundedIQ's GigaIO Funding Data

FundedIQ tracks announced funding rounds and refreshes this profile every week. Round dates, stages and amounts are normalised to a single format, converted to US dollars, and de-duplicated: two records of the same round announced days apart are merged, and two genuinely different rounds are kept apart on the amounts they disclose. Amounts shown are the disclosed figures only — a round announced without a number is listed and excluded from the total rather than estimated.

Employee counts are reported bands, not exact headcounts. Founder and executive names carry the job title on record. Anything we do not hold for GigaIO is left off this page rather than filled in.

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