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Fort Ross Ventures, VC Fund

Fort Ross Ventures

VC Fund

Redwood City, United States

Fort Ross Ventures is a VC fund in Redwood City focused on Artificial Intelligence and Video. Fort Ross Ventures connects founders with investors, operators, and strategic partners through relationships spanning the United States, Israel, and Eastern Europe. Fort Ross Ventures supports portfolio companies with business development, market access, fundraising guidance, and operational insight throughout different stages of growth. Itsportfolio includes companies involved in digital insurance, personalization technology, cloud security, and mobility platforms, with experience supporting businesses through acquisitions and public market listings.

Total investments:
4
Last investment:
Lead investor:
0%
Fund size:
$235M
Last fund:

Last updated:

Industries Fort Ross Ventures invests in

Artificial IntelligenceVideoFinTechFinancePayments

Stages Fort Ross Ventures invests in

Series BSeries AVenture - Series Unknown

Countries Fort Ross Ventures invests in

IsraelUnited States

Investment Focus

Industry

  • Artificial Intelligence 2 (50%)
  • Video 1 (25%)
  • FinTech 1 (25%)
  • Finance 1 (25%)
  • Payments 1 (25%)
See all 19 industries →

Stage

  • Series B 2 (50%)
  • Series A 1 (25%)
  • Venture - Series Unknown 1 (25%)

Country

  • Israel 2 (50%)
  • United States 1 (25%)

Investments

CompanyDescriptionRoundLinks
Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company’s end-to-end deep learning acceleration platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment, including cloud, edge or mobile. With Deci’s platform, developers can increase deeplearning model inference performance by 3x-15x, on any hardware, while still preserving accuracy. This translates directly into new use cases on limited hardware, substantially shorter development cycles, and reduced compute costs by up to 80%. The platform is powered by Deci’s Automated Neural Architecture Construction (AutoNAC) technology, an algorithmic optimization engine that squeezes maximum utilization out of any hardware. The AutoNAC engine contains a Neural Architecture Search (NAS) component that redesigns a given trained model’s architecture to optimally improve its inference performance (throughput, latency, memory, etc.) for specific target hardware while preserving its baseline accuracy. Deci achieved a record-breaking 11.8x accelerated inference speedup on Intel CPUs at MLPerf Industry Benchmark and has been named to the CBInsights top 100 AI companies. Led by a team of world-class deep learning experts, Deci lets AI developers focus on what they do best - creating innovative AI-based solutions for our world’s most complex problems. $25M / Series B / Jul 13, 2022
Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company’s end-to-end deep learning acceleration platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment, including cloud, edge or mobile. With Deci’s platform, developers can increase deeplearning model inference performance by 3x-15x, on any hardware, while still preserving accuracy. This translates directly into new use cases on limited hardware, substantially shorter development cycles, and reduced compute costs by up to 80%. The platform is powered by Deci’s Automated Neural Architecture Construction (AutoNAC) technology, an algorithmic optimization engine that squeezes maximum utilization out of any hardware. The AutoNAC engine contains a Neural Architecture Search (NAS) component that redesigns a given trained model’s architecture to optimally improve its inference performance (throughput, latency, memory, etc.) for specific target hardware while preserving its baseline accuracy. Deci achieved a record-breaking 11.8x accelerated inference speedup on Intel CPUs at MLPerf Industry Benchmark and has been named to the CBInsights top 100 AI companies. Led by a team of world-class deep learning experts, Deci lets AI developers focus on what they do best - creating innovative AI-based solutions for our world’s most complex problems. $21M / Series A / Oct 20, 2021
Insurify is an internet company that features a software platform that specializes in car insurance. Its software platform utilizes artificial intelligence, language processing, and chatbots it provides personalized recommendations that help its users to decide about their car insurance.It was founded in 2013 and is headquartered in Cambridge,Massachusetts. $100M / Series B / Sep 01, 2021
ThetaRay develops a transaction monitoring platform to identify signs of money laundering. Its AI-based anti-money-laundering (AML) platform automatically scans and identifies illicit transaction activity at banks and other financial institutions. It also utilizes algorithms for advanced cybersecurity and operational efficiency. Its platformanalyzes large volumes of cross-border payments and complex transaction patterns to uncover hidden risks, improving compliance and reducing false positives. $6M / Venture - Series Unknown / Jul 01, 2018

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FAQ

What does Fort Ross Ventures invest in?

Fort Ross Ventures invests primarily in Artificial Intelligence, Video and FinTech startups, most often at Series B and Series A stage. Most of the 4 investments tracked by Shizune back companies in Israel. The Investment Focus section breaks down every industry, stage and country in the portfolio.

When did Fort Ross Ventures last invest?

The most recent investment recorded for Fort Ross Ventures closed in Jul 2022. Shizune tracks 4 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.

Is Shizune's investor data accurate?

Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Oct 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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