Fort Ross Ventures
VC Fund
Grand Cayman, Cayman Islands
Fort Ross Ventures is a VC fund in Grand Cayman focused on Software and Artificial Intelligence. FortRoss Ventures, formerly MoneyTime Ventures, invests in early stage startups with the proven product, technology and go-to-market in the beginning of their international expansion and exponential revenue growth. The firm provides not only capital but give an access to the largest financial institution in CEE (infrastructure, customer base,go-to-market) through establishing the long term partnership (commercial contracts, JVs, other instruments) between the startup and anchor LPs.
- Total investments:
- 41
- Last investment:
- Lead investor:
- 24%
- Fund size:
- $30M
- Last fund:
Last updated:
For AI agents: llms.txt
Industries Fort Ross Ventures invests in
Stages Fort Ross Ventures invests in
Countries Fort Ross Ventures invests in
Round sizes
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
Round size
- Series A
- $3.3M–$21M
- Series B
- $8M–$58M
- Series C
- $7.7M–$75M
Investment Focus
Industry
- Software 9 (22%)
- Artificial Intelligence 9 (22%)
- FinTech 8 (20%)
- Financial Services 7 (17%)
- Information Technology 6 (15%)
Stage
- Series B 9 (22%)
- Series C 9 (22%)
- Series A 6 (15%)
- Series D 6 (15%)
- Seed 3 (7%)
Country
- United States 21 (51%)
- Israel 4 (10%)
- Russian Federation 2 (5%)
- Canada 1 (2%)
- Finland 1 (2%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
|
Abramov Egor
Principal
|
Principal | Total investments: 0 | Find email | |
|
Denis Efremov
Principal
|
Principal | Total investments: 0 | Find email | |
|
Kasanyuk Yulia
General Counsel
|
General Counsel | Total investments: 0 | Find email | |
|
Sharin Fisher
Partner
|
Partner | Total investments: 6 | Find email | |
|
Victor Orlovski
Managing Partner
|
Managing Partner | Total investments: 19 | Find email | |
| See all 9 team members → | ||||
Investments
| Company | Description | Round | Links |
|---|---|---|---|
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Code doesn’t always behave as you expect it to and your team is wasting too much time to understand why. Rookout provides secure, fast, and simple data access, no matter what architecture or where the code is running. By providing the developer with instant, laser-focused data, developer teams can understand their code and see an increase inproductivity, velocity, and efficiency. | $16.2M / Series B / Aug 23, 2022 | |
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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 | |
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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. | Pre-Seed / Jul 13, 2022 | |
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At SegmentStream we partner with growth leaders to drive more revenue from paid media through full-funnel attribution, incrementality measurement and automated cross-channel budget allocation powered by predictive AI. | $2.7M / Seed / Feb 04, 2022 | |
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Fura develops innovative solutions for the logistics market. | $5.5M / Seed / Dec 10, 2021 | |
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Rescale is a cloud simulation platform that enables research scientists and engineers to build, compute, analyze, and scale simulations.The high-performance computing cloud platform delivers intelligent computing for digital R&D and enables more than 300 customers from startups to Fortune 50 enterprises to accelerate design cycles and time tomarket. Rescale gives research scientists and engineers the ability to run their simulation and artificial intelligence workloads on the cloud provider of their choice, using specialized hardware architectures and software templates optimized for their use cases, without any set-up or maintenance. Investors such as Initialized Capital, Keen Venture Partners, SineWave Ventures, Data Collective, ITV Ventures, Jump Capital, and M12 (formerly Microsoft Ventures), as well as Mitsubishi UFJ Capital, Quiet Capital, Streamlined Ventures, Translink Capital, Two Roads Group, Y Combinator, Hitachi Ventures, Nautilus Venture Partners, NVIDIA, Republic Labs, and Samsung Catalyst Fund backs Rescale.In 2011, Joris Poort and Adam McKenzie headquartered the company in San Francisco, California. | $55M / Series C / Nov 23, 2021 | |
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GridGain Systems is revolutionizing real-time data access and processing by offering an in-memory computing platform built on Apache® Ignite™. GridGain solutions are used by global enterprises in financial, software, e-commerce, retail, online business services, healthcare, telecom and other major sectors, with a client list that includes ING,Sberbank, Finastra, IHS Markit, Workday, and Huawei. GridGain delivers unprecedented speed and massive scalability to both legacy and greenfield applications. Deployed on a distributed cluster of commodity servers, GridGain software can reside between the application and data layers (RDBMS, NoSQL and Apache ™ Hadoop®), requiring no rip-and-replace of the existing databases, or it can be deployed as an in-memory transactional SQL database. GridGain is the most comprehensive in-memory computing platform for high-volume ACID transactions, real-time analytics, web-scale applications, continuous learning and HTAP. For more information, visit gridgain.com. | $13.5M / Series C / Nov 01, 2021 | |
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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 | |
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Ladder is a digital life insurance company that offers flexible term coverage in minutes saving policyholders up to 40%. It uses an all-digital architecture and real-time underwriting to make life insurance as accessible, affordable, and beloved as it should be. The company was founded in 2015 and is headquartered in Palo Alto, California. Itoffers coverage up to $8M in all 50 states. | $100M / Series D / Oct 04, 2021 | |
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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 | |
| See all 41 investments → | |||
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FAQ
What does Fort Ross Ventures invest in?
Fort Ross Ventures invests primarily in Software, Artificial Intelligence and FinTech startups, most often at Series B and Series C stage. Most of the 41 investments tracked by Shizune back companies in United States. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is Fort Ross Ventures's check size?
Fort Ross Ventures typically joins rounds of $3.3M–$21M at Series A, $8M–$58M at Series B and $7.7M–$75M at Series C. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Fort Ross Ventures participates in.
How do I contact Fort Ross Ventures?
Public channels for Fort Ross Ventures include LinkedIn and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
Who are the partners at Fort Ross Ventures?
The team at Fort Ross Ventures includes Abramov Egor (Principal), Denis Efremov (Principal) and Kasanyuk Yulia (General Counsel), among 9 team members tracked by Shizune. The Team section lists each member with their title, investment count and links.
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 Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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