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Deep33

deep33.com · New York, NY

“Backs frontier deep tech companies solving physical infrastructure bottlenecks of the AI supercycle, especially compute, energy, quantum, AI infrastructure, robotics, and autonomous manufacturing across the U.S.-Israel corridor.”

$5M – $15M
Check Size
Leads & Follows
Lead Tendency
$150M
AUM
~1 Month
Timeline
01Investment Thesis

Backs frontier deep tech companies solving physical infrastructure bottlenecks of the AI supercycle, especially compute, energy, quantum, AI infrastructure, robotics, and autonomous manufacturing across the U.S.-Israel corridor.

Exclusion Criteria

Generic AI applications, commoditized SaaS, consumer products, kinetic battlefield-only defense products, and science projects without credible commercialization or infrastructure-scale demand.

02Investment Team
LS
Lior Susan
Chairman
LP
Lior Prosor
General Partner and Co-Founder
MB
Michael Broukhim
General Partner and Co-Founder
YG
Yarden Golan
Government Relations and Grants
JR
Joab Rosenberg
Quantum Vertical Lead
OA
Ori Amsalem
Energy Vertical Lead
YB
Yael Barsheshet
AI Infrastructure Vertical Lead
EG
Elram Goren
Robotics Advisor
03F4 Research Brief

Deep33 Research

Investment Thesis

Deep33 is a specialist early-stage deep tech venture firm built around the physical infrastructure requirements of the AI supercycle. Its website describes the firm as backing frontier DeepTech founders solving hard problems in compute, energy, and automation, with the core premise that AI adoption is constrained by three physical walls: compute, energy, and manpower. The site says Deep33 exists to find, fund, build, and scale breakthroughs from the U.S. and Israel that can move from scientific depth to category-defining infrastructure companies.

The firm's public thesis is concentrated in four verticals: quantum, advanced energy, AI infrastructure, and robotics/autonomous manufacturing. On the homepage, quantum includes scalable architectures and post-quantum security; advanced energy includes data center energy efficiency, directed energy, and grid optimization; AI infrastructure includes specialized chips, data centers, and orchestration layers for production-grade AI systems; and robotics/autonomous manufacturing includes specialized robots and intelligence layers that extend AI into the physical world. Ynet and Quantum Computing Report both describe the same thesis as addressing bottlenecks in energy, computing capacity, and industrial autonomy that constrain the AI investment cycle.

Stage Focus

Deep33 should be modeled as an early-stage fund with strongest fit from Seed through Series B. The Information reported that the firm focuses on Seed, Series A, and Series B investments. The underlying company profile is not traditional SaaS inception risk; the firm appears to prefer companies that already have credible technical proof and are moving from post-research development toward commercial, industrial, or governmental adoption. For F4 matching, the best fit is a technical company with deep scientific or engineering defensibility, a plausible commercialization path, and a market tied to compute, energy, quantum, industrial autonomy, or critical infrastructure.

Check Size

The Information reported that Deep33 writes checks between $5 million and $15 million and expects to make roughly five to eight new investments per year. The fund launched with a $100 million first close toward a $150 million target, according to Ynet and Quantum Computing Report. That check-size profile makes Deep33 more relevant to priced seed and Series A/B rounds than to very small pre-seed rounds, although a frontier company with exceptional technical depth and strategic U.S.-Israel relevance may still merit outreach before a formal round.

Lead Tendency

Public sources do not prove that Deep33 always leads rounds. The available evidence supports a classification of lead-capable and syndicate-friendly. The fund size, $5 million to $15 million check range, expert-first model, and focused annual deployment plan suggest the firm can meaningfully shape rounds. At the same time, named deals such as Q-Factor and DualBird show Deep33 participating alongside larger syndicates led by NFX/TPY and Lightspeed respectively. F4 should treat the firm as capable of leading or co-leading when the company maps tightly to its thesis, but not assume lead-only behavior.

Recent Activity

Deep33 emerged from stealth on January 20, 2026, with a $100 million first close toward a $150 million inaugural fund. Launch coverage named QuamCore, CyberRidge, and Particle Labs as initial portfolio companies, with two additional stealth companies in oil-free fuels/chemicals and AI infrastructure optimization. The Information also identified DualBird as part of the early portfolio. In April 2026, Q-Factor announced a $24 million seed round led by NFX and TPY Capital with participation from Intel Capital, Korea Investment Partners, Deep33, and the Matias family. This is a strong post-launch activity signal and reinforces Deep33's focus on Israeli quantum computing infrastructure.

Portfolio Highlights

QuamCore is a superconducting quantum computing company. Its website says it is developing an architecture-first approach for fault-tolerant scalable systems capable of managing millions of qubits, with superconducting digital logic, error-correction-aware design, reduced cabling, and ultra-low power dissipation. CyberRidge is a post-quantum optical security company whose product pages describe a photonic layer approach that turns data in transit into optical noise to block harvest-now-decrypt-later attacks. Particle Labs is described in launch coverage as building compact, desktop-sized high-energy particle accelerator technology. DualBird is a data infrastructure company using FPGAs to accelerate data processing; SiliconANGLE reported that DualBird raised $25 million for a custom-chip-powered data processing platform. Q-Factor is a neutral atom quantum computing company pursuing a path toward million-qubit systems; its April 2026 seed round included Deep33.

Team

The firm is led by General Partners Lior Prosor and Michael Broukhim. Ynet reported that Prosor has invested in companies including Via Transportation, Digital Ocean, Lemonade Insurance, UVeye, and Carbyne, while Broukhim's investment portfolio includes SpaceX, Stripe, Hut8, and Groq. Lior Susan, founder of Eclipse Ventures, is chairman. The expert model includes Joab Rosenberg leading quantum, Yael Barsheshet leading AI infrastructure, Ori Amsalem leading energy, Yarden Golan handling government relations and grants, and Elram Goren advising on autonomous robotics. Ynet describes Rosenberg as a former Talpiot commander and quantum physicist, Barsheshet as an IDF Intelligence technical leader with AI infrastructure and cybersecurity investing experience, and Goren as co-founder and former CEO of Fabric.

Decision Process

The likely process is partnership-led with substantial technical diligence from vertical experts. Founders should expect review of scientific validity, engineering defensibility, commercial adoption timing, customer concentration, government or national infrastructure relevance, and the ability to unlock non-dilutive funding. Deep33's homepage describes Double D33P, a program intended to unlock multiple dollars of non-dilutive capital for every dollar invested, and Deep-to-Market, a go-to-government and prime-client access engine for defense, national infrastructure, and hyperscale industries. These programs indicate a hands-on investor that can help with grants, government access, and strategic customers, rather than a passive capital provider.

Founder Preferences

Deep33 is best for deeply technical founders with credible links to the U.S.-Israel technology corridor and products that can become foundational infrastructure. Ideal founders can translate hard science into commercial systems, sell to hyperscalers or industrial customers, and navigate government-adjacent procurement when relevant. The firm is not a strong fit for generic AI applications, commoditized SaaS, consumer products, or pure research projects without a clear commercialization path. It also appears less interested in kinetic defense-only companies than in dual-use infrastructure technologies with large commercial markets.

Geographic Focus

Deep33 is centered on the U.S.-Israel allied infrastructure corridor. Quantum Computing Report describes the firm as headquartered in New York with offices in Tel Aviv and Los Angeles, and Ynet says it has offices in Tel Aviv, New York, and Los Angeles. Matching should prioritize U.S. and Israeli companies, especially those that combine Israeli technical talent, U.S. industrial demand, and the potential to attract tier-one U.S. follow-on capital.

Sources

  • https://deep33.com
  • https://www.ynetnews.com/tech-and-digital/article/hjr30gphwe
  • https://quantumcomputingreport.com/deep33-ventures-launches-150-million-fund-for-u-s-israel-deep-tech-corridor/
  • https://www.calcalistech.com/ctechnews/article/ry6p1g6bwx
  • https://www.theinformation.com/newsletters/dealmaker/fabfitfund-co-founder-launches-150-million-deep-tech-fund/
  • https://thequantuminsider.com/2026/04/06/q-factor-emerges-from-stealth-with-24-million-and-backing-from-intel-capital/
  • https://siliconangle.com/2025/11/05/dualbird-raises-25m-fpga-powered-data-processing-platform/
  • https://www.quamcore.com/
  • https://www.cyber-ridge.com/product
04Selected Portfolio
Climate & Sustainability
Undisclosed oil-free chemical production company
Developer Tools & Infrastructure
Undisclosed GPU utilization infrastructure company
Enterprise Software
Particle Labs·Undisclosed AI infrastructure optimization company·QuamCore·DualBird
Manufacturing & Industrial
Undisclosed oil-free chemicals company
Robotics & Automation
Q-Factor
Security & Cybersecurity
CyberRidge
Open the full portfolio→
05Recent Updates

Fresh signals from public announcements, essays, and portfolio activity.

See full activity (25) →
Deep33 closed its debut deep-tech fund at $200M, roughly a third above its $150M target, to back AI infrastructure, advanced energy, quantum computing, communication components, and robotics. The fund is US-headquartered with ~70% of capital earmarked for Israeli-founded companies and ~30% for US startups. LPs include overseas investors and Israeli institutional investors.
NEW FUND·fundmomentum.vc
JUN 25, 2026
Ori Amsalem published a deep technical essay arguing that NVIDIA's next-gen megawatt racks force the industry to migrate from 48V to 800V DC power delivery, and that solid-state transformers using SiC and GaN semiconductors will be key enablers of AI data center infrastructure.
ESSAY·deep33.substack.com
JUN 23, 2026
Participated in Q-Factor's $24M seed round for neutral-atom quantum computing.
INVESTMENT·thequantuminsider.com
APR 6, 2026
Prosor discussed Deep33 check sizes, co-lead behavior, founder criteria, and the U.S.-Israel physical infrastructure thesis.
PRESS·infinitefrontiers.io
FEB 17, 2026
Deep33 Quantum Partner Joab Rosenberg appeared on QuEra's podcast to discuss the fund's investment thesis across quantum computing, AI infrastructure, and energy, and why he expects near-term commercial quantum applications by 2027.
PODCAST·quantumcomputingreport.com
FEB 16, 2026
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Quick Reference
Check Size
$5M – $15M
Stages
Seed · Series A · Series B
AUM
$150M
Decision
Partnership · ~1 Month
Warm Intro
Not Required
Involvement
Advisor
Location
New York, NY
Sector Focus
Manufacturing & IndustrialAerospace & DefenseSemiconductors & HardwareRobotics & AutomationClimate & SustainabilityDeveloper Tools & InfrastructureSecurity & Cybersecurity
Models
Deep TechHard TechDual-UseInfrastructureGovernment And Industrial InfrastructureAI InfrastructureAdvanced Manufacturing
Technology
Quantum ComputingAI InfrastructureAdvanced EnergyRoboticsPost-Quantum SecurityAutonomous ManufacturingFPGA AccelerationGPU UtilizationParticle Accelerators
See all Manufacturing & Industrial investors →See all Aerospace & Defense investors →See all Semiconductors & Hardware investors →
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Focus Areas
Manufacturing & IndustrialAerospace & DefenseSemiconductors & HardwareRobotics & AutomationClimate & SustainabilityDeveloper Tools & InfrastructureSecurity & Cybersecurity

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F4 Intelligence Report · Last Researched August 21, 2026F4 Research Engine