Investment Tagline: Securing the quantum future through AI-powered cryptography and simulation

Industry Enterprise Software / AI / Quantum Computing
Total Raised $950M
Headquarters Palo Alto, CA, USA
Last Primary Valuation $5.75bn (Apr 2025)
Founded 2022 (spun out) / 2016 (within Alphabet)
Origin Alphabet spinout

About SandboxAQ

SandboxAQ is a pioneering platform at the intersection of AI and quantum technology, focused on solving complex computational and security challenges. Spun out of Alphabet's moonshot division in 2022, the company develops advanced solutions addressing critical needs in cybersecurity, molecular simulation, and materials science.

Key Milestones:

  • 2016: Founded within Alphabet Inc. as internal project
  • 2022: Spun out of Alphabet as independent company, founded by CEO Jack Hidary
  • 2023: Raised $500M Series A from Eric Schmidt, Breyer Capital, and others
  • Sep 2022: Acquired Cryptosense (Paris-based post-quantum cryptography platform)
  • 2023-2024: Secured contracts with U.S. federal agencies and Fortune 500 companies
  • Jan 2024: Acquired Good Chemistry for $75M (quantum simulation for drug discovery)
  • 2024: Launched advanced post-quantum cryptography tools
  • Dec 2024: Raised $300M+ at $5.3B pre-money valuation (Fred Alger, T. Rowe Price, Breyer Capital)
  • Apr 2025: Raised $450M+ Series E at $5.75B valuation (Ray Dalio, Horizon Kinetics, Google, NVIDIA)
  • Total raised: $950M across 5+ rounds
  • Team of ~300 employees
  • Major clients: Vodafone, U.S. government, Aramco, Mayo Clinic

Market Opportunity

Quantum Technology Market:

  • 2024 Total TAM: $31B
  • 2030 Total TAM: $65B
  • 2x growth over 5 years

Market Segments & Growth:

  • Quantum AI: 35% CAGR (fastest growing)
  • Quantum Computing: 18% CAGR
  • Quantum Sensing: 20% CAGR
  • Quantum Cryptography: 35% CAGR
  • Simulation Software: 13% CAGR

Strategic Position:

  • SandboxAQ's $5.8B valuation represents <10% of 2030 projected TAM
  • Diversified exposure across multiple high-growth quantum segments
  • Early mover advantage in quantum-AI convergence

Key Investment Features

Comprehensive Quantum-AI Ecosystem: Full-stack suite combining post-quantum cryptography (PQC) to secure data against emerging threats, AI-driven drug discovery to accelerate R&D cycles, and quantum-enhanced simulations for breakthroughs in materials and energy. End-to-end approach delivers tools for both current and post-quantum computing environments.

Revolutionary Technology Stack - Quantum Security Suite: Next-gen cybersecurity offering post-quantum cryptography, encryption key management, and secure communications to safeguard sensitive data for enterprises and governments preparing for quantum-era threats.

AI Simulation Engine: Advanced computational tools leveraging quantum-inspired algorithms to accelerate drug discovery, molecular modeling, and new materials development. Proprietary Large Quantitative Models (LQMs) simulate and optimize based on fundamental laws of physics, chemistry, and biology.

Strategic Acquisitions Accelerating Growth: Cryptosense (2022) expanded quantum-resilient cybersecurity and encryption management capabilities. Good Chemistry (2024, $75M) added cutting-edge simulation technologies, computational chemistry team, and enterprise customers including QEMIST Cloud and Tangelo software platforms.

Blue-Chip Client Base & Partnerships: Serves governments, Fortune 500 companies, and healthcare organizations with mission-critical solutions. Strategic collaborations with Google Cloud, NVIDIA for distribution. Major deployments with U.S. military, Vodafone, Aramco, Mayo Clinic driving recurring revenue in high-barrier sectors.

Business Model

Revenue Streams:

B2B Software-as-a-Service Model:

  • Proprietary Large Quantitative Models (LQMs) licensing
  • AI systems for simulation, prediction, and optimization
  • Post-quantum cryptography platform subscriptions
  • Drug discovery and materials science software

Core Products:

  • Quantum Security Suite: Encryption, key management, secure communications
  • AI Simulation Engine: Molecular modeling, materials design, drug discovery
  • Proprietary datasets: Synthetic molecular data for drug design
  • Cloud platform integrations: Rapid scaling via Google Cloud, NVIDIA partnerships

Customer Segments:

  • Critical infrastructure providers
  • Biopharma and chemical companies
  • Financial institutions
  • Defense agencies and government
  • Healthcare systems and hospitals

Financial Performance

Revenue Growth:

  • 2023 ARR: $10.6M
  • 2024 ARR: $17.8M (68% YoY growth)
  • 2025E ARR: $90M (406% projected growth)
  • 2026E ARR: $250M (178% projected growth)
  • 3-year CAGR (2024-2026E): 187%

Funding History:

  • 2016-2022: Incubated within Alphabet
  • 2022: Spinout funding
  • 2023: $500M Series A
  • Dec 2024: $300M+ at $5.3B pre-money valuation
  • Apr 2025: $450M+ Series E at $5.75B valuation
  • Total raised: $950M across 5+ rounds

Valuation Progression:

  • 2022: Initial spinout
  • 2023: Post Series A
  • Dec 2024: $5.3B (pre-money) - $300M+ round
  • Apr 2025: $5.75B - $450M+ Series E
  • Growth: Rapid scaling to nearly $6B valuation within 3 years of spinout

Valuation Analysis

Current Position:

  • Valuation: $5.75B (Apr 2025)
  • Implied EV/ARR: ~64x (based on 2025E $90M ARR)
  • Market positioning: <10% of 2030 TAM ($65B)

Valuation Progression:

  • 2016-2022: Incubated within Alphabet
  • 2023: Post Series A valuation
  • Dec 2024: $5.3B pre-money (+$300M round)
  • Apr 2025: $5.75B (+$450M Series E) - 8% increase in 4 months
  • Total growth: ~$6B valuation within 3 years of spinout from Alphabet

Recent Funding Momentum:

  • $750M+ raised in 4 months (Dec 2024 - Apr 2025)
  • Demonstrates strong investor confidence in quantum-AI convergence
  • Blue-chip backers: Fred Alger, T. Rowe Price, Ray Dalio, Horizon Kinetics, Google, NVIDIA
  • Sustained high valuation despite broader tech market volatility

Competitive Landscape Comparison:

Company Valuation Focus Position
SandboxAQ $5.75B Multi-domain quantum-AI Leader - Top Right
IonQ $20.7B Quantum computing High commercial traction
Quantinuum $10B Quantum computing Strong depth
Rigetti $10B Quantum computing Limited traction
D-Wave $9B Quantum annealing Niche application
PsiQuantum $70M Quantum computing Early stage

Investment Thesis:

  • Undervalued relative to peers with limited commercial traction
  • SandboxAQ combines strongest commercial traction with deep quantum capabilities
  • As Alphabet spinout with $950M raised, provides multi-domain advantage
  • Serves major clients (Vodafone, U.S. govt) with recurring revenue in high-barrier sectors
  • Substantial upside potential as quantum technologies approach commercial viability

Strategic Advantages

Technology Leadership:

  • AI and quantum-inspired algorithms creating unique capabilities
  • Purpose-built for mission-critical problems at scale
  • Deep domain-specific models validated against real-world data
  • Proprietary datasets and IP (synthetic molecular data)
  • Focus on precision and scientific reliability vs. generalized AI

Alphabet Pedigree:

  • Spun out from Alphabet's moonshot division with proven technology
  • CEO Jack Hidary brings deep quantum computing expertise
  • Access to Alphabet's research and development legacy
  • Strategic partnerships with Google Cloud for distribution

Distribution Advantages:

  • Cloud platforms enable rapid scaling (Google Cloud, NVIDIA partnerships)
  • Direct enterprise sales to Fortune 500 and government
  • Validated use cases in multiple verticals
  • Long-term contracts in sectors with high switching costs

Competitive Differentiation:

  • Only player combining quantum security + AI simulation + sensing
  • End-to-end platform vs. point solutions
  • Commercial deployments vs. research-stage competitors
  • Government and enterprise validation

Select Investors

Strategic & Financial Backers:

December 2024 Round ($300M+):

  • Fred Alger Management - Growth equity investor
  • T. Rowe Price - Major institutional investor
  • Breyer Capital - Prominent venture capital firm

April 2025 Series E ($450M+):

  • Ray Dalio (Bridgewater Associates founder) - Legendary investor
  • Horizon Kinetics - Value-oriented asset manager
  • Google - Strategic technology partner and original parent
  • NVIDIA - AI infrastructure partner

Earlier Investors:

  • Eric Schmidt (Former Google CEO) - Lead early investor
  • Guggenheim Partners - Alternative asset management
  • Beyond Alpha Ventures - Quantum-focused VC
  • Marc Benioff (Salesforce CEO) - Individual investor

Strategic Value: World-class investor base spanning legendary hedge fund managers (Ray Dalio), major institutions (T. Rowe Price), tech giants (Google, NVIDIA), and former Google leadership (Eric Schmidt). Provides technology partnerships, enterprise distribution, institutional credibility, and deep pockets for quantum-era infrastructure buildout.

Management Team

Jack Hidary, CEO & Founder

Jack Hidary leads SandboxAQ as CEO, bringing extensive experience in quantum computing and AI. Prior to founding SandboxAQ, Hidary led the initiative within Alphabet's moonshot division that became the foundation for the company. He has assembled a team of ~300 leading scientists and engineers focused on solving complex computational challenges. Hidary's vision centers on preparing enterprises and governments for the quantum era while delivering immediate value through AI-driven simulation and post-quantum cryptography. His leadership has secured major government contracts, Fortune 500 partnerships, and established SandboxAQ as a leader in next-generation computational capabilities.

Market Positioning

SandboxAQ as Leader (Top-Right Quadrant):

  • High commercial traction: Vodafone, U.S. government, Fortune 500 customers
  • Deep quantum capabilities: Multi-domain platform spanning security, simulation, sensing
  • $950M raised: Substantial capital for scale and R&D
  • Strategic partnerships: Google Cloud, NVIDIA for enterprise distribution

Key Differentiators:

  • Unlike pure quantum computing companies, benefits from diversified exposure
  • Combines quantum AI, sensing, cryptography, and simulation in one platform
  • Practical applications today (PQC, drug discovery) vs. future-focused competitors
  • Revenue-generating while competitors remain research-stage

Market Risks

Technology & Competition:

  • Quantum timeline uncertainty: Commercial quantum computing timeline longer than expected
  • Competitive intensity: Well-funded competitors with higher valuations (IonQ $20.7B, Quantinuum $10B, Rigetti $10B)
  • Technology evolution: Rapid changes in quantum computing approaches
  • Market hype: Some quantum companies trade at high valuations despite limited commercial traction

Execution Challenges:

  • Capital intensity: Building quantum technologies requires sustained investment - evidenced by $750M+ raised in 4 months
  • Talent competition: Limited pool of quantum computing experts
  • Enterprise adoption: Quantum solutions require customer education and long sales cycles
  • Technology integration: Complex integration with existing enterprise systems

Market Dynamics:

  • Regulatory environment for quantum technologies still evolving
  • Cybersecurity standards for post-quantum cryptography in development
  • Market still early stage with uncertain adoption curves
  • Government policy on quantum technology could impact market development
  • B2B/enterprise focus means longer monetization timelines vs. consumer applications
  • Being private limits valuation transparency compared to public market comparables

Strategic Considerations:

  • Rapid valuation scaling (nearly $6B in 3 years) reflects high investor expectations
  • Sustained large funding rounds ($750M+ in Q1 2025) indicate both opportunity and capital requirements
  • AI + quantum/physics niche less crowded than LLMs but carries higher technical risk
  • Time horizons for quantum technology returns may be longer than typical software plays

Disclaimer: This article is based on publicly available information. Past performance does not indicate future results. All investments carry risk. Valuations based on private funding rounds should be considered indicative.

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