Deep Tech

Infrastructure & Autonomy Fund

Deep Tech

Infrastructure & Autonomy Fund

Deep Tech

Infrastructure & Autonomy Fund

Invest in the deep-tech bottlenecks that turn AI into durable infrastructure

compute, data movement, automation, resilient space services, and next-wave security/science platforms.

Target size: $100M+

Robotics & Industrial Automation

Market: ~$48B (2025) →~$91B (2030)

Notable Companies: Figure $675M, Dexterity $95M
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Robotics & Industrial Automation

Market: ~$48B (2025) →~$91B (2030)

Notable Companies: Figure $675M, Dexterity $95M
01
02
03
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05

Robotics & Industrial Automation

Market: ~$48B (2025) →~$91B (2030)

Notable Companies: Figure $675M, Dexterity $95M
01
02
03
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05
VC for frontier-enabling tech with pull from hyperscalers, primes and industrials; Growth/PE for scaled revenue, contracts and roll-ups in fragmented enablers.
VC for frontier-enabling tech with pull from hyperscalers, primes and industrials; Growth/PE for scaled revenue, contracts and roll-ups in fragmented enablers.

Cross-Vertical Flywheel

Compute enables autonomy -> autonomy generates data -> space makes sensing/communications resilient -> cyber secures the stack -> quantum upgrades sensing + security.
One buyer universe, one bottleneck roadmap.

Portfolio Compounding

We underwrite technical moats + shared procurement paths (hyperscalers / primes / industrials).
Portfolio companies become customers/partners to each other—reducing time-to-revenue and increasing strategic value.

Value Creation

Customer access (hyperscalers / primes / industrials)
Commercialization platform (Middle East deployment partners, pilots, co-invest capital)
Hard-tech ops (manufacturing, certification, security/compliance, procurement)

Dealflow Engine

Proprietary sourcing via US/UK deep-tech operators + MENA commercialization partners, converting technical winners into revenue faster
1500 screened • 180 diligenced • 12 invested

Cross-industry synergy: why these industries together?

One bottleneck stack

Semiconductors & AI compute are the throughput constraint: every “real-world AI” system (robots, satellites, secure networks) is gated by inference efficiency, latency, and cost.

Robotics & industrial automation are the highest-ROI “physical AI” adopters: once compute/perception is good enough, automation moves from pilots to capex cycles.
Synergy: chips + systems co-evolve; breakthroughs in edge inference, memory bandwidth, and reliability directly unlock robotics deployments (and vice versa: robotics demand shapes silicon + packaging requirements).
01Compute → Autonomy
02Space ↔ Robotics
03Cyber as the glue
04Next-wave Leverage
05Convergence

One bottleneck stack

Semiconductors & AI compute are the throughput constraint: every “real-world AI” system (robots, satellites, secure networks) is gated by inference efficiency, latency, and cost.

Robotics & industrial automation are the highest-ROI “physical AI” adopters: once compute/perception is good enough, automation moves from pilots to capex cycles.
Synergy: chips + systems co-evolve; breakthroughs in edge inference, memory bandwidth, and reliability directly unlock robotics deployments (and vice versa: robotics demand shapes silicon + packaging requirements).
01Compute → Autonomy
02Space ↔ Robotics
03Cyber as the glue
04Next-wave Leverage
05Convergence

One bottleneck stack: Compute → Autonomy

Semiconductors & AI compute are the throughput constraint: every “real-world AI” system (robots, satellites, secure networks) is gated by inference efficiency, latency, and cost.

Robotics & industrial automation are the highest-ROI “physical AI” adopters: once compute/perception is good enough, automation moves from pilots to capex cycles.
Synergy: chips + systems co-evolve; breakthroughs in edge inference, memory bandwidth, and reliability directly unlock robotics deployments (and vice versa: robotics demand shapes silicon + packaging requirements).
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Geo Edge

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US

Largest buyers and exit paths (hyperscalers, defense primes, industrials).

UK

Research density + deep-tech operator network.

Middle East

Commercialization partners, strategic buyers, scale capital and infrastructure build-out.

David Derval

Founding Partner  (Los Angeles, USA)

David Derval is the Co-Founder and Co-CEO of Hyperr, a collaborative and inclusive social networking platform based in West Hollywood, California. He is also Managing Partner at Beverly Capital Group. Previously Co-CEO at PTP App. 

Peter Kolomiets

Founding Partner (London, UK)

Peter is a serial entrepreneur, investor, and ex–Special Forces officer, known for scaling tech ventures and driving two exits. He’s the Founder & CEO of JobCannon, where AI replaces manual recruiting work — from sourcing to scheduling. He also co-founded Make It Real Foundation to support civilians during the war in Ukraine.

Igor Ovcharenko

Managing Partner (Dubai, UAE)

Igor has 13 years of experience in venture capital, startup ecosystems in emerging markets, and angel investing, with 6 angel investments and 30+ VC investments.

25+ years of cumulative experience in venture capital, private equity and trust funds management

co-founders of 4 startups (2 exits)

co-founded 3 VC funds and managed 2 trust funds previously (vintage 2021, 2022, 2024)

access to a unique deal flow through the network of co-investors, ecosystem players, and portfolio companies

Dealflow Engine

Routes to deals

  1. Operators & repeat founders

  1. Network of venture partners and advisors in key locations

  1. Corporate/customer-intros (hyperscalers, industrial OEMs, security platforms)

  1. MENA scale partners (pilots, deployments, strategic co-invest)

  1. Partners’ investments as business angels

  1. Co-investments vehicles and referrals

  1. Investments into early-stage funds as LPs

Dealflow Numbers (12 months)

Companies screened:

1,500

Diligenced:

180

Deep dives / IC memos produced:

30

Invested:

12

Warm intros:

100+

Avg. time from first meeting → term sheet:

8 weeks

Customer calls per deal:

3

Routes to deals

  1. Operators & repeat founders

  1. Network of venture partners and advisors in key locations

  1. Corporate/customer-intros (hyperscalers, industrial OEMs, security platforms)

  1. MENA scale partners (pilots, deployments, strategic co-invest)

  1. Partners’ investments as business angels

  1. Co-investments vehicles and referrals

  1. Investments into early-stage funds as LPs

Data advantage flywheel:
Space ↔ Robotics

Companies screened:

1,500

Diligenced:

180

Deep dives / IC memos produced:

30

Invested:

12

Warm intros:

100+

Avg. time from first meeting → term sheet:

8 weeks

Customer calls per deal:

3

Exit Map

Strategics

Hyperscalers / Defense primes / Industrials / Semis & Networking / Cyber platforms

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Investors

Tech-focused PE / Growth equity / Continuation vehicles

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Fund size

$100+ million: 35% VC sleeve, 65% private equity 

Fund term

10 (+2) years 

Investment Period

VC sleeve 4 years; private equity starts from year 2 

Domiciliation

Master–Feeder: Delaware (U.S.) master with Cayman (ofshore) feeder 

Geography

US, UK, EU, MENA

Stage

Seed → Growth → Mid-market 

Industry Focus

Semiconductors & AI Compute Space Tech & Cybersecurity Quantum Technologies Robotics & Industrial Automation Biotech 

Key Locations

Dubai + Riyadh – commercialization partners, strategic buyers, scale capital and infrastructure build-out London – research density + deep-tech operator network. Los Angeles – largest buyers and exit paths (hyperscalers, defense primes, industrials). 

Investments

35 core; initial checks VC $1.5–2.5M, Growth/PE ~$5M; reserves 40-50% 

Target Equity Stake

VC 7–15%, PE 25–60% control/minority 

Financial Instruments

Preferred equity, SAFEs/notes at Seed; occasional venture debt for working capital on awarded contracts; structured tranched rounds tied to milestones. 

GP Commitment

1% 

Management Fee

2.0% on committed during investment period, step-down to 1.5% on cost thereafter 

Carry

20% standard / 25% above 2 DPI

Targeted IRR

18–22% fund-level

LP Commitment

Institutions $5M+; family offices $3M+; strategic corporates via side letters & co-invest program.