Our Strategies
Four Value Creation Poles
Institutional execution discipline. An operational architecture calibrated for brown-to-green European datacenter transformation.
FINXIA Capital deploys its investment strategies across four complementary pillars, with a rigorous institutional approach. Our flagship strategy, TITAN Datacenter AI, targets the brown-to-green transformation of datacenter infrastructure in Europe, positioned to meet the growing demand from hyperscalers seeking long-term leases and decarbonized infrastructure.
This transformation relies on structured financing via ESG Green Bonds aligned with ICMA Green Bond Principles and the EU Taxonomy (Regulation 2020/852), enabling decarbonization financing without equity dilution. The approach combines acquisition of existing campuses, deployment of breakthrough energy infrastructure (high-efficiency cooling, heat recovery, on-site production), and ESG certification to create significant exit premiums.
In parallel, our Premium Hospitality and Flex Living Residential strategies (coliving, PBSA, build-to-rent) capitalize on the structural dynamics of European urban demand, with exits calibrated for Core investors. The C.Capital division targets late-stage and discounted secondary opportunities, with a deliberately sub-5% conversion rate to maximize conviction on each position.
Structured as a Luxembourg SCSp with proprietary capital and no external fundraising, FINXIA Capital combines institutional discipline, deep sector expertise (institutional real estate, telecoms, AI) and structured financing (Green Bond + debt) to create sustainable value in European real assets.
Portfolio Overview
| Pillar | Role within FINXIA | Profile | Horizon | Universe |
|---|---|---|---|---|
| TITAN DC AI | Core AI infrastructure | Yield + long-term growth | 5–7 years | EU brownfield datacenters |
| Premium Hospitality | Recurring cash-flow & selective rotation | Current yield | 4–6 years | 4–5★ EU urban hotels |
| Residential & Flex Living | Operated platform, block exits | Value-add | 5–8 years | Flexible residential, major metros |
| C.CAPITAL | Opportunistic / convexity | High alpha, <5% conversion | 3–5 years | Late-stage, discounted secondaries, special situations |
Brownfield strategy · 40 MW Campus · EU Taxonomy 8.1
TITAN DC AI — Sovereign European AI Datacenters
AI infrastructure needs a foundation. We transform it.
Strategy led by Lila Benhammou — CIO & architect of TITAN DC AI infrastructure.
Europe holds a massive stock of undervalued industrial assets — manufacturing brownfields, former automotive sites, first-generation warehouses — whose structural characteristics (technical slabs, high-density electrical connection, land footprint) make them directly convertible into next-generation AI datacenters.
The energy challenge is central: RTE, the French transmission system operator, has identified nearly 18 GW of datacenter demand on French territory, of which only ~15% is currently realized. The connection queue blocks 50% of new requests. In 2025, the French government identified 5 "fast track" sites to accelerate strategic projects. TITAN DC AI specifically targets already-connected brownfield sites, bypassing this structural constraint.
Digital sovereignty is imperative: 92% of Western data is stored on US soil. Generative AI, defense, healthcare, and European public administrations need sovereign computing infrastructure. France has a decisive advantage: an electricity mix that is 95% decarbonized and exports 20% of its production — making its territory a destination of choice for hyperscalers seeking carbon reputation. TITAN DC AI transforms this available energy into certified AI infrastructure, capturing the sovereignty and decarbonization premium.
Our Approach
- Target assets: 20-70 MW IT brownfield industrial sites in France, Spain, Italy and Northern Europe
- Cost advantage: significantly cheaper entry per MW than greenfield, reduced commissioning timelines
- Grid advantage: brownfield sites are already connected to the HV grid — bypassing the RTE queue which blocks 50% of new datacenter connection requests in France
- Tenants: European tier-2 cloud operators, AI inference players, public administrations, data sovereignty
- Target model: long-term NNN lease (10-15 years) · tenant commitment sought before or at commissioning · contractualized revenue conditioned on technical compliance
- Energy efficiency: IPMVP protocol, EU Taxonomy 8.1-certified PUE and EED Directive-compliant (PUE ≤ 1.30 by 2027)
- Financing: own equity + senior amortizing debt + ICMA ESG Green Bond conditioned on PUE targets
AI Training Campus
Where we install datacenters, we create local jobs. Each TITAN DC site includes a training campus for young people aged 18-25 (no diploma required), with hands-on training on real equipment: servers, racks, cabling, UPS.
Hiring guarantee via operator partners who lease the sites. Target: 70%+ employment at 6 months. DC projects are located in transitioning territories — jobs must stay in those territories.
Independent Energy Certification
For each asset acquired under TITAN DC AI, FINXIA Capital targets a PUE below or equal to 1.30 — the EED Article 21 reference threshold by 2027. PUE progression will be measured according to IPMVP Option C methodology and documented for independent certification.
Execution Timeline
✓Favorable Regulatory Framework
PINM Law (April 2026)
The economic simplification law adopted on April 14, 2026 creates a Major National Interest Project status for datacenters, reducing administrative delays from 5-7 years to fast track. TITAN DC AI assets are structured to qualify for this status.
EED Article 12 — May 15, 2026 deadline
First mandatory declaration deadline for European datacenters. The TITAN DC AI strategy is structured to anticipate this compliance from the first asset acquisitions — IPMVP methodology and independent certification integrated into the retrofit plan. → Read our complete guide
Explicit brown-to-green advantage
By repositioning existing connected sites, TITAN DC AI bypasses the RTE queue which represented 50% of connection requests in 2025.
→Why now
The Energy Efficiency Directive requires European datacenters to declare their consumption before May 2026 and to achieve a PUE ≤ 1.30 by January 2027. Non-compliant assets suffer immediate value discount. TITAN DC AI acquires precisely these assets during regulatory stress, brings them into compliance, and repositions them as certified premium infrastructure — capturing the yield compression between entry and exit.
FINXIA Capital published in 2026 an academic analysis on SSRN covering PUE optimization and the EED regulatory framework, which directly structures the TITAN investment thesis. View SSRN publication →
Investment horizon
Acquisition
From 2026
Transformation & Stabilization
2027 — 2029
Strategic exits
From 2031
Target holding horizon: 5 to 6 years per asset.
⚡The capacity crisis: a structural advantage for brownfield
RTE, the French transmission system operator, faces structural tension: 18 GW of electrical capacity is currently reserved for datacenter projects on French territory, but only a fraction (~15%) is actually connected and operational. The connection queue blocks 50% of new requests. Greenfield players wait 5 to 7 years for a new connection.
TITAN DC AI bypasses this constraint by targeting brownfield industrial sites <strong>already connected to the HV grid</strong> — former factories, manufacturing brownfields, first-generation warehouses with an existing substation. No RTE queue. No capacity speculation. An existing connection = a 3 to 5 year time advantage.
🛡️French & European digital sovereignty
Generative AI, European defense, healthcare, and public administrations have an imperative need for sovereign computing infrastructure. Yet, 92% of Western data is stored on US soil. The strategic dependence is total.
France has a unique energy advantage in Europe: an electricity mix that is <strong>95% decarbonized</strong> (nuclear + renewables), and a country that <strong>exports 20% of its electricity production</strong>. This makes French territory a destination of choice for hyperscalers seeking carbon reputation and sovereignty.
TITAN DC AI transforms this energy advantage into certified AI infrastructure — capturing the double premium of digital sovereignty and decarbonization. Target tenants (European cloud operators, public administrations, AI actors) pay a premium for this guarantee.
France · Spain · Italy · Northern Europe
Yield & Rotation
Premium Hospitality
The structural resilience of an asset, the intelligence of an operator.
Strategy led by Jean-Pierre Véron — Chairman, 40+ years of institutional real estate.
The urban premium hotel segment generates RevPAR supported by international demand. Finxia combines long-term cash flow producing assets with rotation opportunities after operational repositioning.
Our Approach
- Acquisition of 4-5 star hotels in European metropolises
- Active asset management in partnership with reference operators
- RevPAR optimization through brand repositioning
- Selective rotation after operational stabilization
Paris · Barcelone · Madrid · Milan
Urban Platform
Residential & Flex Living
The city evolves. Housing follows.
Strategy led by Jean-Pierre Véron — Chairman, 40+ years of institutional real estate.
Coliving, serviced residences, build-to-rent — demand structurally exceeds supply in European metropolises. Finxia builds operated portfolios with specialized partners, calibrated for block exits to Core investors.
Our Approach
- Constitution of multi-asset residential portfolios
- Partnerships with specialized operators (coliving, PBSA)
- Yield optimization through active asset management
- Preparation of block exits to Core investors
Major European Metropolises
C.CAPITAL
Capital Opportunités
Where asset visibility creates informational advantage.
Strategy led by Lila Benhammou — CIO, finance × AI expertise.
Late-stage, discounted secondaries, special situations. An ultra-selective approach — reserved for opportunities where our sector expertise confers a decisive advantage. Deliberately low conversion rate. Maximum conviction on each position.
Our Approach
- Participation in late-stage financing rounds
- Acquisition of discounted secondary positions
- Special situations with restructuring thesis
- Disciplined approach with <5% conversion rate
Target Companies
Late-stage AI · Infrastructure · Secondaries
Indicative target universe: late-stage companies in AI, cloud infrastructure, and discounted secondary markets. Every position undergoes thorough analysis before commitment. Conversion rate deliberately maintained below 5%.
Secondary source: pre-IPO liquidity markets via Forge Global.
Late-Stage · Secondaires · Special Situations
