Innovation at Every Level

Structural innovation at every stage of the asset lifecycle.

Innovation is not a feature here — it is the architecture of how we deliver. Across advisory, construction, operations, and capital, Datanix embeds proprietary tooling and frameworks into every engagement.

01Advisory

AI-powered intelligence at every decision point.

Digital Twin Feasibility

Site, power, and capital modelled simultaneously. Feasibility timelines compressed 40%.

AI-Readiness Scoring

Proprietary framework scores every site on power density, cooling, networking, security, and ESG pathway before commitment.

Capital Stack AI

Machine learning identifies the lowest blended cost across debt, equity, mezzanine, and co-investment in real time.

Real-Time Market Intel

Proprietary deal flow, power-availability maps, and regulatory tracking across all four markets, surfaced proactively.

02Construction

Next-gen DC design — 100kW+ per rack from day one.

Modular Scalability

Phase from 10MW to 200MW without retrofit. Capital and optionality preserved at every expansion stage.

AI-Optimised Liquid Cooling

Direct-to-chip and rear-door heat exchangers engineered for 100kW+ racks. GPU clusters cannot be retrofitted into yesterday's cooling.

ESG at Design Stage

LEED, BREEAM, and ISO 50001 embedded at architecture. Adds 0.5–1.5× EV/EBITDA multiple at exit.

Commissioning AI

Automated ATPG with real-time snagging. Commissioning compressed by 4–6 weeks.

03Operations

AI-driven ops — best-in-class PUE and NOI.

Predictive DCIM

AI predicts power failures, cooling inefficiencies, and capacity constraints before incidents occur. Downtime cut 60–70%.

Dynamic PUE AI

Real-time airflow, cooling, and power optimisation delivers PUE <1.4 against 1.58 industry average — $12–18M/yr in energy savings per 100MW.

GPU Workload Management

RDMA network optimisation and GPU cluster monitoring maximise tenant utilisation and SLA compliance.

ESG Live Dashboard

Investor-grade real-time carbon, water, and energy reporting. Zero-lag LP ESG disclosure. No manual compilation.

04Capital & M&A

Tokenized capital and ESG-certified exits.

Tokenized LP Structure

XRP Ledger via Zoniqx unlocks secondary market liquidity for DC fund positions. 30–40% wider institutional LP access.

ESG Exit Packaging

Green/Secure/AI-Ready certification embedded from day one. Adds 0.5–1.5× EV/EBITDA at exit versus uncertified comparable.

Cross-Border SPV

US PE economics plus international sovereign compliance plus ESG reporting in a single institutional vehicle.

Off-Market Engine

Proprietary four-continent relationship network generates non-marketed deal flow. Eliminates the 15–25% bid premium on marketed assets.

The Operator Edge

Our team has managed 15GW+ of DC infrastructure. That experience defines every mandate.

We don't reference best-in-class standards. We set them — from inside Equinix's global portfolio, Switch's AI campus, Yotta's 7,000-rack site, Cisco's hyperscale DC fabric, and HPE's supercomputer infrastructure.

Advisory

Applied as DC investors and capital allocators

$1B+ committed through Aurum Equity Partners. A decade at Cisco evaluating data center technology at hyperscale. VC investor in 25+ infrastructure and tech companies. Every Datanix advisory mandate is structured by people who have personally written the cheques.

Outcome

–200 to –400 bps cost-of-capital savings · $15–40M EV advantage on site selection.

Construction

Applied from DC design and campus delivery

Yotta NM1 — 7,000+ racks, one of Asia's largest DC campuses. Cisco hyperscale DC fabric. HPE Cray/ProLiant AI infrastructure at national scale. Datanix construction specifications are written by the engineers who built the campuses.

Outcome

10–15% capex savings · +0.5–1.5× EV/EBITDA from design-stage ESG certification.

Operations

Applied from running global DC portfolios

Equinix — 270+ facilities globally. Switch — GW-scale AI-driven campus. Hiranandani/Yotta — institutional DC campus delivery. When Datanix specifies PUE <1.4, predictive DCIM, and AI workload management, these are standards we personally enforced.

Outcome

PUE <1.4 · $12–18M/yr energy savings per 100MW · 99.999% uptime framework.

M&A

Applied from institutional deal-making and fund management

Co-Founder and GP of VU Venture Partners (150+ companies including SpaceX, OpenAI, Meta, Uber). Founder and GP of Aurum Equity Partners ($1B+ DC fund). Group Director and CEO Infrastructure at Hiranandani. M&A executed by the GPs themselves.

Outcome

15–25% acquisition discount · 3–5× EV/EBITDA exit premium · Tokenized LP liquidity.

The Value Creation Math

$150–350M+ of additional enterprise value on a $100–200M AI data center asset.

Versus the alternative — fragmented single-service advisors, contractors, and operators. Data centers trade at 20–30× EV/EBITDA. AI-certified assets trade at 25–35×. ESG adds another 0.5–1.5×. Every $1M of EBITDA improvement is worth $20–35M at exit.

Advisory Entry

$70–165M

Site selection ($15–40M) · Cost-of-capital ($20–40M) · AI-readiness ($30–60M) · Speed ($6–24M).

Construction Precision

$45–120M

Capex efficiency ($10–25M) · ESG certification ($25–75M) · Commissioning speed ($4–8M) · Cooling TCO ($5–12M).

Operations Excellence

$57–113M / yr

PUE optimisation ($12–18M/yr) · AI tenant premium ($40–80M) · Uptime SLA ($5–15M) · ESG LP eligibility (structural).

M&A Exit Mastery

$79–233M

Off-market acquisition ($15–75M) · Exit multiple ($60–150M) · Deal speed ($4–8M) · Tokenized LP (structural).

See how the math applies to your asset.

Bring us your project — site, capital structure, or portfolio — and we'll model the value-creation envelope.

Schedule an Introduction →