For infrastructure owners & operators · towers · data centres · fibre · EV

The operating layer for
digital infrastructure.

Built for the platforms that own and operate digital infrastructure at scale — global infrastructure asset managers and the operating companies beneath them. Operations first: the network operations centre, the field force, the asset base — then the portfolio view on top.

$54–67M
Capex avoided in a 1,500-site programme — comparable-operator case
$23.8M/yr
Operating savings at a 500-technician operator
−35%
Truck rolls — vision and agents in the loop
$15B+
Deployed via Fieldforce, the founders' prior platform
01 · The operator's realityThe most capital-intensive decade

The capex is committed. The visibility is not.

A tier-2 tower company running a 1,500-site rollout commits three hundred million dollars of capex against eight to twelve operating systems — one for assets, one for delivery, a project plan in someone's email, a spreadsheet for the redeploy pool, a dispatch tool, and four more for parts, vendors, permits, and finance. None of them agree. The asset record drifts from reality within thirty days of go-live.

The stack

8–12 systems.

Per programme — none of which speak to each other. A spreadsheet at every handoff.

The drift

30 days.

How long the as-built record stays true after go-live, without a system that updates itself.

The waste

The redeploy pool.

Two-thirds of retired-asset inventory never surfaces in procurement until after the purchase order is cut.

The queue

The 06:00 backlog.

Dispatchers spend the morning cross-referencing certifications, geography, and SLAs by hand — while tickets breach.

02 · OperationsThe NOC and the field · one queue

Tuesday morning, rewritten.

From the network operations centre to the truck roll: every open work order weighed against every available technician, continuously — exceptions routed to humans with the context attached.

06:00 · Before

Thirty-four open work orders from overnight. Two hours of cross-referencing certifications against availability against geography against SLA. By the time the queue clears, two priority tickets have breached. The dispatcher hasn't touched next week's capacity.

06:00 · With the platform

Three items in the exception queue. Thirty-one of thirty-four resolved overnight against the crew, the certification matrix, the route topology, and parts-on-truck. A fibre fault auto-dispatched at 06:15 to the closest qualified technician with the right splice kit on the van. By 08:15 the dispatcher is planning next week.

Conventional dispatch assigns one job at a time. Ours re-solves the entire board — every order against every technician — every thirty seconds.

$23.8M/yr
Operating savings at a 500-technician operator
68→85%
First-time fix, measured against the as-built
$8–12M
Truck-roll reduction — 25–35% fewer rolls
<9 months
Break-even for any operator above 300 technicians
03 · The asset lifecycleDemand → Design → Procure → Deploy → Operate → Optimise → Retire

A living graph of every asset — from build to retire.

Every tower, radio, splice, cabinet, charger, and fibre run as a node with its history, its relationships, and its current confidence. Not a system of record updated by humans — a system of truth that updates itself from operational signals.

Capture

Vision-verified install.

Field photo to structured data on the spot. The crew leaves; the as-built is already a node. First-time-fix measured against what was actually built, not what was designed.

Procure

Redeploy-first procurement.

The retired-asset pool is checked before any purchase order is cut. What-if procurement scenarios run on the graph, not in a spreadsheet.

Operate

Confidence-gated dispatch.

Above threshold, the platform executes. Below, it routes to the right human with context pre-assembled. The dispatcher reviews exceptions, not work orders.

$54–67M
Capex out of a 1,500-site programme — 20–25% of total
4–6 months
Schedule compression on an 18–24 month programme
−35%
Truck rolls, with vision and agents in the loop
<12 months
Payback on programmes above 1,000 sites

Comparable operator, comparable programme shape. Numbers on file.

04 · Where capital meets operationsOne graph · two viewpoints

The portfolio sees through operations.

For the asset managers behind the operating companies, the same platform rolls operations up to the portfolio: diligence on the way in, operating telemetry through life, board-ready reporting on the way out — one ontology from the investment committee to the work order.

Entering

Asset-class diligence.

Technical diligence agents per asset class — tenancy and lease yield for towers, power and connectivity for data centres, route economics for fibre — with cross-deal comparables from history.

Operating

OpCo federation.

Operating-company data integrated — isolated by default, federated deliberately. Cross-portfolio KPIs and risk signals without flattening governance.

Reporting

Board packs that draft themselves.

Valuation updates, KPI narratives, and LP reporting drafted from systems of record — grounded, cited, and current.

05 · The pedigreeOperators · not advisors

We ran the systems we replace.

Through Fieldforce — the founders' prior platform — this team delivered $15B+ of digital infrastructure across MENA, Europe, the Americas, and Asia: tower portfolios, fibre rollouts, and field workforces at national scale. We know which seams cost what, because we paid for them.

$15B+
Digital infrastructure delivered via Fieldforce
4
Regions — multi-operator, multi-year deployments
30 days
Between every working release, from day 14

We come with two questions, a comparable-operator business case, and a draft first-phase scope. Sixty minutes with your COO and VP of Network Operations decides whether this is a fit.