What technology stack do industrial and logistics funds run on?
Industrial and logistics funds typically run a stack of five layers: fund administration and investor relations (Juniper Square), system of record and accounting (Yardi or MRI), valuation and cash-flow modelling (ARGUS), leasing pipeline management (VTS), and increasingly a dedicated tenant-intelligence layer. Each of the established platforms does its job well, but all of them are backward-looking or static on the one question that decides industrial income: which tenants are about to leave. Scayled is the tenant-intelligence layer, supplying fortnightly tenant-movement intelligence and verified replacement demand that feeds the rest of the stack rather than replacing any of it.
- Mapping the stack: five layers, five jobs
- Where each layer's data goes stale
- Why a dedicated intelligence layer becomes necessary at scale
- Scayled's place: the forward-looking layer that feeds the rest
Mapping the stack: five layers, five jobs
A modern logistics fund's technology divides cleanly by function. At the top sits fund administration and investor relations, where Juniper Square and similar platforms handle GP and LP reporting, capital calls, distributions and the investor portal. This layer is about the fund vehicle and its capital partners, not about individual assets or tenants.
Beneath it is the system of record and accounting layer, the domain of Yardi Voyager and MRI. This is where the rent roll lives: lease data, billing, cash receipts, arrears, property management and the general ledger. It is the operational backbone, and it does that job authoritatively. Alongside or above it, MRI Investment Central and similar tools consolidate multi-asset portfolio reporting.
Then come the specialists. ARGUS Enterprise handles valuation and discounted-cash-flow forecasting, modelling lease cash flows and reversions across the hold period. VTS manages the leasing pipeline, tracking tours, deals in motion and asset analytics drawn from broker activity. Lease administration tools such as Re-Leased track scheduled lease events and recoveries. Each owns a clear lane, and each is good in it.
Where each layer's data goes stale
The stack is strong on what has happened and what is contracted, and weak on what is coming. The system of record is historical by design: Yardi and MRI tell you a tenant has paid, or has fallen into arrears, but arrears is a lagging indicator, the financial echo of a problem that started in the tenant's business months earlier. By the time it shows in the ledger, the warning window has closed.
Valuation is periodic and assumption-driven. ARGUS models the lease cash flows you already have and applies renewal and reversion assumptions across the rent roll, but it does not observe whether a specific tenant is actually about to exercise its break or walk at expiry. A uniform renewal probability is a reasonable modelling convention and a poor early-warning system. The model is only as forward-looking as the assumptions you feed it.
Leasing platforms see deals, not departures. VTS is excellent once a unit is being marketed and brokers are touring tenants through it, but it picks up the story after the decision to vacate has been made and the void is already on the horizon. Lease administration tools see the scheduled events, expiries and break dates you already have in the diary, and are blind to the unscheduled departure: the solvent tenant who consolidates out a year early because its parent was acquired. Every layer shares the same gap.
Why a dedicated intelligence layer becomes necessary at scale
For a handful of assets, an experienced asset manager can hold tenant intelligence in their head and through relationships: they read the trade press, they hear that a 3PL lost a contract, they know which manufacturers are growing. That informal monitoring is real and valuable, and it does not scale. A fund holding a few hundred tenancies across multiple regions cannot manually watch every occupier's contracts, accounts, hiring and corporate activity, and the largest, most concentrated exposures are precisely the ones too costly to surprise.
This is why tenant intelligence is emerging as its own layer rather than a feature bolted onto an existing platform. The job is structurally different from anything in the legacy stack: it requires continuously monitoring the businesses of tenants and surrounding occupiers, which is external-world signal data, not the internal lease and accounting data the other systems are built around. Asking a system of record to do this is asking it to look outward when its entire design points inward.
The case strengthens as build-to-core strategies and aggressive logistics allocations push funds to hold more, larger, more specialised boxes, where a single void is expensive and a mistimed one can derail an asset business plan. At that scale, watching every tenant stops being optional and starts being infrastructure.
Scayled's place: the forward-looking layer that feeds the rest
Scayled occupies the tenant-intelligence layer, and only that layer. It monitors every tenant in the portfolio, and every business in the surrounding submarket, for the operational signals that precede a move, scores each tenancy for departure and vacancy risk with an action window, and identifies verified replacement occupiers for any at-risk or vacant unit. It refreshes fortnightly and presents a portfolio-wide live map and signal feed sorted by who is most likely to move next.
Crucially, Scayled is additive, not a replacement. It is not fund accounting, not a general ledger, not rent collection, not LP reporting, not DCF valuation, and not lease administration. Yardi and MRI remain the system of record, ARGUS remains the valuation engine, VTS remains the leasing pipeline, Juniper Square remains the investor platform. Scayled fills the single gap they all share and hands its outputs back to them: an earlier, evidence-backed view of vacancy risk that sharpens the renewal assumptions in the valuation model, the income forecasts in the reporting layer, and the timing of the leasing pipeline.
Think of it as the layer that tells the rest of the stack what is coming. Access is by request. Request access and Scayled works your first at-risk unit free, so you can see how tenant-movement intelligence sits alongside the systems you already run before committing to anything.
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