Product Private beta · Montenegro pilot

Heatfield.

Real estate market intelligence
for emerging markets.

01 — Why this exists

A data gap, not an analyst gap.

In developed real estate markets — the US, UK, Germany — professional decisions are backed by deep, structured datasets. Transaction histories, rental indices, demand curves, infrastructure rollouts. Analysts have what they need.

In emerging markets — Montenegro, the wider Balkans, Caucasus, parts of Southeast Asia — that infrastructure simply does not exist yet. Data is fragmented across local listing portals, public registries, tourism boards, news. Most analyses end up being personal opinion dressed up as a spreadsheet.

Heatfield closes that gap. It aggregates publicly available market signals, structures them against the local legal and cadastral framework, and applies the same investment-analysis methods that a senior real estate analyst would use — at a fraction of the time and cost.

02 — What you get

Decisions, not dashboards.

Each output is structured to drop directly into a pitch deck, an investment memo, or a client conversation. Reports are exportable as PDF and spreadsheet; underlying data stays accessible for those who want to dig.

Output 01

ROI heatmaps

Geographic visualisation of return-on-investment across the target country or region, layered by use case: short-stay rental, long-let, sale, mixed-use. Filter by location, asset type, capital range, and time horizon.

Output 02

Location scoring

Composite scores for any address or parcel, built from demand signals, supply density, infrastructure proximity, tourism seasonality, and historical price dynamics. Useful for quick screening before deeper diligence.

Output 03

Product hypothesis reports

Given a specific parcel and its legal envelope, the platform proposes what to build on it — residential mix, hospitality concept, prefab unit count — sized to local demand and regulatory limits. A starting brief, not a final design.

Output 04

Investment-grade financials

Cashflow models with sensitivity analysis and Monte Carlo simulation, parametrised by the local cost base and demand profile. Output: a range of plausible outcomes, not a single point estimate.

03 — Who it's for

Built for operators on the ground.

Heatfield is designed for small-to-mid professional teams already operating in their target market — not for enterprise REITs or for casual lookers. If your decisions are made on the basis of "vibes and a few comps", this is the tool that puts a layer of structure on top.

ICP 01

Brokers

Defend prices and pitch buyers with structured market data — not anecdotes from last month's deal.

ICP 02

Developers

Find parcels worth pursuing. Decide what to build on them. Compress weeks of analyst work into hours.

ICP 03

Architects

Bring evidence-backed product recommendations to client meetings — even without an in-house analytics team.

ICP 04

Private investors

Compare locations and asset types on a like-for-like basis before committing capital. Stop guessing.

04 — How it works

From raw signals to decisions.

The platform is a pipeline. Each stage is automated, but the assumptions are transparent and adjustable.

Step 01

Aggregate

Continuous collection of publicly available market signals across the target geography — listings, rental dynamics, tourism demand indicators, infrastructure news, macroeconomic context. All data is structured into a single internal model of the market.
Step 02

Anchor to local rules

Signals are anchored to the local legal and cadastral framework — what is allowed on a given parcel, what zoning applies, what construction limits hold. This is where most generic data products give up; it is where Heatfield invests heavily.
Step 03

Apply standard analysis

Industry-standard real estate investment analysis on top — discounted cashflow, sensitivity, Monte Carlo. The output is a range of plausible outcomes with the assumptions visible, not a magic number.
Step 04

Produce decisions

ROI heatmaps, location scores, product hypotheses, financial models. Exportable, sharable, and structured to drop into a memo or a client meeting. New views appear as new data is added.

05 — FAQ

Common questions.

Heatfield is in private beta. The questions below come from the operators we are talking to first.

Which markets are covered right now?

The active pilot is in Montenegro. The architecture is geography-agnostic, so additional markets across the Balkans and other emerging regions will be added based on pilot demand. If your target market is not on the list yet, we still want to hear from you — early users help us prioritise.

Where does the data come from?

Publicly available market signals — listing portals, tourism statistics, public registries, infrastructure announcements, macroeconomic publications. Heatfield is an analytics layer that structures and interprets these inputs. We do not resell raw third-party data.

Is this for institutional investors or smaller operators?

Smaller operators, primarily. Brokers, boutique developers, architecture studios, family offices, and private investors with capital deployed in emerging markets. Institutional REITs typically already have in-house analytics; Heatfield is built for teams that do not.

How is it priced?

Pricing will be a SaaS subscription, finalised at the end of the private beta. Early-access participants will be offered preferred pricing as a thank-you for shaping the product.

Can I use Heatfield for due diligence on a specific deal?

Yes — that is one of the core use cases. Provide an address or parcel, get back location scoring, comparable yield ranges, and a parameterised financial model. The platform structures the inputs; the investment decision stays with you.

Is Heatfield white-label-friendly?

Yes. The product is designed so that brokers and consultancies can present analyses under their own brand. White-label options will be available alongside the standard subscription — talk to us during the beta if this matters to you.

Who is behind Heatfield?

Heatfield is built by MDNK Labs, a Delaware studio founded and operated by Anton Medennikov, an engineer-operator with 12+ years building physical and digital products from scratch — including active boutique real estate development in Montenegro. The product reflects that crossover: it is built by someone who has actually had to make these decisions.