One parcel, one model, one decision

You look at a photograph of a plot. A green patch of land, a road along one edge, a few rooftops in the distance. Then you look at the same plot through a slope map: a north-facing incline at twelve percent, a three-metre elevation drop along the western boundary, the nearest transformer four hundred metres away. Both views show the same place, but they answer different questions. The first asks what it looks like. The second asks what can happen here.

Most tools in the property business answer the first question. A photo is taken, a filter is applied, a listing is written. The second question usually stays in a specialist's head — and if that specialist isn't with you, there is no answer.

What it was, what it became

Parselo started as a video tool. You entered a cadastral parcel number, boundaries were drawn, the terrain turned into a three-dimensional scene, and within minutes you had a shareable promotional video. It worked — but the data underneath could say far more than the video ever showed.

Producing that video already required reading the terrain's elevation model, computing slope, pulling parcel boundaries from the official registry and mapping the surrounding roads and settlements. In other words, most of the material needed for a decision was already sitting behind the camera. It only had to be made visible.

Today Parselo is a land decision engine. Video is still produced — but it is now one output among several.

End to end

Everything starts with one input: province, district, neighbourhood, block and parcel. Those five fields map to an official cadastral record and give the plot's boundary to the metre. Once the boundary is known, the rest becomes computable.

Elevation data falls inside that boundary: how steep the land is, which way it faces, how much the level changes across it. Then the surroundings are read — nearest road, settlement, power line, water source. All of it collects into a single spatial model. The same model drives the video, the agricultural analysis and the warehouse feasibility. That is why a credit spent on a parcel doesn't buy one output; it opens the whole model.

The order matters. In Turkey a cadastral parcel number is a plot's unchanging identity. Addresses change, street names change, even neighbourhood boundaries change; the cadastral record stays. Anchoring an analysis to that record rather than to an address keeps the same plot from appearing as two different places in two different reports.

Slope makes this concrete. On a five percent incline, foundation cost is largely standard. At fifteen percent an excavation line appears, retaining walls enter the conversation, and the buildable footprint effectively shrinks. At twenty-five percent, farm machinery access becomes a problem and some crops drop out entirely. None of this is visible in a photograph; all of it is computed from the elevation model.

Aspect works the same way. A north-facing slope receives markedly less winter sun — which shapes cabin placement for eco-tourism, crop selection for farming, and pre-screening for solar. The same two numbers, slope and aspect, mean three different things in three different sectors. That is why the engine is one and the lenses are many.

Three layers

The easiest way to understand the product is as three layers. At the bottom sits the engine: Geographic Intelligence. It intersects official layers with the parcel and reads zoning status, risk records and topography. It is not a module sold separately; it is the ground everything else stands on, and it stays that way.

In the middle are the sector lenses. Look at the same parcel as a farmer and soil profile, frost risk and crop suitability come forward. Look at it as a logistics operator and you care about truck manoeuvring space, distance to an export gate and rack height. Look at it as an urban developer and you need the building envelope, unit mix and floor premium. The lens changes; the land does not.

On top is the presentation layer: video, digital showcase, printed poster. This is where analysis turns into a sale. You don't show a client a slope percentage; you show them what the land could become.

What we don't do

Knowing a system's limits matters as much as knowing its capabilities. There are areas Parselo deliberately stays out of:

• We do not show ownership or personal data. Names on a title record are personal data; the product neither collects nor displays them.
• We do not issue valuations. "This plot is worth X" is an appraisal claim and falls under capital markets regulation. We compute the physical and legal reality of the land; the market sets the price.
• We do not present unqueryable data as "no risk". If a layer returns nothing for a parcel, the report says so plainly. Quietly turning an unknown into good news is more dangerous than a wrong answer.
• We do not produce engineering proposals for energy projects. We pre-screen — is this site a candidate or not. A qualifying site still needs an engineering firm.

Being explainable

Producing a number is easy. The hard part is being able to say where it came from. A system that scores a plot out of a hundred without showing how it built that score is ordering the user to trust it — and at the first objection they have nothing to defend.

So every output carries its source: this boundary came from the cadastral record, this slope from the elevation model, this distance from the road network. When a client asks how you know, you have an answer. And when a layer cannot answer for that parcel, the report says so — leaving an unknown blank is more honest than turning it into good news.

Who it is for

Parselo was written first for the individual property consultant: someone with land in their portfolio, struggling to explain it, with neither a GIS specialist nor a video team in the office. Land investors and agencies are the secondary audience — they use the same engine at higher volume.

The practical consequence: the product does not tell you whether a plot will sell. You are the one who sells it. What it tells you is what you are holding while you do — the slope, the boundary, the zoning status, the surroundings, which uses the land suits. The weakest position at a negotiating table is having to answer a question with "I don't know".

We are not a portal. We don't publish listings, we don't match buyers with sellers, we don't take commission. We give you the tools to explain your portfolio; the portfolio stays yours. That is a deliberate position: being a portal means standing between you and your client.

Pricing, in one sentence

One credit is one parcel: that parcel's video and its open analyses. What a credit produces is not a single file but the model of that piece of land — you can return to it and read it through different lenses.

Closing

A photograph of land is interpreted. A model of land is computed. The difference is the one between "I think this looks nice" and "this has a twelve percent slope and faces north". The second can be argued with, verified, and turned into a decision.

That is the work: making land arguable.