Traditional linear thinking is bankrupting the modern enterprise. Whether you are building physical logistics facilities or deploying internal IT databases, the standard approach is always the same: throw massive amounts of capital, heavy materials, and recurring monthly retainers at the problem.
At KovaKeloLabs, we operate differently. We utilize Multi-Parallel Recursive Thinking—the ability to look at a single business bottleneck from dozens of dimensions (architecture, biology, physics, and economics) simultaneously.
By integrating biological first principles with advanced enterprise technologies like GraphRAG, Google Vertex, and Agentic AI Swarms, we design systems that harness the laws of nature rather than fighting them. We proved this at our own heavy-industry equipment and future and existing facility's that already houses them, KovaKelo, where we engineered stabilization chambers and heavy-duty logistics for 1-5-ton relic wood monoliths at a fraction of traditional CAPEX and maintenance costs.
Now, as the Baltic Sea–Greece logistics corridor expands, we are officially offering our System Architecture services to medium and enterprise-level businesses in the Budapest – Debrecen – Oradea – Sofia corridor.
Our Promise:
• Rapid Deployment: Proposals for exact architectural or IT solutions in days. Frictionless enterprise operation in weeks.
• Absolute Privacy: We don't need your internal data or statistics, just the big picture.
• No Retainers: We reject legacy AI and consulting business models. We build the system once, your team adapts, and we don't bleed you with monthly fees.
Our only goal is to eliminate your bottlenecks, drastically reduce your initial investments, and increase your revenue.
For the exact algorithmic, mathematical, and physical proof of how we engineer these frictionless systems—from biological first principles to enterprise AI—read the full technical breakdown below.
Multidimensional Vector Maps and First-Principle Engineering
Finishing the university of architecture, I was lucky enough to spend 10 to 20 years researching sustainability. This was documented in over 300 research papers and built projects. We started with chicken coops, building them at a large scale compared to traditional free-range or modern closed enclosures.
The thinking we use at KovaKeloLabs is nothing new. In IT or AI niches, we call it multi-parallel recursive thinking. Basically, it is something that modern AI and humans naturally do: thinking and seeing one thing from many niches and many dimensions at once. Let's look at the most simple example, which I documented and uploaded the blueprints for free—with a full business model—on my website. I won't get into all of it, but if we think as an architect, biologist, environmentalist, and maybe an investor—crossing many niches at once—we can see the truth.
There are lots of areas on the planet that are deemed useless. However, just like the periodical migration of herd animals—like buffaloes in the USA, natural goat herds, or elephants in Africa—they don’t overgraze an area, they just visit periodically. Chicken is the cheapest entry point in food. They are easy to buy and keep, and compared to other animals, they are almost indestructible and highly resilient. Again, I am not talking about novelty or "flower-power" grazing; I am basically thinking of it like vector maps and GraphRAG.
In first-principle thinking, if we isolate novelty, we need to see what actually kills chickens. They do well down to minus 30°C. In our area, we don’t have that, so we immediately disregard heating. Secondly, the only highly vulnerable part is their feet. Through first-principle thinking, if we ensure their feet are not frozen, they aren't getting bitten by animals while they sleep, and they are clean from feces and bacteria—while sheltered from wind and moisture—they are safe.
Then we look at predators. What predators are in the area? Snakes? Rats? Mice? We research studies to find out how far or how tall these animals can jump, and determine what prevents them from getting into the chicken coop. Then we look at animal behavior. Chickens, in general, are peaceful creatures. If they are all in the upper part of a structure at the same elevation, they won't fight over places. All will feel safe at the same level. Basically, that’s psychology and animal behavior that most neglect. We can't just be builders or architects forcing a design. As one of architecture's godfathers said: form follows function. We need to do the same.
Engineering the Wind and M = F Ă— L
As a simple example: since rats can't jump higher than 1.5m, that means chickens are safer above that height. So the lower level of the enclosure is set at 1.5m, plus the wind shield—let's add another 1 or 1.5m. That means we are at 3m total height.
Yes, and here comes the human ego: "But we need multi-million dollar facilities, hedge funds, and VC money investments!" No, you need to be humble, see reality as it is, use common sense, and collapse a million niches into one focal point: architecture, engineering, wind patterns, animal psychology, biology, and chemistry.
So regarding that height, engineers in the Oradea, Debrecen, and Budapest areas calculate roughly 90kg/m² of wind force. Because the lower part is empty (so rats can't jump up), that means we only need to fight the wind on the upper parts. That leaves us with—let's be generous—1.5m. That would be 90kg/m² * 1.5m * 1.4 (the engineering safety factor). So every linear meter of the chicken coop faces roughly 189kg of force from the wind.
As a quick example, if we as architects or engineers start to calculate a traditional facility being at least 6 to 10 meters in height, usually with large openings—let alone dealing with wind—we are back to 90kg per square meter. That means a 5m tall building is 5m x 90kg x 1.4 for the safety net. As a quick calculation: 630kg of force. Every single meter.
Sure, it's simplified, but that’s not even the main issue. As I learned at the university of architecture, that is the smallest issue. The big issue is M = F * L. Momentum equals Force multiplied by Length. The longer your arm is, the heavier the shopping bag in your hand will get. Huge 3m, 6m, or 20m openings need extraordinary engineering and material usage to compensate for rotational forces. They must compensate for seismic activity, big openings, and winds.
If we keep the structure less than 2m wide and tiny—lightweight like a tent—that means we skip almost all of that. A 5mm metal cable can anchor the small structures, and by applying Pythagoras' rules, we almost completely eliminate even the 200kg pulling or pushing power of the winds. And it costs pennies.
Material Science and Biological Optimization
The material usage shouldn’t be purely architectural; it should be chosen based on what we call, in AI GraphRAG science, a multidimensional vector map. Basically, cross-matching industries, like finance and money savings. Using just one extraordinarily powerful layer that deals exceptionally well with rain, wind, and UV rays is the right choice.
The material used is HDPE foundation sheets. It's built to hold the earth away from concrete foundations. It is extraordinarily durable against earth pressure and is built to separate pressurized water from foundations. By using that as the sides of the building from 1.5m up to 3m in height, it perfectly matches the dimensions the material is sold in. They can be bought in roughly 1m, 1.5m, and 2m rolls. Flawless.
If we use the multi-parallel recursive thinking that modern AI uses, this material solves many other things as well. It feels like plastic to the touch, so feathers won't stick to it. If we don't let chickens touch it at their nesting areas, that means it never gets dirty, meaning no need to clean. Mold, termites, bugs, and parasites can't hide in it. Spraying it periodically can spare the chickens from pathogens or bacteria. Because the color is black, in summertime it easily heats up to 55-60°C, which naturally eliminates bacteria and parasites.
sustainable storage facility building
The agricultural enclosure is merely a foundational example of first-principle physics in action. At KovaKeloLabs, we take these exact findings—eliminating structural wind shear, bypassing expensive HVAC systems, and utilizing passive thermal stabilization—and scale them directly into heavy industrial logistics. We apply this same multi-parallel recursive thinking to architect storage facilities capable of protecting highly sensitive, high-ticket merchandise. Whether it is our own 5-ton relic-grade wood monoliths, climate-sensitive clothing and textiles, temperature-dependent beverages, or high-value electronics, the physics of frictionless, climate-stabilized storage remains exactly the same.
At KovaKelo, as we deal with bugs and spores that need to hit 55°C for at least 3 minutes—or require 120°C temperatures to kill spores—we are highly aware of this. Sure, 55°C is not hospital-grade sterilization, but maintaining that temperature for hours and hours, day by day, will make bad bacteria suffer, that's for sure.
Because a structure like this is just a nesting place for free-range chickens, it can be extraordinarily packed because the lower part is open. The feces fall directly to the ground. So here, traditional rules regarding packing density simply don't count. Chickens will sit extraordinarily close to each other as natural behavior. Therefore, not only is the construction cost dozens of times cheaper, but the capacity can be calculated almost exactly by how much space a chicken occupies sitting on a desk multiplied by two, so they can jump down freely anytime they want. Basically, it maximizes capacity.
Enterprise IT and System Architecture
Having worked in Enterprise IT, helping million-dollar businesses with Office 365 technology, SharePoint, Microsoft Entra, etc., I learned that everything is basically databases and optimization. Permissions and identity.
Chickens are allowed to enter; other animals literally can't. It's like a fortress on tiny metal legs. Chickens can retreat in seconds if danger comes, and can jump down in one movement. The 60°C walls and rooftop are explained in the longer article, so we won't get lost in the details here. You can read the longer article on the website, where the step-by-step free tutorial and blueprints are freely available.
At KovaKelo, when building industrial equipment and preparing the storage facilities and auxiliary heavy-duty equipment to safely store our raw materials, we used the exact same multi-parallel recursive thinking. This applies especially to the storage places. These are places that need to keep merchandise at stable, above-freezing temperatures year-round, while keeping workers comfortable—not getting too hot in the summer heat or too cold in winter. Designing and preparing these storage facilities that we will use at KovaKelo (and have already started using on a smaller scale) wasn’t just about the initial investment, but the monthly maintenance as well.
As an example, at KovaKelo we have and will need dozens and dozens of chambers that make wood hydrostatic and stabilize it. All wood types, thicknesses, and species need various timeframes, temperatures, and moisture contents, and the cycles can vary wildly. This means one unified system would be an issue, so we built many. All of them need a housing, a roof, or a facility that shelters them. In traditional linear thinking, that might mean 300,000to500,000 machineries, plus the same amount per facility.
We skipped that and thought of it like Michael Levin, the biologist. We thought of the whole business as a macro-organism. Collapsing biology, chemistry, and architecture all into one gave us unprecedented, beyond-human-comprehension advantages at scaling, both in initial investments and maintenance.
The KovaKeloLabs B2B Offer
KovaKeloLabs is the intelligence behind KovaKelo. We use what we call multi-parallel recursive thinking, Google Vertex, and heavy-duty GraphRAG enterprise technologies to unify and see businesses as a whole.
Therefore, we create frictionless solutions and extraordinarily fast deployments at a fraction of the price of traditional linear thinking approaches. Be it physical logistics, buildings, or setting up a highly advanced AI system based on GraphRAG, vector maps, or multi-recursive agentic swarms that self-heal and self-correct in real-time live searches, we offer our services and help to others.
Now, with the building of the Baltic Sea to Greece road corridor, the logistics along this corridor will make these areas thrive. Therefore, we offer our services to this Budapest-Debrecen-Oradea-Sofia corridor to help out other businesses as well. We do not help just with architectural services, but with system architecting. That means we look at medium, big, or enterprise businesses using multi-parallel recursive thinking and find a solution—just like in nature—with the path of least resistance.
In case we partner, we do not need company data, internal numbers, or statistics. At any point, the data remains private. We just need to see the big picture of how the enterprise IT works and operates. By looking at the obvious parts, in less than a few days we will have a proposal for exact architectural solutions—like facilities and GraphRAG, Agentic AI, or Google Vertex—so you can see how the company or enterprise can become frictionless compared to traditional approaches, all in under a few weeks.
We do not charge monthly fees and maintenance, and we do not sell memberships. We are not a recurring payment business model regarding KovaKeloLabs. We help you once, and your team will be able to use it and adapt to the system. Sure, we can have a meeting every 6 months or a year to refresh new ideas, but it's not a monthly recurring thing that keeps stopping and needs constant maintenance. That is for legacy AI business models.
Our business model is to get real results for others and increase their revenue without making apologies. Our biggest goal is to see sales rise for the companies we help.
We have a good offer and invite everybody to check it out here:
