Studio Nexnet designs and builds platforms, applications and engines — products that did not exist before we built them. Each one runs on Nexnet Connect, our orchestration layer: it picks the AI model to fit the need instead of forcing one on you.
Our works
Three things that did not exist before we built them — our own and clients', presented without names. Each one stands up because of an engine nobody was selling.
Spotting business opportunities and public tenders meant a daily manual watch, in two languages.
A bilingual monitoring engine with connectors into public tender systems, surfacing relevant opportunities instead of making people hunt for them.
Comparing dozens of companies on consistent ratios took hours of spreadsheet work, redone at every update.
A quantitative relative-valuation tool for TSX and TSXV listings that rebuilds the comparison on demand.
The official statistics are public, but they describe the past. Nothing turned them into comparable probabilities, action by action, ahead of the evening's games.
A bilingual platform that recomputes close to 26,000 indicators nightly — sixteen in-game actions, more than 1,500 players — and shows the sample and the limits behind every number.
No financial outcomes are claimed here: what is described is what was built.
Nexnet Connect
None of these platforms sits on an AI model someone simply plugged in. Between a model and a product that holds up, everything is missing: picking the right one for the task, having another one read the result back, writing the algorithms the domain needs. Nexnet Connect does that work. It is our layer, and it is what we wire underneath your products.
One model to reason, another to extract, a third to check the first two. The layer picks by task instead of locking you into a single vendor — and the day a better model ships, we swap the part, not the product.
When the problem calls for mathematics rather than language, we write the engine: probabilistic models, convolutions, scoring, rankings, context adjustments. These are our algorithms, not an API resold to you with a margin.
Nexnet Connect does not sit at the same level from one month to the next. Every pass makes it better, and it revisits its own choices without us correcting them one by one. How it does that is the part we don't publish: it is what makes the difference, and it is why the layer stays ours.
The layer runs every day on Nexnet's own platforms before it is ever wired into a client's. Whatever breaks, we find it at our place — and that is why a product ships in weeks rather than quarters.
What's next
Nexnet Connect is what moves us, product after product, toward an intelligence that takes on a whole job rather than a piece of one. We push it on every engagement, and it pushes itself. What we ship you is what it already does well — and that is already more than a single model would give you.
The starting point
While the product does not exist, everyone has an opinion and nobody has an answer. The real risk is not spending too much — it is spending a year building the wrong thing because it took a year to have anything to show.
Unlike a SaaS subscription, what we deliver is your property. You control it, you evolve it, you host it wherever you want.
Every feature answers a real need in your organisation. No compromises, no leftover functionality inherited from another client.
Four stages and real dates. Two of them end with your approval: the design, then the demonstration of the product.
What we build
Validating an idea and building something that lasts are not the same commitment. We do not sell the second to someone who needs the first.
A product that genuinely works, in your hands within weeks, for an amount known in advance. Real enough to put in front of real users and get an answer back.
The whole platform: the engine, the interface, the data, the production deployment, and what it takes to hold up when the user count climbs.
A real product, in front of real users early enough that their reaction can still change something.
Validation Let's talkProbabilistic models, scoring, recommendation, monitoring engines: what no vendor sells because nobody else needs it.
Proprietary engine Let's talkA platform that turns a pile of data into something people consult, understand, and will pay for.
Data platform Let's talkA funding round, a board meeting, a trade show. We start from the date and decide together what fits inside it.
Hard deadline Let's talkAn innovation team inside a large organisation? Same work, different contractual frame. That gets discussed directly, not through a form. Email us
How we work
We design the foundation from the needs you set out, and you approve it before development starts. Then we demonstrate a working product: that is when the last adjustments get asked for, while they still take days rather than a new project.
How it runs
Four stages and dated milestones, for a full product. A prototype follows the same path, compressed. You decide twice: on the design before we build, then on the product we demonstrate to you.
A 60 to 90 minute session to map your processes, spot the real opportunities and settle the priority features.
Mockups, technical architecture and development plan. You approve every decision before any code is written.
The product is coded and tested. The stage ends with a demonstration of a working product, in front of you.
Deployment to production, training for your teams and post-launch support. Your product's code is handed over, and the support plan takes over.
We don't sell you superintelligence.
We ship you what we can get out of it today.
What we built is Nexnet Connect: the layer that orchestrates the existing models — not the models. And if something off the shelf already solves your problem, we name it before you have signed anything.
The questions we get
Honest objections deserve honest answers. These are the ones we hear most.
A prototype is sold at a fixed price: the amount is stated before we start and does not move. A full product is quoted after a scope written together. Either way you leave the meeting with a written quote, before committing to anything.
That's why the scope is written down before we start, and why you approve the design before anything gets developed. The product is then demonstrated to you in working order before it goes live: that is when the last adjustments get asked for, while they still cost days.
That is the normal starting point, and it is exactly what the meeting is for. Writing down what has to be built is part of the work, not a prerequisite. What matters is that you know which question you are trying to answer.
We do. A monthly or annual plan covers support, maintenance and updates — including Nexnet Connect's own, which moves every time a better model ships. That is what replaces the technical team you do not have to hire, and it is why a product delivered a year ago still works today.
No. What matters is that someone on your side can decide quickly and answer questions without going through a committee. Two decided founders move faster than a hundred-person organisation where nobody holds the mandate.
Often that is the right answer — and we'll say so. Custom is justified when the way you work is your advantage, and a standard tool would force you to give it up. If something off the shelf does the job, you don't need us.
Your product is yours: its code, its documentation, your data, your accesses. None of it gets reused elsewhere and we take no equity. Nexnet Connect, the orchestration layer that runs it, stays our property and is licensed to you for the life of the product — it is the tool we work with, and it serves every one of our clients.
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The conversation
No sales deck, no service menu. A conversation about what you want to bring into existence, what is already doable today and what is not yet. You leave with a written quote.
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