The AI we build
Almost everything sold as artificial intelligence today is a text box waiting for your question. What we build does not wait: it takes a goal, does the work and answers for it the way a human would.
The distinction that matters
01
It answers if you ask and forgets. The work is still yours — it just comments from a separate window.
02
It takes a goal and pursues it to the end, inside your operation: the inbox, the ERP, the warehouse.
03
It understands your business context, works as one of the team, explains every decision back to its source and, when it does not know, says so. That is what makes it safe to trust with real work.
That is not a technical nuance: it is the difference between a tool and someone on your team. We call ours Cognitive Agentic AI, and the hard part to copy is not that it works: it is that it knows what it is doing.
It connects to yours
An agent that cannot touch your systems is a chatbot with delusions. Ours read and write where your business already lives: the inbox, the ERP, the store, the same old bank.
Gmail
Google Sheets
Google Drive
Google Calendar
Notion
Telegram
WhatsApp Business
Instagram
Facebook
TikTok
YouTube
X
Shopify
WooCommerce
PrestaShop
Stripe
PayPal
Odoo
Sage
HubSpot
Zoho
Dropbox
Trello
Asana
Mailchimp
Zendesk
WordPress
LINE
Shopee
This list is not a closed catalogue: it is a rule. If it has an API, we connect it. And if it does not, probably still — ask us.
Most software was born before this generation of AI and had it bolted on: a new button on an old architecture. AIM was born the other way round — agent first, product built around it. That is not marketing nuance; it is architecture.
Behind it stands a company that has shipped technology for 27 years. AIM is its software division, created in 2025 on a single premise: AI is not a feature of the system. It is the system.
People first
At AIM, psychology is not decoration — it is the team's training and a design criterion. We were not born from a programmer's mindset: we were born from human and digital psychology. A system that works with people is designed knowing how people attend, decide and trust.
Inside every product runs what we call Cognitive Agentic AI — and it owes rather more to applied psychology than to applied programming. How it is built stays in the lab. What matters shows in the results: it understands your context, works as one of the team, justifies every decision back to its source and, when it does not know, it says so. Ask any other system for those four things — then compare. From our founder: 'The first machine that thinks on your plane' →
01
Attention is finite. Our systems deliver the outcome and hide the noise, instead of adding another dashboard to learn.
We measure success backwards from traditional software: the less time you spend inside the system, the better it is built. Attention is your company's most expensive resource, and the first thing we protect.
02
Every figure traces back to its source, and the system says 'I don't know' rather than invent. Applied psychology — and engineering.
Trust is not requested: it is shown. Every action logged, every decision explained, every figure one click from its source. Audit the agent the way you would audit an employee — any time.
03
We know exactly how false urgency and manufactured scarcity are built. That is precisely why we refuse to build them.
No streaks, no countdowns, no variable rewards, no FOMO. We are psychologists: we know how those mechanisms work — which is exactly why we use them neither in our products nor on you.
The range
The range is software itself. If it can be described, it can be built around an agent.
01
Full back-office systems where the agent reconciles, invoices, chases and prepares taxes under human supervision.
02
Domain assistants — legal, tax, technical — that cite their source and abstain when they lack one.
03
Marketplace operations: pricing, content, incidents, reporting.
04
Interactive learning with real game design, on web and mobile.
05
High-end experiences on our own engine, up to 3D in the browser: proof of technical capability, and brand marketing any company can commission.
06
Web, mobile, desktop, integrations. If your case is not on this list, that is the slot it goes in.
None of this is a roadmap: everything above exists and runs today.
The principle
If you can imagine it, we make it real.
And what you cannot imagine yet — because nobody has shown you it exists — we help you discover. And make real too.
The lab delivers the first half: the product list below is not a promise. The diagnosis delivers the second: it shows you what your operation can already ask for — and nobody had told you.
Out of the lab
You do not have to take our word for it: every product has a door. Walk in, try them, judge the level yourself. The games count too: proof of technical muscle, and brand marketing any company can commission.
And many more on the way.
The question is no longer whether AI can do the work. It is who builds the system so it does the work well — and answers for it.
That is exactly what the diagnosis answers — with your data, and no invented percentages.
No personal data here. For specifics, use the form.