Four specialist AI companies are now one group. Here is why we built it this way, what each brand does, and what it is not.
The short version
AISO Group is the parent of four specialist AI companies, each with one job:
- AISO Hub makes your brand the answer AI cites.
- AISO Dev builds AI systems your team can run.
- AISO Buzz produces content that sounds like you, not like AI.
- AISO Learn trains your team from AI-curious to AI-capable.
Each company has its own site, its own team, its own voice. The group exists for one reason: small and mid-sized businesses deserve specialists, not generalists.
Why a group, not an agency
Generalist AI agencies have a structural problem. The work spreads thin. The team optimizes for retainer hours, not outcomes. The client ends up paying for a bundle they never needed.
A specialist team ships faster, cheaper, and sharper - but only on one thing. The group model keeps the specialists specialist, and gives the client a way to add the next one when the work is ready.
The verb test
Every sibling earns its place on the roster by passing a verb test:
- Hub cites. Content architected to be cited by ChatGPT, Perplexity, Gemini, and Google AI Overviews.
- Dev builds. AI systems - agent workflows, data pipelines, internal tools - with a human in the loop.
- Buzz says. Social and content produced from a brand bible, validated before it ships.
- Learn teaches. Corporate AI training with EU AI Act-aligned curricula - proof of competence, not a PDF.
If a piece of work does not pass the verb test for its brand, it does not belong there.
What the group itself does
The group does not deliver. The group routes.
- We triage inbound on aiso-group.com/contact.
- We maintain the shared standards - human review on every AI output, brand-first process, scoped work.
- We handle cross-referrals between brands without running a second sales cycle.
If you already know which specialist you need, go directly to the brand. If you do not, we route you in one conversation.
Who this is for
EU-based small and mid-sized businesses with a real problem and a real budget. Not venture-funded experiments. Not enterprise procurement cycles. Real businesses with real customers.
What is next
- This quarter: named case studies from flagship clients, once they are approved for publication.
- Q3 2026: the specialist series on /news - short posts helping you route between Hub, Dev, Buzz, and Learn.
- End of 2026: a group-level annual report on the state of specialist AI for SMBs.