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ORYONIQX — Engineering the Future of Intelligence.
AI Employee · In Development

AI Research

A research colleague that turns scattered reading into a one-page brief your team can decide from. On our public roadmap, written honestly before it ships.

What we are building

A research colleague, not a search engine with a summary button.

Our AI Research employee is on the roadmap. It is not a product you can buy today, and we will not pretend otherwise. The page you are reading is the brief we are writing to — the role we intend it to play, the kinds of work it should produce, and the boundaries we have drawn around its use.

If a tool with this remit is the difference between doing the read and skipping it, tell us. That is the signal that decides whether it lands sooner or later.

No working name yet

We have not given this AI Employee a name on purpose. A name commits us to a personality, and we want the first iteration of the role to be the design driver — not a brand choice.

When we are close to launch, we will ask the first cohort of pilot customers to help us pick a name that fits how they use it.

Who it will be for

SME leaders who keep up with too much, with too little help.

The first version of AI Research will be designed for European SMEs of 10 to 250 employees — for the people on the leadership team whose job is partly "know what is going on," without having a research function behind them.

  • Operations and strategy leads doing quarterly market reads for SMEs who cannot justify a research analyst
  • Founders preparing a board pack or investor update who do not want to read 200 pages to write 3
  • Procurement and IT leads comparing vendors on criteria that go beyond the brochure
  • Sector leads at professional services firms who need to stay current without a research team

Planned output

The kinds of briefs a finished AI Research should produce.

The list below is the brief we are writing to. It is not a delivery date — and it is not a metric — but it is the work we expect to be good at, before we put it in front of a paying customer.

  • A one-page research brief on a market, regulation, or technology, with sources cited in-line
  • A vendor comparison table built from public documentation, with the trade-offs your team cares about
  • A summary of the last quarter of news on a topic you track, in the language your team reads
  • A short internal explainer for a new regulation your industry is preparing for
  • A pre-meeting brief — pull together the relevant context, so the meeting starts informed
Boundaries

What AI Research will not do, even when it ships.

Research tools get used in sensitive decisions. We treat that with the gravity it deserves. The four lines below are the ones we will not cross at launch or later.

  • Everything it produces cites the sources it used; nothing is presented without a trace
  • A human reviewer confirms every brief before it is shared outside the team
  • It does not produce original analysis of confidential or customer-specific data
  • No scraping of paywalled content; public sources and your own document store only

Show us what you would ask it first.

A real question from your work is the most useful feedback we can ask for. Bring it to a meeting and we will talk through how the AI Research employee should approach it.