Hermes researching at his desk, the visual identity of Ariy&Co's research model

Meet Hermes.

The research layer behind better decisions.

Hermes explores businesses, people, websites, and opportunity signals before the next move is made. He gives Ariy's teammates better context, keeps the evidence attached, and turns scattered information into something useful.

Research

Find the useful signal.

Connect

See what belongs together.

Explain

Keep the evidence behind it.

Hermes

Research model

System emblem

What Hermes actually is.

A research system, not a mystery box.

Hermes is Ariy's research model: a system that combines AI models, search, tools, structured workflows, and source evidence to investigate a question before returning an answer or passing context into another part of Ariy.

We don't present Hermes as a foundation model we trained from scratch. The underlying model stack can evolve as better tools become available; the research workflow, evidence handling, and way that intelligence connects into Ariy are the product.

Hermes
System layer · supports the teammate

Research system

Opportunity dossier

HermesResearch complete

Hermes gathers the evidence; it does not become another teammate the customer needs to understand.

Company1 record
Contact2 records
Website audit1 record
Competitor1 record
5 evidence records · 9 sources

Opportunity evidence

Website + business context

74/100Prepared forRemy

Technical opportunity

82

Commercial signal

68

Pages evaluated

7

Decision makers

2

Audit findings

Weak structured dataBooking frictionContact page foundPortfolio reviewed

Recommended next move

High-confidence opportunity. Remy now has verified context to decide the next follow-up.

Hermes prepared the dossier for Remy

Research complete · sources attached

Real Ariy Hermes patterns shown with illustrative evidence.

See why, not just a score.

Research should arrive with receipts.

Hermes keeps the evidence behind what it finds. That makes it easier to decide whether an opportunity deserves attention, what still needs verification, and what another teammate should know before acting.

The business

What they do, where they operate, how they position themselves, and the company context that matters.

The people

Likely decision makers, roles, contact evidence, and how confident Ariy is in what it found.

The website

Pages reviewed, obvious friction, technical gaps, and places the customer experience could be stronger.

The opportunity

Useful market signals, competitor observations, and the source links behind the recommendation.

Research before interruption.

Hermes can work through the noise before anything asks for your attention.

Ariy can observe businesses, queue the ones worth a closer look, let Hermes research them, and only surface stronger opportunities. Remy starts later in the process, with more context and fewer dead ends.

Discovery + research

Last 24 hours

Businesses observed

42

Worth a closer look

11

Queued to Hermes

8

Research completed

6

Strong opportunities surfaced

4

Active automation issues

0

Research detail

Website audit

74/100
Booking frictionWeak structured data7 pages inspected2 decision makers

The sources stay attached.

Another teammate or a person can inspect where the recommendation came from instead of trusting an unexplained AI conclusion.

Useful context before the conversation.

Make the next move feel informed, not automated.

What Hermes finds can help decide which opportunity gets surfaced, what Remy should know before a conversation, and whether the next action deserves a person at all.

Research informs what happens next.

Aletheia watches what the research leads to — and whether the system should keep moving that way.

Meet Aletheia