Know who to contact.
Why now.
What to say.

ARIOS connects your accounts, contacts, events, and sources into a structured intelligence layer — and drafts the next revenue action for your review.

Built for travel, DMC, MICE, and partner-driven B2B sales. Every AI action requires human approval.

Managed by Pangratis AI.

Your CRM has the record. It does not know what to do with it.

In partner-driven sales, relationships are the asset. But relationships decay silently between meetings, events, and deal cycles. The problem is not missing data — it is that nothing tells you which relationship needs attention today, why this week is the right moment, or what the most credible first move is.

Relationships decay unnoticed

Partners you met at a trade show are now making decisions. Your team does not know. There is no alert, no reminder, no warm path detected.

Warm paths buried in noise

The right introduction exists in someone's inbox or LinkedIn network. Nobody connected the dots because no system was watching.

No memory across cycles

Every new sales cycle starts from scratch. The previous cycle's context — conversations, contacts, timing — is lost in email threads and old notes.

CRMs store records. They do not act.

A CRM is a filing system. It has no timing intelligence, no evidence layer, and no proposal for what to do next with a relationship you already have.

Cold outreach is losing. Warm, evidence-backed timing is winning.

B2B buyers — especially in travel, MICE, and partner-driven markets — are ignoring cold messages. The teams closing deals today are doing so through warm introductions, well-timed follow-ups, and outreach grounded in something the contact actually cares about right now. Assembling this intelligence manually takes hours and requires near-perfect memory. ARIOS structures this work so it takes minutes.

01

B2B buyers receive more cold outreach than ever and engage with less of it. Timing and relevance are the only advantages that remain.

02

Warm introductions and shared context close faster than cold contact in every relationship-heavy market. Most teams have no system to surface them.

03

Most B2B teams lack a system to track when a partner relationship is warm enough to act on — and miss the window while it is still open.

Not a CRM. Not a chatbot. Not a lead database.

ARIOS is a relationship intelligence and GTM execution system. It connects account history, contact networks, monitored sources, attended events, and real signals into a structured workspace — and uses AI to propose the next revenue action for your review. Think of it as the layer between knowing your partners and doing something about it.

01

Relationship Intelligence

ARIOS builds a structured picture of your accounts, contacts, warm paths, shared events, and interaction history. It tells you who is in your network, what has changed, and which relationships are ready to act on.

02

Source-Backed Evidence

Every action ARIOS proposes is grounded in evidence from monitored sources, events, signals, and account history. You will always know why ARIOS is recommending something — and so will your contact.

03

GTM Execution Layer

ARIOS turns intelligence into proposed actions — outreach drafts, follow-up reminders, event-to-pipeline moves — surfaced in an action queue for your approval. Nothing goes out automatically.

ARIOS is not a tool for reading reports. It is a system for turning your relationship context into approved revenue actions.

From signal to approved action in four steps.

1

Connect your intelligence layer

Add your accounts, contacts, and sources. Connect events you attend. ARIOS builds a structured map of your relationship landscape.

2

ARIOS monitors and detects

Sources, contacts, account activity, and event data are continuously structured. When something changes — a signal, a warm path, a timing window — ARIOS surfaces it.

3

Evidence-backed action proposed

ARIOS proposes a specific next action — an outreach draft, a follow-up, an introduction — with the evidence cited and visible. You know the why before you decide.

4

You approve. You send.

Every proposed action sits in your review queue. You edit, approve, or dismiss. Nothing reaches a partner without your decision. ARIOS manages the memory. You make the call.

Eight capabilities. One intelligence layer.

Relationship Graph

A structured map of every account, contact, event, and connection your team has ever touched. Relationships do not get lost when team members change.

Warm Paths

Find the fastest, most credible route to the contact you need. Never approach cold when a warm path exists in your network.

Source-Backed Evidence

Every action ARIOS proposes comes with a cited reason — a specific source, signal, or interaction that makes the timing relevant.

Action Queue

A prioritised list of revenue actions waiting for your review, not your research. Start each day knowing exactly where to focus.

Event Intelligence

Connect every trade show, conference, and networking event to your pipeline. Relationships made at events become structured pipeline input.

Network Intelligence

Understand the person, not just the company. Know who holds the relationship at each account before you invest time in the wrong contact.

Revenue Memory

Your team's collective relationship history, preserved across every deal cycle. Future cycles start from accumulated context, never from zero.

Human-Approved Drafts

AI writes the first version. You decide whether it goes. Every draft sits in review until you approve. Nothing is sent automatically.

Your network from ITB Berlin can close a deal this month. ARIOS finds the path.

In partner-driven travel and MICE sales, the timing and context of outreach determines whether a contact responds. ARIOS structures the intelligence work so your team always approaches partners at the right moment with the right evidence — not from memory, but from a system.

1

ARIOS builds the account picture

Your Indian agency contacts from trade shows across two years are structured into an account map. Warm paths, shared connections, and event history are visible for each one.

2

A signal surfaces

A monitored trade publication posts an article about Gujarat-based agencies reporting 40% growth in Europe luxury demand. ARIOS links the article to two accounts in your system. Both were last contacted 94 days ago.

3

ARIOS proposes an action

In your action queue: re-engagement opportunity for Ahmedabad Luxury Travel. Last contact 94 days ago. Signal: demand growth article. Warm path: shared contact from WTM London 2024. Draft message ready for your review.

4

You review and approve

The draft references the article, mentions the shared WTM connection, and notes the Gujarat expansion opportunity. You edit two sentences, personalise the sign-off, and approve.

5

You send. Outcome is logged.

You copy the message into your email client and send it. ARIOS logs the action, date, and outcome. The relationship memory grows richer for the next cycle. ARIOS never sends on your behalf.

The AI proposes. You decide. Always.

ARIOS never sends a message, initiates contact, or takes external action without explicit human approval. This is not a limitation — it is the core design philosophy. AI in relationship-driven markets needs to earn trust with evidence, not replace judgment with automation.

No auto-send. Ever.

ARIOS does not send emails, LinkedIn messages, or any external communication automatically. Every action requires a human decision before anything leaves the system.

Every action has a source.

If ARIOS proposes outreach, it shows you exactly why — which signal, which source, which relationship context triggered the recommendation. No black-box suggestions.

You control the record.

Every approved and sent action is logged to the account. Your team's collective relationship memory grows with every decision you make — and every outcome you record.

Built on real AI infrastructure, not feature flags.

ARIOS combines several layers of applied AI engineering to deliver relationship intelligence that is actionable rather than decorative. It is not a single LLM API call behind a search box. It is a structured pipeline connecting account data, contact graphs, monitored sources, event records, and historical interaction patterns — producing evidence-grounded proposals reviewed and approved by humans.

01

Relationship graph construction

ARIOS builds a graph of accounts, contacts, shared events, and relationship paths — making warm introductions and network connections discoverable and queryable.

02

Multi-source evidence engine

Sources, events, signals, and interaction history are structured into a per-account evidence layer. Every AI recommendation cites specific evidence from this layer.

03

Human-in-the-loop action generation

AI-generated outreach drafts and action queue items are generated in context and held in a review state until explicitly approved by a human operator. No action escapes the review gate.

04

Revenue memory across cycles

Outcomes, approved actions, logged interactions, and relationship history persist across deal cycles — so future actions are informed by institutional memory, not starting from zero.

Built for teams where relationships close deals.

Designed for B2B organisations where trust, timing, and context determine whether outreach lands — not volume and automation.

Travel & DMC operators

Managing relationships with outbound agencies across India, GCC, and Eastern Europe. Track which partners are warm, which events matter, and which introductions to make.

MICE and events sales

Converting trade show connections and event relationships into booked business. Link event attendance to account intelligence and warm follow-up timing.

Inbound tourism B2B

Growing a partner network across geography, season, and market. Know which partners are active, which are going cold, and who is worth re-engaging now.

Business development leads

Managing a pipeline of partner relationships across long sales cycles where timing and context determine whether outreach lands.

Partner-driven founders

In companies where every deal depends on trust and relationship history, ARIOS becomes the institutional memory for business development.

A technology company solving a global B2B intelligence problem.

ARIOS is developed and managed by Pangratis AI, a technology company based in Georgia. Georgia's inbound tourism industry is a significant and growing commercial sector — Georgian DMCs, MICE operators, and travel companies compete for business from India, GCC, and Eastern Europe daily. ARIOS was designed with these operators as the first users, but the problem it solves extends far beyond any single geography or vertical.

Export-ready product

ARIOS is built for global use. The first target markets — India, GCC, and Eastern Europe — are active Georgian tourism source markets and globally relevant B2B relationship verticals.

AI with accountability

ARIOS applies applied AI engineering to a commercially validated problem with a human-in-the-loop design that aligns with responsible AI principles. Every action is evidence-grounded and human-approved.

Scalable beyond travel

The relationship intelligence infrastructure ARIOS is building is vertical-agnostic. Travel is the entry point. Professional services, events, and regional trade are the expansion path.

Partner-driven B2B is a category, not a niche.

Relationship intelligence and GTM execution infrastructure applies wherever B2B deals are closed through trust, timing, and context rather than volume and automation. Travel and DMC is the first vertical. ARIOS is designed to serve any team where the relationship is the product — from events and hospitality to professional services, regional trade, and cross-border B2B markets. As the system learns from more accounts, contacts, events, and actions, its intelligence layer compounds. The revenue memory built across accounts becomes a durable competitive advantage for every team that uses it.

Ready to turn your relationships into revenue actions?

ARIOS is in early access. We are working with a small number of travel, DMC, MICE, and partner-driven B2B teams to refine the product before wider release.