Knowledge Graph

Your Dealton Knows
Everything.

Every email, call, meeting, document, and web interaction is absorbed into a living knowledge graph — a deeply connected map of every client, every relationship, and every deal.

Your Dealton isn't just a ChatGPT wrapper. It learns from every interaction across your entire sales cycle — connecting a passing mention in a call three months ago to the proposal you're writing today.

Data Sources

Every interaction feeds the graph.

Your Dealton doesn't ask you to enter data. It watches and learns from the tools you already use — automatically, continuously, and without any manual input.

Email

Every sent and received email is parsed for context — who said what, when, and what it means for the deal. Thread history, tone, and follow-up patterns are all captured.

Calls & Meetings

Full transcripts from every call are speaker-tagged, summarized, and integrated. Action items, decisions, and commitments are extracted automatically.

Documents

Proposals, pitch decks, contracts, and strategy documents are indexed and linked to the clients and deals they relate to.

Web Research

Automated research on each prospect and client — company news, leadership changes, funding rounds, and competitive moves are tracked and connected to the relationship context.

Calendar

Meeting attendees, scheduling patterns, and no-shows are tracked. Calendar signals reveal who's engaged and who's going cold.

Intent Signals

Google News monitoring surfaces funding announcements, leadership changes, facility openings, and industry shifts — connected to the right client at the right time.

Relationship Mapping

Know who matters in every deal.

Traditional CRMs store contacts. Your Dealton maps relationships — who influences whom, who blocks decisions, and who champions your product internally.

Automatically identifies stakeholders from email threads and call transcripts
Detects decision-makers, champions, and blockers from conversation patterns
Maps reporting lines and internal dynamics without you ever updating a field
Tracks engagement depth per contact — thread count, response rates, meeting attendance
Surfaces hidden influencers who appear in CC lines and forwarded threads

Meridian Resources — Stakeholder Map

Sarah Chen, VP Engineering Champion

Michael Torres, CTO Decision Maker

Rachel Bennett, Head of Data Evaluator

James Liu, Procurement Gatekeeper

Anna Kowalski, CFO Budget Authority

Last interaction: 2 days ago (email from Sarah)
Deal score: 72/100 — Active Deal
Next follow-up: Thursday (budget review meeting)

Total Recall

Full memory of every interaction.

Your Dealton doesn't forget. Every email, call, document, and meeting is indexed and connected — so the right context surfaces at the right moment, automatically.

Surfaces relevant prior context when drafting emails — what was discussed, what was promised, what's pending
During live calls, recalls details from months-old conversations that the prospect mentioned once
Connects dots across interactions — a budget concern raised in Q1 linked to a pricing discussion in Q3
Eliminates the "let me check on that" delay — your Dealton already knows
Builds a rolling narrative for each client that captures the full arc of the relationship, not just the last touchpoint

Context surfaced during email draft

3 months ago — Call transcript: Sarah mentioned budget cycle resets in October, prefers Q4 pilots

6 weeks ago — Email thread: Michael asked about on-prem deployment options, concerned about data residency

2 weeks ago — Meeting notes: Team evaluated competitor product, found it lacking in real-time capabilities

Yesterday — Inbound email from Rachel requesting updated pricing for 15-seat deployment

Org Intelligence

Understand the company, not just the contact.

Sales don't happen in isolation. Your Dealton maps the organizational landscape — reporting structures, internal politics, and buying processes — from natural conversation signals.

Extracts org structure from email signatures, LinkedIn data, and conversation context
Detects internal alignment or misalignment between stakeholders based on communication patterns
Identifies when new stakeholders enter the conversation — and what their role likely is
Tracks company-level signals: headcount growth, new offices, product launches, M&A activity
Maintains a living company profile that evolves with every interaction, not a static record from initial import

Company Intelligence — Meridian Resources

Industry: Enterprise SaaS | Size: 200-500 employees

Buying process: Technical eval → Security review → Procurement → CFO sign-off

Budget cycle: Fiscal year starts October. New budget requests due August.

Recent news: Series C ($45M) announced March 2026. Expanding APAC operations.

Risk flag: Procurement (James) has gone silent for 10 days after initial positive response.

Deal Scoring

Know which deals to prioritize.

Your Dealton scores every deal using a hybrid approach — combining hard signals like response recency, email open rates, and meeting frequency with AI analysis of relationship depth, buying intent, and competitive positioning.

Rule-based scoring weighs pipeline stage, engagement frequency, inbound responses, and follow-up timeliness
AI scoring analyzes the narrative arc — tone shifts, increasing urgency, stakeholder expansion
Scores update automatically after every interaction — no manual stage-dragging
Clear reasoning for every score — you always know why a deal is hot or cooling
Surfaces stale deals before they die — catches the deals going cold while you're focused elsewhere

Deal Score Breakdown — Meridian Resources

Overall Score: 72 / 100 — Active Deal

Stage: Technical Evaluation (+35) | Inbound reply: Yes (+10)

Recency: Active this week (+0 penalty) | Follow-up: On track (+0)

AI assessment (+27): Multiple stakeholders engaged, budget confirmed, timeline discussed. Champion (Sarah) actively driving internal alignment.

Watch: Procurement contact silent 10 days — may need champion to re-engage internally.

Why It Matters

Your CRM is a graveyard of stale data.
Your knowledge graph is alive.

Traditional CRM

✗ Relies on reps manually logging every interaction
✗ Data decays within days of entry
✗ Flat contact records with no relationship context
✗ Pipeline stages updated by gut feel
✗ Context lost when reps leave or deals get reassigned
✗ Searching for what was said in a meeting last quarter? Good luck.

Dealton Knowledge Graph

✓ Automatically ingests from email, calls, calendar, and web
✓ Continuously updated — always reflects the current state
✓ Maps relationships, influence, and org dynamics
✓ Deal scores driven by real engagement signals
✓ Full institutional memory that survives team changes
✓ Every conversation, email, and document at instant recall

Your Dealton KnowsEverything.