
1Hunter
Finds companies that match your ICP.
Hands over 24 matching accounts (sample)

AI agents that research your market, surface buying signals with evidence, and explain every lead they bring you.
Leads scattered across tabs, CRMs and inboxes. Research that eats the afternoon. Signals nobody connects in time. Most prospecting is digging through this by hand.
Deal Diggers sends specialized agents through the noise, so your team starts where the evidence is.

Scattered leads
Data lives in too many places.
Slow research
Account research takes all afternoon.
Late follow-up
Good conversations go cold.
Weak signals
Hard to tell who is ready to buy.
Scattered leads
Data lives in too many places.
Slow research
Account research takes all afternoon.
Late follow-up
Good conversations go cold.
Weak signals
Hard to tell who is ready to buy.

Hiring
3 SDR roles posted
company careers page · 4 days ago
Expansion
New Riyadh office announced
press release · 2 weeks ago
Leadership
New VP Sales appointed
company news page · 9 days ago
Buying trigger
CRM replacement tender published
public tender portal · 6 days ago
Event
Exhibiting at a regional logistics expo
exhibitor list · 3 weeks ago
Growth
Headcount up across operations
public job listings · 1 month ago

Hiring
3 SDR roles posted
company careers page · 4 days ago
Expansion
New Riyadh office announced
press release · 2 weeks ago
Leadership
New VP Sales appointed
company news page · 9 days ago
Buying trigger
CRM replacement tender published
public tender portal · 6 days ago
Event
Exhibiting at a regional logistics expo
exhibitor list · 3 weeks ago
Growth
Headcount up across operations
public job listings · 1 month ago
Research agents surface hiring, growth and company events. Each one carries its source and its date, so every recommendation shows the evidence behind it.
Move your light across the rock.Scroll to sweep the light. Sample signals for Falcon Ridge Logistics.
One connected workflow, from what you sell to who should hear about it.

Capture what you sell: use cases, personas, differentiators, objections and proof points.
Product Intelligence Agent

Turn product knowledge into an explainable ideal customer profile, exclusions included.
ICP Strategist

Find matching accounts and the people who matter, with a source and a date on every fact.
Research Agent

Score fit with reasons, then draft the next best action for your approval.
Qualification and Outreach Agents

Reviewed feedback and real outcomes sharpen the next decision.
Sales Intelligence Agent
No mystery numbers. Each score is built from weighted evidence you can open, check and challenge.

Falcon Ridge Logistics
Freight and 3PL · Dubai · ~180 people
80/100
Next best action
Warm intro to the new VP Sales, referencing the Riyadh expansion. Draft ready for your approval.
Sample data. Fictional company, illustrative scoring model.
Agents hand one lead down the line, each adding evidence. Nothing customer-facing leaves without a person’s approval.

Finds companies that match your ICP.
Hands over 24 matching accounts (sample)

Builds company and people briefs, every fact cited.
Hands over 9 evidence-backed briefs

Scores fit, intent and timing, and explains why.
Hands over 4 priority leads

Drafts a personal first touch from the evidence.
Hands over 4 drafts for review
Drafts wait here. You review the evidence and the message, then pull the lever.
Pull to approve
Human approval is on by default.
Product knowledge, company intelligence, conversations and team feedback live in one shared layer. The lead your Hunter finds is the same lead every agent and every screen sees.
Learning is reviewed by people before it is adopted. Retrieval, not unsupervised retraining.
Every team drills the same shared intelligence. Each one comes up with the layer it needs most.
Find the right accounts, understand the buying committee, write a better first touch.
See why a lead matters, coach from evidence and keep pipeline quality honest.
Build sharper segments and target account lists, and hand sales real context.
Build a predictable pipeline without scaling headcount at the same rate.

Back to the surface, with the deal in hand.

Start with what you sell. Let specialized agents find who needs it, and show you why.
Approved APIs, authorized connectors and public sources that allow it. Every fact keeps its source link and the date it was last verified, and missing facts stay marked as unknown.
Not by default. Posts, DMs, invitations and first sends wait for a person to approve them. You decide what agents automate.
By a transparent weighted model: ICP fit, buyer fit, intent signals, timing, engagement and data confidence. You see the breakdown and the evidence, not a mystery number.
Local models handle most structured, repetitive work. Stronger cloud models are an exception for tasks that need them, under per-agent budgets and validation.
Deal Diggers is rolling out through focused pilots: one ICP, one workflow, one team. Ask for a demo to see what is ready today and what is planned.