Salesgluon
Intelligence · DataIntent Intelligence

Campaign-ready prospects. Not raw lists.

Verified contact universes, role-validated decision-makers, and real-time intent signals — shipped to your team as CSV, CRM-direct push, or API. Built for outbound that converts. Not scraped, not stale, not GDPR-risky.

Book a strategy callRequest a sample

Verified. Intent-scored. Compliant. Sub-1% bounce.

0%Role-title accuracy
0+Intent signals tracked
0M+Records verified
Sample → Delivery
01 / 05
ICP SampleFree · 47 records
AccountRoleStatus
  • BrightFlowHead of Marketing
  • NorthwindVP RevOps
  • Atlas CloudCRO
Built to your ICP. Sign off before we scale.
Sourcing
Sales NavigatorApolloZoomInfoLushaRegistries
0candidates
Deduplicated against your CRM
Verification
Pass
  • ZeroBounce Verified
  • NeverBounce Verified
  • MillionVerifier Verified
0.6%
Bounce
96%
Role verified
Intent scoring
EM
Emma Davis · BrightFlow
Head of Marketing
Tier-1
Hiring SDRs Series-D · 1w MarTech shift
Tier-1 · High
Tier-2 · Warm
Tier-3 · Latent
Delivery Shipped
CSV
Google Sheets
HubSpot
Salesforce
API
Refresh: monthly · quarterly · signal-triggered.
ICP sampleBrightFlow ICP

Qualified meetings booked with decision-makers at

Microsoft
Google
ACWA Power
Coca-Cola
Samsung
FedEx
AIA Malaysia
Saudi Aramco
Siemens
Mastercard
Emirates NBD
Accor
ALDAR
Schneider Electric
Medtronic
Visa
Deloitte
Accenture
Johnson & Johnson
CHEP
Al-Futtaim
Allianz Malaysia
Dow
Alorica
Americana
Ansell
Apparel Group
Azizi Developments
Bilfinger
China Harbour Engineering Co.
DP World
China Railway Construction Co.
Daimler Truck Southern Africa
DAMAC Properties
DHL Express
dnata
Dis-Chem
Discovery Limited
Dorsett Hospitality International
DoubleTree by Hilton
Dubai Airport
Dubai World Trade Centre
Microsoft
Google
ACWA Power
Coca-Cola
Samsung
FedEx
AIA Malaysia
Saudi Aramco
Siemens
Mastercard
Emirates NBD
Accor
ALDAR
Schneider Electric
Medtronic
Visa
Deloitte
Accenture
Johnson & Johnson
CHEP
Al-Futtaim
Allianz Malaysia
Dow
Alorica
Americana
Ansell
Apparel Group
Azizi Developments
Bilfinger
China Harbour Engineering Co.
DP World
China Railway Construction Co.
Daimler Truck Southern Africa
DAMAC Properties
DHL Express
dnata
Dis-Chem
Discovery Limited
Dorsett Hospitality International
DoubleTree by Hilton
Dubai Airport
Dubai World Trade Centre
What you get

Every record, built for outreach. Verified before delivery.

Each prospect record ships campaign-ready across three layers — the company, the person, and the buying moment.

Company-level
  • Legal name, HQ, region, employee count, revenue band
  • Industry, sub-vertical, tech-stack indicators
  • Funding history, leadership changes, hiring activity
  • Website, LinkedIn URL, news signals
Contact-level
  • First name, last name, role title, seniority, function
  • Verified work email (multi-step validated)
  • Direct dial when available
  • LinkedIn profile URL · time zone · location · language
Intent signal layer
  • Active job postings tied to your ICP problem
  • Funding events, M&A activity, leadership moves
  • Technology adoption or migration signals
  • Engagement patterns from public sources
What a delivered record looks like
Verified
Company
NL
Northwind Labs
B2B SaaS · Austin, US
  • 240 employees · $40M Series B
  • Stack: Segment, Snowflake, HubSpot
Contact
MC
Maya Chen
VP Marketing · decision-maker
  • maya@northwind.io
  • +1 (512) ••• ••42
Intent signal
Tier-1intent 92 / 100
Hiring SDRsSeries BSegment adopted
Sub-1% bounce GDPR documented CCPA noted
Delivered as
CSV
Google Sheets
HubSpot
Salesforce
Pipedrive
API
What makes it different

Most lists are scraped. Ours are scored.

Buying a list from Apollo or ZoomInfo gets you contacts. It does not get you a buying moment. We layer signal data on top of verified contacts, so your team works the accounts that are actually moving — not the accounts that merely exist.

Verification

Multi-source cross-check, manual review on high-value accounts, sub-1% bounce on every email field.

Intent

Real-time triggers — hiring, funding, leadership change, tech-stack shift — attached at the record level and scored against your ICP problem.

Compliance

GDPR check on every EU record, CCPA notes on US records, and no grey-area sources. Ever.

Scraped listcontacts that merely exist
  • Contact · unknown roleno signal
  • Duplicate recordno signal
  • Role mismatch · unverifiedno signal
Scored universeaccounts that are moving
  • VP Marketing · hiringT1
  • Head of Growth · fundedT1
  • Director Ops · tech changeT2

The result: your AEs and SDRs spend their time on accounts that are about to buy — not accounts that might exist on a quarterly horizon.

Use cases

What teams actually do with the data.

One verified, intent-scored universe feeds every motion you run.

01

Cold email outreach

Verified emails with sub-1% bounce, segmented by ICP and intent score.

02

LinkedIn campaigns

Profile URLs, role and seniority data, signal-tagged for prioritisation.

03

Paid ABM + retargeting

Custom audiences for LinkedIn Ads, Meta, Google — built from your ICP, not lookalikes.

04

CRM enrichment

Refresh stale contacts, fill missing fields, deduplicate against your existing records.

05

AE / SDR prioritisation

Intent-ranked account lists so your team works the buying moments first.

06

Pipeline gap fills

When inbound goes quiet, drop in a fresh ICP cut and run.

How it works

Five stages. Built for accuracy, not volume.

No black boxes. Every list is built to a standard before it reaches your team.

  1. 01
    Days 1–2

    ICP Calibration

    • Map your ICP, buying committee, and exclusion criteria.
    • Pull a 40-to-50 record sample for your sign-off before scaling.
    • Confirm market size and feasibility before production.
  2. 02
    Days 3–5

    Sourcing

    • Pull from Sales Navigator, Apollo, ZoomInfo, Lusha, public registries.
    • Layer proprietary intent sources — job postings, funding, news triggers.
    • Deduplicate against your existing CRM where provided.
  3. 03
    Days 5–7

    Verification

    • Multi-step email verification via ZeroBounce, NeverBounce, MillionVerifier.
    • Role and title cross-checked against live LinkedIn data.
    • GDPR and CCPA review on every record; manual review on high-value.
  4. 04
    Days 7–10

    Intent Scoring

    • Attach signal triggers — hiring, funding, tech change, leadership move.
    • Score every account against your ICP problem statement.
    • Tag Tier-1 (high), Tier-2 (warm), Tier-3 (latent) for prioritisation.
  5. 05
    Day 10+

    Delivery + Refresh

    • Ship in your format: CSV, Google Sheets, CRM push, or API.
    • Set refresh cadence: monthly, quarterly, or signal-triggered.
    • Quality review with you, then iterate on the next batch.
Quality standard

Numbers we hold ourselves to.

A data product is only as good as the floor it refuses to sell below. Here is ours.

< 1%

Bounce rate on email fields

Records that fail validation are stripped before delivery — not before invoicing.

95%+

Role-title accuracy

Cross-checked against live LinkedIn at the moment of delivery.

100%

Compliant on every EU record

Lawful basis documented, source flagged. CCPA notes on every US record.

0

Purchased mega-databases

No “10-million-record” dumps. Every list is built fresh against your ICP.

30d

Refresh promise

Stale records replaced free for the first 30 days after delivery.

40–50

Sample before commit

Every engagement opens with a free sample built to your ICP, for your sign-off.

If a record fails the standard, it doesn't ship. If it ships and fails, we replace it.

Proven Performance

The pipeline is not a pilot. It is a record.

We do not experiment on your revenue. Every play in your campaign has already worked in a market close enough to yours to count.

Cumulative · last 84 monthsCompounding
0k+Engagements generated
201920222026
0+Qualified conversations
0K+Campaigns run
0+Years compounding
0dFrom kickoff to first message
6–10Days to first qualified meeting
0%Average KPI attainment across engagements
0dRe-engineer guarantee, or we keep working
Work

Engines built. Pipeline shipped.

Five campaigns. Five markets. One pattern: specific KPI results, not growth narratives.

See Our Work
Case 01 · Featured·Event Services · Awards·UAE · KSA · SG · MY
0%of KPI

An awards program for people-first companies needed a repeatable way to engage the right brand and HR decision-makers. The campaign compounded to 118 SQLs and 73 opportunities over the engagement period.

Full-Funnel Engineering

Qualified conversations · 12 weeks↗ Compound
W01 · 4 SQLW12 · 319 SQL
Case 02·B2B SaaS · Email Marketing
MY · SG
0%of KPI
0Engaged
0Qualified
0Opps

A growth-stage email marketing platform needed consistent demo conversations with CMOs, Marketing Ops leads, and CRM stakeholders. From 5 SQLs in week one to 113 SQLs and 71 opportunities. Driven by deliverability, migration support, and TCO messaging.

Full-Funnel Engineering

Case 03·Event Services · Real Estate
Global
0%of KPI
0Engaged
0Qualified
0Opps

A real-estate events provider needed a predictable stream of qualified conversations ahead of key dates, without adding headcount. Momentum compounded from 10 SQLs in the first two weeks to 230 SQLs and 55 opportunities.

Full-Funnel Engineering

Case 04·Business Consulting · Leadership
Global
0%of KPI
0Engaged
0Qualified
0Opps

A leadership advisory and training firm needed consistent senior-level conversations to fuel enterprise programs. Target hit with a 63% open rate, driven by ICP definition, relevance-first messaging, and credibility-led social proof.

Leadership Training

Case 05·Software Development · Web3
Global
0%of KPI
0Engaged
0Qualified
0Opps

A Web3-focused software house needed a steadier flow of qualified engineering and product conversations. Compounded to 83 SQLs and 41 opportunities by tightening ICP, sharpening use-case messaging.

B2B Services · Web3

What our partners say

Not our words. Theirs.

Featured · Partner letter
“The biggest impact has been the shift from scattered outreach to a structured, predictable pipeline. The quality of conversations improved significantly, not just the volume. Your understanding of personas and regional nuances really showed. The mid-funnel recovery approach was especially valuable. This felt less like a vendor engagement and more like building a system together.
Aruna
Aruna
Head of Sales and Client Strategy · Event Services
“
I can really recommend collaborating with Sabb. A very skilled project manager on our joint client outreach project. Highly responsive and anticipating my needs.
Dirk Burmann
Dirk Burmann
SVP Finance and Administration
“
Smooth and clear communication. The clarity by when something is going to be done — and being done. I could count on Sabb to do what he promised.
Andra Popa
Andra Popa
Founder and Leadership Coach
“
Clear and yet friendly in his communication within the team, which makes him an effective leader. He empowers innovation in B2B sales.
Christian Schreiber
Christian Schreiber
Principal
Who it's for

Built for teams who burned the last data vendor.

We are selective by design. A short honest read on fit saves both sides a quarter.

This works if
Strong fit6 signals
  • You bought a generic list and watched bounce rates kill the campaign.
  • Your CRM is full of stale, duplicated, or wrong-role records.
  • Your team needs intent-scored prospects, not raw exports.
  • You want lists built to your specific ICP — not a 10-million-record dump.
  • You can act on the data once it lands — a campaign motion or AE team ready.
  • You operate in B2B verticals where verified email and direct dial matter.
This isn't right if
Reconsider4 flags
  • You want millions of records at $0.005 a row (we are not that vendor).
  • Your ICP is consumer or mass-market with no decision-maker layer.
  • You want data with no compliance review and no quality floor.
  • You need lists in 24 hours (proper verification runs 7 to 10 days).

If any of these are you, we'll say so on the strategy call — before you sign anything.

FAQ · Before the call

Quick operator answers. Before you order data.

If your question is not here, book a strategy session and we will handle it live.

Book a strategy call

LinkedIn Sales Navigator, Apollo, ZoomInfo, Lusha, public registries, and proprietary signal feeds (job boards, funding databases, news triggers). Verification through ZeroBounce, NeverBounce, and MillionVerifier, plus manual review on high-value records.

Yes. We refresh stale records, fill missing fields, deduplicate against your existing data, and tag intent signals on records you already own.

Multi-step verification through three independent providers, plus role and seniority cross-check against live LinkedIn. Records that fail validation are stripped before delivery.

Rare — new companies, roles, and decision-makers emerge daily. If a tight ICP returns thin results, we offer three paths: re-engage non-responders from a prior list, expand title pools, or open adjacent sub-verticals. We flag the constraint before you commit.

CSV or Google Sheets by default. CRM direct push (HubSpot, Salesforce, Pipedrive) on request. API delivery for live integrations. Refresh cadence is configurable: monthly, quarterly, or signal-triggered.

Yes. Every EU record carries documented lawful basis; every US record carries CCPA notes. We never source from grey-area scrapers, password-protected databases, or breached datasets.

Under 1% on email fields at delivery. Records that bounce within 30 days are replaced free.

Per-list, per-record, or subscription. Pricing varies with volume, signal-layer depth, and refresh cadence. You get a custom quote on the strategy call.

Yes. Every engagement opens with a free 40-to-50 record sample built against your ICP, before any commercial commit.

Accepting Data Intelligence engagements · Q2 2026
0 open

Stop buying dead lists. Sample your ICP, decide after.

The sample is free and built to your ICP. The pipeline is real.

Request a sample Book a strategy call

The pipeline is real or it is nothing.