6 B2B VERTICALS

One signal logic per industry.

No generic templates. Each vertical has its own engineering: which public signals we read, who we identify, and why you get there before your competition.

01

Logistics & International Trade

For freight forwarders, customs brokers and 3PLs.

Who it's for

Operators prospecting importers with FCL, LCL or air freight volume.

Typical profiles
Freight forwardersCustoms brokerage agencies3PLs and consolidatorsInternational trade brokers
Signals we read
  • Categories the importer sells → infers likely route
  • Expansion announcements, new warehouses
  • Job posts for foreign trade coordinator / analyst
  • Foreign trade team changes on LinkedIn
Unfair advantage

We cross-reference the prospect's catalog with the likely country of manufacture. A hardware retailer selling Chinese plumbing = FCL Guangzhou-Callao. We tell you before the first call.

In one line

Importers likely sourcing from China or USA West Coast.

Case

Green Andes Logistics is already running it.

02

B2B Tech · SaaS · IT

For software houses, MSPs, cybersecurity and cloud integrators.

Who it's for

Tech companies selling software or IT services to other businesses.

Typical profiles
Software factories / dev shopsCloud integrators (AWS / GCP / Azure)Cybersecurity firms and MSPsVertical B2B SaaSDigital transformation consultancies
Signals we read
  • Tech stack exposed on the website (frameworks, cloud)
  • Job posts for Dev / DevOps / Data
  • Published cases and partnerships with cloud providers
  • Announcements of new features or products
  • GitHub activity, recent domain registrations
Unfair advantage

We detect what tools the prospect uses today and what's missing. If you sell Datadog, the system flags companies with modern stack but no observability provider visible. If you sell cybersecurity, it flags those who hired a CISO less than 3 months ago.

In one line

Companies with visible stack and a specific gap you fill.

Case

MSP selling cloud management to SaaS that just raised a round.

03

B2B Fintech & Financial Services

For corporate lending, factoring, B2B payments and RegTech.

Who it's for

Fintech and financial services for businesses: lending, factoring, payments, RegTech, treasury.

Typical profiles
Digital factoringCorporate lending / working capitalB2B payments and commercial accountsRegTech / KYC / AMLCorporate treasury SaaS
Signals we read
  • Regulator announcements, bank partnerships, public rounds
  • Compliance / Risk / Head of Product hires
  • Sector events (Money 20/20, fintech associations)
  • Published cases with corporate clients
  • Regulatory changes = new demand window
Unfair advantage

We detect the exact moment: new regulation + company hires Compliance 6 weeks ago + no mention of your solution type on their site = open window. You get it before competitors.

In one line

Companies with fresh regulatory pain or detectable financial growth.

Case

Digital factoring prospecting importers that took working capital credit 2 weeks ago.

04

Industry & Manufacturing

For industrial suppliers, equipment, materials and maintenance.

Who it's for

B2B suppliers to industry: equipment, materials, machinery, maintenance, mining supplies.

Typical profiles
Industrial equipment suppliersPlant consumables and materialsHeavy machinery and OEM partsIndustrial maintenance servicesMining supplies and PPE
Signals we read
  • Public procurement contracts won
  • Plant expansion announcements, new production lines
  • Plant Manager / Maintenance / Supply Chain hires
  • Export registrations (ADEX)
  • Sector events (PERUMIN, EXPOMINA)
Unfair advantage

We cross-reference public procurement + export data + LinkedIn. If a plant just won a big contract (= will invest) or is changing Purchasing Manager (= supplier re-evaluation), you find out before they do.

In one line

Plants in investment moments, detectable via public contracts.

Case

Mining supplier detecting companies that won an Antamina contract and need supply ramp-up.

05

B2B Professional Services

For consulting, legal, audit, BPO and advisory.

Who it's for

Firms selling high-ticket services to mid-market and large companies.

Typical profiles
Corporate law firmsStrategy / operations consultanciesAudit and accounting firmsBack-office BPOsFinancial advisory / M&A
Signals we read
  • Published cases with corporate clients
  • Public procurement wins, announced M&A
  • New partner / senior leader hires
  • Thematic blog content (specialty)
  • Sector events and sponsorships
Unfair advantage

We detect companies in events that trigger demand for professional services: change of control, capital raise, international expansion, succession, public legal contingency. Cross-referenced with your firm's specialty = high-value pipeline.

In one line

Companies in typical professional services demand moments, mapped to your specialty.

Case

Law firm prospecting companies that announced M&A or expansion to a new country.

06

B2B Health & Healthtech

For medical devices, clinical software and pharma distributors.

Who it's for

Companies selling medical products or services to clinics, hospitals and pharma.

Typical profiles
Medical devices and hospital equipmentClinical software / EHR / telemedicinePharma and veterinary distributorsHospital and lab suppliesConsumer and B2B2C healthtech
Signals we read
  • Public health registries (RENIPRESS / DIGEMID / SUSALUD)
  • Hospital tenders (public and private)
  • Medical Director / Hospital Purchasing hires
  • New clinic announcements, network expansion
  • Academic publications and clinical guidelines
Unfair advantage

We cross-reference public health sector registries (dense and mandatory) with medical LinkedIn. Clinic opens new room = needs equipment. Hospital with open tender = identified buyer. Regulated sector = dense data = high score.

In one line

Clinics, hospitals and healthtech in detectable buying moments via public records.

Case

Imaging distributor detecting clinics that opened a diagnostic center in a regional city.

Is your vertical one of the 6?

Custom setup for your industry and first curated batch in 14 days.