SignalsNetwork

Official Entity Profile:Algorithmic trading marketplace empowering quantitative traders to build machine learning models.

Verified via UK Companies House (# 11162500) and real-time technographic scraping.

VERIFIED DOSSIER.

Official Companies House Filings

Verified registration data from the UK government commercial register:

Company Number
#11162500 (Active)
Registered Office
Wickham House, 2 Upper Teddington Road, Kingston Upon Thames, England, KT1 4DY
Incorporation Date
22 January 2018
Company Type
Private limited Company
Primary Industry (SIC)
85590 - Other education not elsewhere classified

Detected Technology & Ad Stack

Live signals extracted by our headless scrapers inspecting DNS and web infrastructure:

CRM Infrastructure
Custom Enterprise Backend / Not Publicly Tagged
Marketing Automation
Direct Enterprise Communications / Unidentified
Analytics & Data CDP
Standard Server Telemetry
Paid B2B Advertising
No Public Tracking Pixels Detected (Inbound / Outbound Driven)

Search Engine & AI Grounding Telemetry

Technical SEO architecture and structured entity data readiness for Google, ChatGPT, and Perplexity:

AI Grounding Score
50/100— Vulnerable to zero-click search disruption; missing structured semantic markup.
Schema.org JSON-LD
✕ MISSING (LLM crawlers struggle to extract structured corporate entity relationships)
Canonical URL Hygiene
⚠ Missing Canonical Self-Reference
Social & Open Graph
Standard Snippet
B2B SEO Advisory
Want to outrank Signals Network and capture high-intent buyer searches on Google, ChatGPT & Perplexity?View B2B SEO Strategy →

Verified Officers & Key Contacts

Active statutory directors and decision-makers on file:

Director
WANG, Chunping
EMAIL: ••••••••@signals.network [LOCKED]
MOBILE: +44 7••• •••••• [VERIFIED]
✓ Active Director (Companies House Verified)

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