Alpha Quantum ALPHA QUANTUM
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Website Categorization API AI Tools Blocklist AI Agent Allowlist URL Categorization Database Product Categorization API PII Detection & Anonymization Resume Reader API
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Delivering enterprise software since 2007

19 Years of Enterprise
Innovation

From quantitative finance to AI data platforms, Alpha Quantum has spent 19 years building the classification infrastructure that enterprises rely on to understand, filter, govern and protect digital content at scale.

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Years in businessFounded 2007 · Munich, Germany
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Years in business
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Domains classified
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Organizations
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AI data platforms
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Classification engines
99.9%
Uptime SLA
Our mission

Turning unstructured data into structured decisions

Alpha Quantum was founded on a simple observation: the internet generates more data every day than any manual process can classify, and yet classification is the prerequisite for nearly everything enterprises need to do with that data.

Our focus

One engine, massive scale

Every platform we build draws from the same underlying classification infrastructure, which means improvements to the core engine benefit every product simultaneously.

This architecture lets a small team serve the data needs of organizations that include tier-1 telecom carriers, global media conglomerates, cybersecurity corporations, defense industry companies, and some of the largest digital marketplaces in the world.

Our corpus

120 million domains and growing

We set out to build a classification engine comprehensive enough to cover the full active internet, not just the popular sites, but the long tail that generic providers ignore.

Today, our corpus covers 120 million domains, classified across multiple taxonomies simultaneously and refreshed daily with 300,000 newly registered domains.

Our journey

19 years of enterprise software

From quantitative finance to the classification infrastructure of the AI era.

2007 — founded

Quantitative finance

Alpha Quantum founded as an enterprise software company building portfolio optimisation, risk management, and security analysis tools for asset managers and hedge funds.

2008 — quantamental

Quantamental platform

Financial analysis, valuation and ranking platform with DCF models, z-score rankings, backtesting and automated reporting for mutual funds, hedge funds and wealth managers.

2010 — portfolio optimiser

Portfolio optimisation

Mean-variance, CVaR and multiperiod optimisation with efficient frontiers, correlation cleaning, backtesting and automated factsheet generation.

2012 — risk management

Risk management suite

VaR and CVaR across historical, parametric and Monte Carlo methods, stress testing, risk attribution and pre-trade compliance for institutional clients.

2021 — data platforms era

Full-spectrum data platforms

AI-driven classification at enterprise scale. Website Categorization API, URL databases, Product Categorization API and privacy engine deployed. First tier-1 telecom carriers onboarded.

2022 — expansion

Full-spectrum data platforms

120 million domains classified. Privacy engine and document intelligence engine added. 300+ organizations now depend on Alpha Quantum platforms in production.

2025 — the agent era

AI tool governance and agent policy

AI Tools Blocklist launched: 20,183+ AI-tool domains with four risk flags. AI Agent Allowlist built: 40 million domains with 28 verified page types each. Seven platforms, four engines, one company.

Architecture

Four engines behind seven platforms

These are separate systems with separate data. One classifies the web, one classifies products, one finds and removes sensitive data, one reads documents. Each platform runs on the engine built for it.

Web classification engine

120M domains · 700+ categories

The domain corpus behind website categorization, the offline database, the AI block list and the AI agent allow list.

WCAPIURL DBATBAAL

Product classification engine

5,574 categories · 200+ languages

Maps free-text listings to Google Shopping, Shopify, Amazon and IAB taxonomies.

Product API

Privacy engine

70+ data types · 50+ languages

Context-aware detection and anonymization of PII and PHI in text, documents, images and video.

Anonymization API

Document engine

114+ fields · 8+ file types

Turns resumes into structured JSON with normalized titles, skills and locations.

Resume Reader API
feeds data to
Website Categorization API
AI Tools Blocklist
AI Agent Allowlist
URL Categorization Database
Product Categorization API
Anonymization API
Resume Reader API
Our platforms

Seven platforms, one classification engine

Every Alpha Quantum platform is powered by the same underlying intelligence, a continuously refreshed corpus of 120 million classified domains.

Website Categorization API

Real-time URL classification across IAB v2, IAB v3, IPTC and web-filtering taxonomies. 15+ data fields per request.

Domains
120M
Categories
700+
Explore

AI Tools Blocklist

20,183+ AI-tool domains in 18 categories with four risk flags per row. Daily updates.

AI-tool domains
20K+
Risk flags
4
AI block list

AI Agent Allowlist

40M+ domains with 28 verified page types each. The policy data layer for agent guardrails.

Domains
40M+
Page types
28
AI agent allow list

URL Categorization Database

120M+ domains classified by IAB and web-filtering taxonomies. Offline files for firewalls, DNS filters, proxies.

Domains
120M+
Formats
7
Explore

Product Categorization API

AI product classification for Google Shopping, Shopify, Amazon and IAB taxonomies. 200+ languages.

Categories
5,574
Languages
200+
Explore

Anonymization API

Discover and anonymize PII, PHI and sensitive data in text, documents, images and video. Built for GDPR.

Data types
70+
Languages
50+
Explore

Resume Reader API

Parse any resume into structured JSON: 114+ candidate fields from PDF, DOCX, TXT and scanned documents via OCR.

Fields
114+
File types
8+
Explore
Since 2007

Where it all began: quantitative finance

Before AI data platforms, Alpha Quantum built quantitative software for the financial industry: portfolio optimisation, risk management, security analysis and news analytics. The same engineering discipline now runs our data platforms.

quantitative finance · 2008

Quantamental

Financial analysis, valuation and ranking of companies with DCF models, z-score rankings, backtesting of quantitative strategies and automated reporting.

View product presentation (PDF)
quantitative finance · 2010

Portfolio Optimiser

Mean-variance, CVaR and multiperiod optimisation with efficient frontiers, correlation cleaning, backtesting over parameter grids and automated factsheet generation.

View product presentation (PDF)
quantitative finance · 2012

Risk Management

VaR and CVaR across historical, parametric and Monte Carlo methods, stress testing with historical and custom scenarios, risk attribution and pre-trade compliance.

View product presentation (PDF)
How we build

Our engineering principles

01

Depth over breadth

We classify the full active internet, not just the popular sites. Our 120 million-domain corpus covers the long tail where brand-safety incidents happen and agents wander.

02

One engine, many products

Every platform draws from the same infrastructure. An improvement to the classification core immediately benefits every product simultaneously.

03

Test before you buy

Every product offers a free demo to test full functionality. Database products include free sample downloads. Live demos run against production models with your own data.

04

Your infrastructure, your formats

We deliver data in every format enterprise infrastructure consumes: REST API, CSV, JSON, SQLite, DNS RPZ, PAC files, EDL feeds and hosts files.

05

Always current

The web corpus takes in new domains every day, the AI block list refreshes daily, the agent allow list quarterly. Stale data is worse than no data.

06

Privacy by design

We classify publicly available web content and do not collect, store or process user-level browsing data. API traffic is encrypted in transit and query data is not retained.

Work with us

Whether you need a single API integration or an enterprise-wide data partnership, we would like to hear from you.

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