About Theia · founded 2021

We built the intelligence layer we couldn't buy.

Theia exists because the existing market research stack — surveys, panels, social listening, SEO tools — collectively answers one quarter of the question consumer brands actually need answered. We built the integrated layer that answers the other three quarters.

Origin.

Theia started in 2021 as a freelance practice solving one specific problem: large consumer brands needed continuous, multi-market intelligence that synthesised search, perception, and sales — and nobody was selling it.

The early client work was for Canon EU, building a production intelligence engine across UK, DE, FR, IT covering 14,000 ASINs and 737,000 enriched snippets. That engine is still running, refreshed weekly, generating monthly L1-L4 strategy outputs.

From the Canon production deployment grew the methodology that now powers every Theia engagement: the four pillars, the L1-L4 strategy chain, the Fixed Entity Architecture, the native-language extraction with canonical harmonisation, the MCP-queryable repository.

In 2025 the same engine was extended to industrial / B2B markets via the Canon B2B deployment (US, DE, JP, KR) — a 9-stage pipeline covering 8,000+ classified deep-web sources, the kind of sources standard social listening tools have never crawled.

What we believe.

Search engines have already segmented every market.

Google, Amazon, YouTube run continuous, planetary-scale matching of queries to results. That matching IS market segmentation, refreshed every hour. Reading it beats inventing your own.

Continuous beats quarterly.

A research wave every three months discards 90% of the signal. The brands that adopted continuous monitoring in 2024-2025 are eating share invisibly from the ones still on waves.

Native extraction, then harmonise.

German reviews stay in German until the canonical mapping step. Translation-first pipelines collapse 80% of the signal. Multi-market intelligence is only credible when each market is read in its own language.

LLMs for extraction. Math for connections.

Features and sentiment need language understanding — that's an LLM job. Graph edges need cosine similarity and Leiden clustering — that's a math job. Mixing them gets you an unstable graph that breaks every quarter.

Who's behind it.

Pascal Moyon

Founder · CMO · Pipeline Architect

Pascal founded Theia after 15+ years leading AI-driven marketing at scale across consumer electronics, retail, and travel. Former senior marketing leadership at Canon Europe; deep expertise in continuous open-web intelligence, multilingual NLP pipelines, and AI-aware brand strategy.

He builds the engines and runs the strategy delivery. Most Theia engagements include a quarterly executive review with Pascal — that's the deal, and we don't hide it behind an account manager.

LinkedIn →

"Pascal turns noisy data into a clear roadmap. Razor-sharp mind — the kind of leader you want on the table when a strategy needs structure."

— Kamil Bartocha, via LinkedIn

By the numbers.

737K

Enriched snippets in production (Canon EU)

8,000+

Classified deep-web sources (Canon B2B)

11

Markets covered across active deployments

6

Languages with native extraction + harmonisation

Talk to us.

30-minute walkthrough on your category, your competitive set, your pillars-of-interest. No deck, no sales pitch — just the engine on your market.