Intelligence architecture

Nineteen engines. One mind.

Each engine is a specialist with its own sources and its own way of reading a signal. They all run in parallel and converge into a single decision.

01

Global Science

Research that will reshape the world in 3–7 years.

Big Data
02

Technology & AI

Technologies being adopted before the crowd.

Big Data
03

Capital & Investment

Where smart money is flowing.

Big Data
04

Cultural Anthropology

Human behavior before it becomes a market.

Big Data
05

Geopolitics & Macro

The forces moving the global board.

Big Data
06

Companies & People

Moves that foreshadow M&A and growth.

Big Data
07

Patents & IP

What gets invented before the world knows.

Big Data
08

Regulatory

Rules that create billion-dollar markets.

Big Data
09

Multilingual Media

Signals that surface in other languages first.

Big Data
10

Marketing & Media

Where the smartest brands place their money.

Big Data
11

Tourism & Travel

Destinations exploding before the boom.

Big Data
12

Retail & E-Commerce

Consumer demand before the earnings reports.

Big Data
13

Risk & Commodities

The nervous system of the real economy.

Big Data
14

Supply Chain

Logistics disruptions before they make news.

Big Data
15

Labor Market

Talent and skills emerging or going obsolete.

Big Data
16

Legal & Judicial

Rulings that rewrite entire industries.

Big Data
17

Social Intelligence

The real sentiment of audiences, live.

Big Data
18

Radio Intelligence

What’s heard in cities the internet can’t see.

Big Data
19

Thick Data Intelligence

The human why behind every number.

Thick Data
Engine 19 · Thick Data

What is measurable is not the same as what is valuable.

Big Data tells you a market grew. Thick Data tells you why people buy, what they fear, and what would make them switch brands. That is the difference between a prediction that fails and one that lands.

Big Data — the WHAT Thick Data — the WHY
The ad’s CTR is 2.3%. People don’t trust brands that don’t show family.
Real estate grew 12%. No one buys without consulting the extended family; it takes months.
Fintech grew 340%. With no physical office to see, there is no trust to deposit.

Thick Data concept — Tricia Wang

Data architecture

The whole internet, every social platform, 60,000 stations and 70 official APIs — read at once.

CrowMind doesn’t query sources: it listens to all of them, all the time, in 100+ languages. Five input layers feed the 19 engines in parallel.

Layer 1

Open web

News, blogs, forums, papers, job boards and code in 50+ languages.

50,000+ sources every 15–60 min
Layer 2

Semi-public

Glassdoor, Trustpilot, G2, app stores, patents, court records, real estate.

deep archive every 6–24 h
Layer 3

Commercial

SimilarWeb, SEMrush, Crunchbase, sales data and market intelligence.

APIs + scraping daily
Layer 4

Real time

Commodities, mass job postings, tenders, imports, newly registered domains.

live signals hourly
Layer 5

Audio / Video

60,000+ radio stations and TV channels transcribed to text with Whisper.

99 languages every 15–30 min
Social platforms15+ in real time
Global radio60,000+ stations transcribed
Official data70+ APIs: IMF, World Bank, FRED, NASA
Translation100+ languages via DeepL
Memory & continuous learning

The moat isn’t the code. It’s the memory it accumulates every day.

Code can be copied. The memory CrowMind accumulates — what it predicted, what happened, which source was right — cannot. Six memory layers make the system more accurate every day it runs.

Operational

Milliseconds
Redis

Active signals 24–72 h, real-time alerts and scores.

Episodic

Seconds
Supabase

Every detected signal and what happened next in the real world.

Semantic

Seconds
pgvector

Knowledge in vectors. Relationships between concepts and markets.

Relational

Milliseconds
Neo4j

Graph of connections between signals, countries, industries and people.

Agent

Seconds
Zep Cloud

What each agent analyzed, got right and got wrong. Tunes its reasoning.

World

Seconds
Persistent brain

People, companies, deals and patterns. Never resets.

Target accuracy curve — the design improves with every verified prediction
Month 1
60%
Month 12
85%
Year 3
92%
Year 5
95%+
The product · 13 screens

An intelligence control room for making decisions.

All the system’s intelligence converges into a 13-screen dashboard — from the global heat map to the War Room that activates only on the most urgent opportunities.

Analyst working with live market data
01

Mission Control

Global heat map, daily CrowMind Score and the top active alerts.

02

Signal Feed

Real-time stream from all 19 engines, filterable by industry and geography.

03

Risk HeatMap

World map colored by country risk, with active hot spots.

04

Saturation Radar

Saturation index by industry: what is saturated vs emerging.

05

Opportunity Pipeline

Kanban: Detect → Validate → Build → Capitalize.

06

War Room

Activates only at Score 800+. Emergency screen with an opportunity-window timer.

07

Regional Intelligence

Six scores per country and direct market-to-market comparison.

08

Convergence Map

Visual graph of how signals connect across domains.

09

Founder Intelligence

Database of founders, VCs, talent moves and deal flow.

10

Future Scenarios

Three worlds per opportunity: optimistic, probable and disruptive.

11

Pitch Engine

One-page brief, deck and investor memo in one click, exportable to PDF.

12

Score History

Evolution of scores over time: what improved and what worsened.

13

M&A Scanner

Acquisition or partnership candidates matched to your criteria.

See the engines working on your decision.