Our four paradigms for using artificial intelligence technology

Problem

Traditional methods work like a “photograph” — a snapshot of a moment that is already outdated by the time of publication. Social processes are accelerating: a viral post shapes the agenda in 6 hours, faster than a week-long survey can capture.

What this product is

A continuous system for tracking the public field: classical sociology, AI monitoring of open sources, and adaptive online surveys. You don't extinguish the fire — you see the spark weeks before it ignites.

How it's implemented

• Parsing of 50+ sources and survey APIs
• LLM classification of tone and topics
• Detection of anomalies, bots, and coordinated campaigns
• 24/7 dashboard and alert system

Timelines and results

First results in 2 weeks. A full system in 3–4 weeks. Reputational risks reduced by 60–80%.

Problem

Every public decision is a leap into the unknown. Focus groups don't account for cascade effects and viral spread.

What this product is

Scenario modeling answers the question “What will happen if we do X?” before implementation. LLMs, multi-agent simulation, and a statistical ensemble produce probability corridors.

How it's implemented

• Amplitude, channels, and duration of the reaction
• Demographics of support and protest
• Cascade effects and “black swans”
• Preventive communication recommendations

Timelines and results

First forecast in 3 weeks. One scenario in 2–6 hours. Backtesting accuracy of 75–85%.

Problem

A representative survey takes 6–8 weeks and costs millions. Testing an unpopular reform on real people means risking real backlash.

What this product is

A synthetic population of thousands of calibrated AI agents. A “referendum” in 2 hours instead of 2 months — without the risks of field research.

How it's implemented

• Calibration on censuses, surveys, and WVS/ESS
• Up to 10 scenarios per business day
• Honest answers on sensitive topics
• Validation on data from 30+ countries and regions

Timelines and results

Sample ready in 3–4 weeks. Correlation with real surveys of 0.80–0.92. Up to 80% savings on pilot budgets.

Problem

An analyst reads 50 documents a week; the corpus contains millions. Conclusions are drawn from the 2% that was read.

What this product is

The system analyzes millions of documents in hours and delivers hidden narratives, connections, testable hypotheses, and reports with links to sources.

How it's implemented

• Full coverage of the corpus, not sampling “by eye”
• Knowledge graph, narratives, and contradictions
• Human-in-the-loop: AI proposes, the expert validates
• Reproducible methodology

Timelines and results

A typical project takes 2–6 weeks. Processing a million documents takes hours, not months.