Knowledge & AI Systems

Gestalt Research Engine

Systematic market research that doesn't give opinions — it finds patterns.

AI-pipeline-powered research that systematically collects, analyzes, and reveals not just what it found — but also where it didn't look.

How Does It Work?

Six steps that turn a question into evidence-based research output.

01

Research Spec

Structuring the research question: competency questions, sources, methodology. Not "look into it" — a systematic plan.

02

Source Collection

Web, academic sources, internal RAG corpus — multi-layer collection. Not a single Google search — systematic, reproducible data gathering.

03

Pattern Recognition

Gestalt classification: what is figure (essence), what is background (context), what is noise? Data becomes patterns.

04

Blind Spot Audit

Adversarial round: where we didn't look, what we didn't search for, what we didn't want to find. The strongest step in the research.

05

Convergence

Are patterns stable? Do multiple sources point to the same place? If not, another round — until the picture holds together.

06

Deliverables

Executive Brief + Field Report + Evidence Pack. Not PowerPoint — evidence-based, source-backed research output.

Who Is It For?

Strategy Teams

Internal research support for decision-makers. Before making strategic decisions, have an evidence-based picture on the table.

Market Research Firms

White-label or collaboration. The GRE pipeline complements traditional market research methodology.

Startups

Market validation. Before you build, know whether the market exists — and if so, what it really looks like.

Packages

Trial Research

1 research question, limited scope. Ideal for getting to know the methodology and output quality.

  • 1 research question
  • Executive Brief
  • 3-5 patterns
  • Evidence pack (limited)

Project Research

Full research cycle: spec → collection → analysis → blind spot audit → deliverables. The full power of GRE.

  • 3-5 research questions
  • Multi-round analysis
  • Blind spot audit
  • Executive Brief + Field Report
  • Full evidence pack

Monthly Retainer

Continuous research support. Monthly research capacity, priority access, iterative research cycles.

  • Monthly research capacity
  • Priority access
  • Iterative research cycles
  • Monthly report + consultation

Frequently Asked Questions

What's the difference between GRE and traditional market research?
Traditional market research is typically survey-based (primary) or Google-search-based (secondary, shallow). GRE is systematic: it collects with an AI pipeline, works from multiple source layers (web, academic, RAG corpus), and doesn't give opinions — it finds patterns, backed by sources.
Why "Gestalt"?
From Gestalt psychology: figure (essence) / background (context) / noise classification. Every data point gets categorized — not everything is equally important. This is what most searches miss: they don't filter, they just collect.
What is a blind spot audit?
The adversarial round that intentionally searches for what the research didn't look at. It doesn't seek counter-opinions — it seeks the areas we didn't examine. The most valuable part of research is often what we didn't find.
What topics do you cover?
Any market research, strategic, or industry question. Past topics: AI search optimization, domain registration trends, zero-click search effects, industry positioning. The pipeline is topic-agnostic.
How long does a research take?
Trial research: 3-5 business days. Project research: 2-4 weeks (depending on scope and complexity). In the retainer model, capacity is continuous.

Trial Research: 1 Question, Evidence-Based Answer

Pick a research question — and see what the pipeline finds.

Start a Trial Research