
Multimodal research intelligence platform
THEUS turns proprietary studies into traceable evidence your team can explore, compare, and pressure-test before commissioning new fieldwork.
The product story
Upload studies once, keep page-level provenance, then move from a governed Research Base into analytical exploration or grounded simulation without rebuilding context each time.
01 Research Base
Normalize raw study material into traceable facts with methodology context.
02 Explore
Ask analytical questions and surface contradictions, gaps, and evidence-backed patterns.
03 Simulate
Pressure-test future concepts against the same governed evidence layer.
Product proof
Upload your studies once. THEUS extracts the facts, preserves the citations, and gives you two ways to use them: Explore patterns with Dr. Sinclair, or Simulate consumer reactions with Dr. Reed.
Your studies, converted to atomic facts with page-level citations.

Simulate with Dr. Reed
Use the Research Base to simulate grounded consumer reactions, pressure-test concepts, and learn before expensive fieldwork.
“What are people really feeling, and why?”

Explore with Dr. Sinclair
Explore patterns across studies, detect contradictions, identify research gaps, and generate publication-ready visualizations with fact-level citations.
“Where are the gaps? What contradicts what? What should we test next?”
One Research Base powers two downstream workflows: Simulate with Dr. Reed or Explore with Dr. Sinclair.

Grounded consumer-response simulation guided by 20+ years of qualitative research expertise.

AI-generated whiteboard schematics from your Research Base. Presentation-ready in about 20 seconds.
Your team has run hundreds of studies. The answers are already in your data. THEUS makes them findable.

Your research library is scattered across PDFs and PowerPoints that nobody reads twice. THEUS converts those files into a searchable Research Base where every fact has a page-level citation.

Before commissioning another $200K study, check what you already know. THEUS finds gaps in existing research and tells you where the contradictions are.

Simulate how consumers might react to an untested concept. Every simulated response traces back to your actual research with Fact IDs and page numbers.
The 4-stage multimodal pipeline (Normalize → Visual Understanding → Extract → Validate) converts research archives into atomic facts with full statistical context.
Each extracted insight is stored with a persistent Fact ID, atomic granularity, and Statistical Context for direct auditability.
Visuals are interpreted, measured, and converted into searchable facts with Statistical Context, replacing paraphrased summaries.
Every atomic fact includes p-values, confidence intervals, effect sizes, sample sizes, and test names. Verifiable data you can cite and defend.
Every insight links to its source page. Every claim can be audited back to the original document and page number.
Data lives in Volatile Memory (RAM) only. Simulation data is auto-deleted after 24 hours. Avatars after 72 hours.
4-stage multimodal pipeline intelligently extracts the facts that matter, with full statistical context.
Tab-Scoped Context. Run multiple distinct projects in parallel tabs without data cross-contamination.
Your proprietary research data is NEVER used to train our models.
Every company has Copilot. It finds documents. It summarizes them. It does not know what a TDS curve is or why your JAR data contradicts last year's hedonic study. THEUS does, because it was built for your proprietary research, not generic enterprise search.
| Capability | Copilot | NotebookLM | THEUS |
|---|---|---|---|
| Email & doc integration | Yes | No | No |
| Document search | Yes | Yes | Yes |
| Fact-level extraction | No | No | Yes |
| Consumer simulation | No | No | Yes |
| Sensory science domain | No | No | Yes |
| Patterns across studies | No | Partial | Yes |
Copilot finds documents. THEUS extracts facts and simulates reactions.
THEUS is built by Aigora, which has worked with Fortune 500 sensory and consumer science teams since 2019.

Founder & President, Aigora

Enterprise-grade research infrastructure
Aigora has been building AI tools for sensory and consumer science since 2019. THEUS is the same methodology, now available as software your whole team can use.

Next step
See what THEUS finds in your existing research before you spend on new fieldwork.