Dr. Evelyn Reed
SimulateGrounded consumer-response simulation guided by qualitative research methodology.
“What are people really feeling, and why?”
Consumer Session SummaryView Report
Multimodal research intelligence platform
Turn scattered research into a governed Research Base.
THEUS turns proprietary studies into traceable evidence your team can explore, compare, and pressure-test before commissioning new fieldwork.
20-30facts per page
Pageprovenance
24hauto-deletion
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
Research Base, Explore, Simulate.
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.
Dr. Theodore Sinclair
ExploreCross-study synthesis, contradiction detection, research gaps, and publication-ready visualizations.
“Where are the gaps? What contradicts what? What should we test next?”
Protein Growth Drivers InfographicView Report
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Simulate
Grounded consumer-response testing
Guided by 20+ years of qualitative research expertise.
Explore
Presentation-ready visualizations
AI-generated whiteboard schematics from your Research Base, created in about 20 seconds.
Why teams switch
Stop paying for the same insight twice.
Your team has run hundreds of studies. The answers are already in your data. THEUS makes them findable.
Governed Research Base
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.
Explore Before You Re-Spend
Before commissioning another $200K study, check what you already know. THEUS finds gaps in existing research and tells you where the contradictions are.
Simulate With Evidence
Simulate how consumers might react to an untested concept. Every simulated response traces back to your actual research with Fact IDs and page numbers.
Research Base format
Charts, tables, and documents become evidence you can audit.
The 4-stage multimodal pipeline (Normalize → Visual Understanding → Extract → Validate) converts research archives into atomic facts with full statistical context.
Fact IDs
Each extracted insight is stored with a persistent Fact ID, atomic granularity, and Statistical Context for direct auditability.
Charts Become Evidence
Visuals are interpreted, measured, and converted into searchable facts with Statistical Context, replacing paraphrased summaries.
Full Statistical Context
Every atomic fact includes p-values, confidence intervals, effect sizes, sample sizes, and test names. Verifiable data you can cite and defend.
Audit-ready by design
Built for regulated environments.
Every insight links to its source page. Every claim can be audited back to the original document and page number.
Zero Persistence
Data lives in Volatile Memory (RAM) only. Simulation data is auto-deleted after 24 hours. Avatars after 72 hours.
Research Base Format
4-stage multimodal pipeline (Normalize -> Visual Understanding -> Extract -> Validate) intelligently extracts the facts that matter, with full statistical context.
Isolation
Tab-Scoped Context. Run multiple distinct projects in parallel tabs without data cross-contamination.
No Training
Your proprietary research data is NEVER used to train our models.
The question every VP is asking
“Why can't we just use Copilot?”
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.
20-30 atomic facts per page, each with a Fact ID you can verify.
Cross-study contradiction detection that generic AI cannot do.
How they compare
| 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.
Built by industry experts
Domain expertise meets current AI.
THEUS is built by Aigora, which has worked with Fortune 500 sensory and consumer science teams since 2019.
Dr. John Ennis
Founder & President, Aigora
- 30+ years in sensory and consumer science.
- PhD in Mathematics; postdoctoral research in computational neuroscience.
- 50+ peer-reviewed articles and 2 published books.
- “Researcher of the Future” award winner (2013).
Powered by Aigora
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.
- Trusted by Fortune 500 companies since 2019.
- Purpose-built for consumer insights teams.
- Domain expertise encoded into every feature.
Enterprise security
Built for enterprise trust.
- SOC 2 Type II compliant infrastructure.
- Your data is never used to train AI models.
- 24-hour unsaved-session deletion.
- OAuth-only authentication (Google, Microsoft).
- GDPR and CCPA compliant.
Next step
The answer to your next study might already exist.
See what THEUS finds in your existing research before you spend on new fieldwork.