THEUS turns decades of proprietary research into strategic infrastructure with traceable, explainable outputs designed for human review.
The demo runs live on your own data.
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THEUS is priced per deployment rather than per download. Scope depends on how much research you bring, how many people build on the Research Base versus read from it, and the governance and security your organization requires. Talk to us and we will size it with you.
Years of research trapped in PDFs nobody can search. New fieldwork that costs $50K+ and takes months. THEUS turns decades of proprietary data into traceable, decision-ready intelligence with AI-powered knowledge agents.
Two ways to explore: Generate new insights with Dr. Reed or analyze existing knowledge with Dr. Sinclair
Dr. Evelyn Reed and Dr. Theodore Sinclair are fictional personas. The film and interface scenes illustrate how THEUS works.
Join THEUS as a Founding Partner and turn your research function into strategic AI infrastructure. THEUS is used by consumer insights teams at several Fortune 500 companies.
See how THEUS uses your research, explore product examples, and review the offer and data safeguards.
Built on research methodology, THEUS creates data-grounded knowledge agents with bidirectional modeling for traceable knowledge exploration.
THEUS builds knowledge agents that retrieve from and are grounded in your institutional research, including surveys, panel results, and sensory profiles. Product and consumer knowledge stay connected for bidirectional insight. Client data is not used to train foundation models.
Cross-study synthesis, research gap analysis, hypothesis exploration, knowledge visualization, and institutional memory retrieval help teams examine their evidence before commissioning new work.
Supported outputs are designed to attach Fact IDs with page-level citations so teams can inspect sources. Pin insights, generate visualizations, and build evidence trails under human review. Outputs can still be incomplete or wrong.
Four steps from historical data to actionable insights
01
Ingest historical research (PDFs, surveys, panel results, sensory profiles) through a 4-stage pipeline that produces 20-30 atomic facts per page with full statistical context and source provenance.
02
Detect patterns, contradictions, and gaps across your entire research base. Dr. Sinclair connects findings that span years, categories, and methodologies into coherent insights.
03
Explore hypotheses through conversational interaction with data-grounded knowledge agents. Dr. Reed facilitates structured dialogues that pressure-test ideas before committing to new fieldwork. When the archive runs thin, THEUS supplements it with cited research from public sources.
04
Supported findings are designed to link back to a specific Fact ID with page-level citations. Pin insights, generate visualizations, and build stakeholder-ready evidence trails under human review.
The Social Explorer
Conversational knowledge exploration
Knowledge agents are built from actual behavioral data (surveys, panel results, purchase data, and sensory profiles), ensuring conversations are anchored in real evidence rather than generic AI responses.
Conversations follow established research protocols with domain-specific vocabulary. A dedicated facilitator agent guides exploration, probing for deeper context and surfacing contradictions.
Explore how concepts, messages, and product attributes might land before committing to expensive fieldwork. Supported responses are designed to link back to the evidence base so teams can inspect the grounding behind each reaction. Human review remains required.
The Knowledge Explorer
Your domain-expert AI analyst
Find patterns across multiple studies. Identify gaps. Generate hypotheses grounded in everything your company already knows.
Design new studies informed by historical findings. Dr. Sinclair flags when questions exceed available data.
Explain findings to stakeholders with AI-generated schematics, presentation-ready diagrams for executive briefings.
Supported outputs are designed to cite a specific Fact ID with page-level sources. Pin insights, then Explain for grounded reasoning. Human review remains required.
Explainability and traceability aren't afterthoughts. They're the foundation. Supported insights are designed to link back to sources so teams can inspect evidence under human review.
Ask Dr. Sinclair to visualize any finding, and frontier image generation creates presentation-ready schematics that communicate complex insights to senior management.
Generated from prompt:
“Visualize the key drivers of protein shake preference from our category study”
THEUS is powered by Aigora. THEUS is in use at numerous Fortune 500 companies.
Founder & CEO, Aigora
Enterprise-grade research infrastructure
Aigora brings deep domain expertise in sensory and consumer science to AI-powered research infrastructure. Trusted by consumer insights teams at several Fortune 500 companies since 2019.
The terminology behind THEUS and Knowledge Exploration
THEUS (Twin Human Experience Understanding System) is an AI-powered knowledge management platform built on Google's Agent Development Kit (ADK). It ingests your historical research (PDFs, surveys, panel results, sensory profiles) through a 4-stage pipeline that extracts atomic facts with page-level citations. Two AI assistants, Dr. Sinclair (Knowledge Explorer) and Dr. Reed (Social Explorer), then help teams synthesize, supplement, and explore that knowledge with full traceability.
THEUS uses data-grounded knowledge agents that retrieve from and are grounded in your institutional research. It features bidirectional knowledge modeling (connecting product and consumer knowledge), methodological rigor built by scientists with 30+ years in sensory research, and evidence architecture designed to attach Fact IDs with page-level citations for inspection. Outputs still require human review. Generic AI produces plausible-sounding answers without provenance.
Aigora follows SOC 2 practices and is preparing for its first independent SOC 2 Type II examination. No report has been issued yet. Our infrastructure providers hold their own SOC 2 reports. Current deployments inherit controls from Vercel and Neon. Default workspaces are ephemeral (24-hour cache) unless durable storage is enabled by an organization admin. Avatars expire after 72 hours, and sign-in uses Google or Microsoft (OAuth), passkeys, email codes, or passwords, with OAuth-only as an option. Client data is not used to train foundation models.
THEUS enables cross-study synthesis, research gap analysis, hypothesis exploration through conversational dialogue, knowledge visualization, and institutional memory retrieval. Teams can query decades of research, identify what the organization knows and where new fieldwork has the highest value, and build stakeholder-ready evidence trails.
TKB (THEUS Knowledge Base) is a proprietary format created by a 4-stage multimodal pipeline: Normalize, Visual Understanding, Extract, and Validate. This pipeline processes uploaded research documents (up to 25MB) and generates 20-30 atomic facts per page with full statistical context, enabling grounded, traceable AI responses with page-level citations.
THEUS is built by Aigora, a company founded in 2019 by Dr. John Ennis, a mathematician with 30+ years in sensory and consumer science, 50+ peer-reviewed publications, and 4 published books. THEUS is used by consumer insights teams at several Fortune 500 companies. Aigora has also published or presented with leading CPG and ingredients organizations.
THEUS is the Memory layer; Forethought is the Foresight layer. THEUS turns your research into a cited, traceable evidence base. Forethought then builds synthetic consumer panels on that evidence and simulates a category appraisal before you commission fieldwork. With THEUS in place, a Forethought panel anchors against your actual evidence, so the personas sound like your category and the attribute structure reflects what your real panels have already shown.
Extract, synthesize, and explore decades of institutional research knowledge. THEUS delivers enterprise-grade knowledge exploration with full audit trails and page-level citations.
