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THEUS (Aigora)Enterprise AI research system that turns proprietary studies into traceable insights with fact IDs, citations, and expert avatars for synthesis.

4.6 (5)
Daniel NikulshynReviewed by Daniel Nikulshyn·Updated June 2026

Overview

THEUS is an enterprise AI research system that transforms proprietary studies into traceable insights with fact IDs, citations, and expert avatars. It's built on Google's Agent Development Kit (ADK) and uses bidirectional modeling for data-grounded knowledge agents. Users can extract, synthesize, and explore their research data, and every claim is backed by a specific Fact ID with page-level citations. THEUS offers two ways to explore: generating new insights with Dr. Reed or analyzing existing knowledge with Dr. Sinclair. This platform is designed for VPs of Insights, Global Sensory Leads, and Innovation leaders evaluating strategic capability build-out. It uses a purpose-built research methodology, not generic enterprise AI, and creates data-grounded knowledge agents trained on actual institutional data. With 85% of new products failing within two years (Nielsen), evidence-grounded exploration dramatically improves decision quality. THEUS offers a solo seat, which includes features such as up to 30 documents ingested per month, up to 1,500 pages parsed per month, and up to 500 questions to Dr. Sinclair per month. One of the key benefits of THEUS is its ability to turn decades of proprietary data into traceable, decision-ready intelligence with AI-powered knowledge agents.

Key features

  • Extract, synthesize, and explore research data
  • Generate new insights with Dr. Reed or analyze existing knowledge with Dr. Sinclair
  • Bidirectional modeling for data-grounded knowledge agents
  • Connect product and consumer knowledge for bidirectional insight
  • Supports cross-study synthesis and research gap analysis

Pricing

Model
Freemium
Rating
4.6 / 5 (5)

Use cases

Synthesize proprietary research studies

Aggregate internal studies into traceable insights, using fact IDs and citations so analysts can verify every claim back to its source document.

Expert avatar-driven analysis

Leverage expert avatars to synthesize findings across multiple research projects, simulating domain-specialist perspectives for richer interpretation.

Audit-ready insight reporting

Generate enterprise reports where each fact is linked via citation, supporting compliance, peer review, and defensible decision-making.

Institutional knowledge retrieval

Query historical proprietary studies to surface relevant prior findings, reducing duplicated research and accelerating new project scoping.

Pros & Cons

Pros

  • Turn proprietary research into strategic infrastructure
  • Provides traceable and explainable insights
  • Bidirectional modeling for data-grounded knowledge agents
  • Supports decision-ready intelligence
  • Generates up to 20-30 atomic facts per page from historical research

Cons

  • No information on pricing tiers beyond solo seat
  • Limited scalability beyond solo seat
  • Requires procurement cycle for team/business tiers
  • No information on integrations or workflow

Reviews

4.6

Average from 5 ratings.

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O

Omar Haddad

Feb 6, 2026

Does the job

Pretty happy overall. The automation just works and it saves real time. but no dealbreakers — I'd recommend it to a friend without hesitating.

M

Margaret Whitfield

Oct 19, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: the onboarding and it saves real time. On balance the feature set — especially the onboarding — justifies the 5 stars for our use case.

L

Linda Petersen

Aug 6, 2025

Solid for our team

We rolled this out across the team last quarter and the value for money is strong. The automation fits neatly into how we already work, and the API removed a step we used to do by hand. A few rough edges remain, which is the main caveat, but it has held up under daily use.

E

Ethan Brooks

Jul 8, 2025

Does the job

Pretty happy overall. The core workflow just works and support is responsive. The mobile experience lags can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

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Gunnar Eriksson

Jun 23, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the onboarding, and it saves real time caught me off guard. Pricing gets steep at scale is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Q&A

Who is THEUS designed for?

THEUS is built for enterprise organizations that need to synthesize proprietary research studies at scale, particularly teams that require traceability, citations, and expert-driven synthesis rather than generic AI summaries.

What does THEUS actually do for enterprise research teams?

THEUS is an enterprise AI research system from Aigora that transforms proprietary studies into traceable insights. It generates outputs with fact IDs, citations, and expert avatars to support reliable synthesis across your research corpus.

How does THEUS ensure insights are trustworthy and auditable?

Every insight is grounded with fact IDs and citations linking back to the underlying proprietary studies, so users can trace claims to their source. Expert avatars further support transparent synthesis rather than opaque AI outputs.

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