CAPABILITIES DECK

aigora

AI for R&D and Consumer Insights.

Predictive research. Knowledge exploration. Training. Built on deep expertise in sensory science.

STRATEGIC PREMISE

AI that strengthens research judgment.

Years of research sitting in PDFs nobody can search. New studies that cost $50K+ and take months. Aigora fixes both. We make historical research queryable and run predictive studies grounded in your own panel data. Every answer traces back to the source.

Built for insights, sensory, knowledge, R&D, and formulation science leaders who want answers, not another dashboard.

As machines predict, humans must decide.

Dr. John Ennis
Founded2019

Richmond, Virginia

Founder32 years

Dr. John Ennis in sensory science

TrustFortune 500

Collaborations across global CPG and health brands

Dr. John Ennis

Built by

Dr. John Ennis

CEO & AI Pioneer

  • PhD in Mathematics with postdoctoral research in computational neuroscience
  • 50+ peer-reviewed publications and 4 published books
  • Researcher of the Future award (Food Quality and Preference, 2013)

WHAT WE DELIVER

Three products. One evidence layer.

Simulated studies, searchable knowledge bases, and AI training for consumer insights teams. You get the answers. We run the engine.

THREE PRODUCTSOne evidence layer. Every product draws from the same governed research base. Applicable across CPG, personal care, health, nutrition, and formulation science.

01LEAD PRODUCT

Concept Explorer

Send us your data via secure upload or API. We build predictive models grounded in your historical data and run a category appraisal, formulation screen, descriptive analysis, or concept test. Report in days.

02KNOWLEDGE PLATFORM

THEUS Knowledge Exploration

We turn your research archive into a governed knowledge base and run a live workshop where your team explores it together. Literature reviews that took days now take seconds.

03EDUCATION

AI Training

A 10-week course that teaches consumer insights professionals to work with AI. 50+ alumni from Fortune 500 companies. Plus the Aigora AI Toolkit for teams that want practical tools now.

CASE STUDY 01

40,000 studies. One searchable source.

From fragmented regional files to a single governed knowledge base.

A Fortune 100 food and beverage company had decades of sensory and consumer data spread across regions, formats, and file systems. We indexed 40,000+ studies into one governed knowledge base. 70% less time on data management. Full research history searchable in seconds.

Signal40,000+ studies indexed
Impact70% less manual data management
  • Structured schema linking descriptive, consumer, instrumental, and clinical data
  • Automated ingestion pipelines with validation and correction flows
  • Global access to historical studies without duplicated effort

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CASE STUDY 02

Ask questions in plain English. Get rigorous answers.

Leadership accesses complex research data without going through analysts.

A global top-5 beverage company needed leadership to access research data without going through analysts. We built a system that translates plain language into precise queries, validates results, and produces executive-ready summaries. Time-to-insight dropped from days to minutes.

SignalDays to minutes
ImpactLeadership self-serve on research data
  • Translates natural-language questions into precise analytical queries
  • Runs multi-step validation before analysis is shown to the user
  • Lets non-technical leaders retrieve evidence without analyst bottlenecks

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NOW AVAILABLE AS

Concept Explorer

CASE STUDY 03

Test thousands of formulations before entering the lab.

Filter low-probability prototypes digitally, then validate the winners.

A Fortune 100 personal care company used predictive modeling, grounded in historical sensory panel data, to isolate drivers of liking before physical production. Thousands of digital experiments filtered low-probability prototypes. Now available as Concept Explorer.

SignalThousands of in-silico experiments
ImpactFewer physical runs needed
  • Interactive models explored the sensory sweet spot before physical runs
  • Predictive workflows linked product variables to consumer liking drivers
  • Digital screening reduced the number of physical prototypes worth producing
CANDIDATE FORMULATIONSIN-SILICO SCREENLAB SHORTLIST

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CASE STUDY 04

Lit reviews that took days now take seconds.

The “why” becomes searchable alongside the “what.”

A global consumer health brand used THEUS to connect quantitative outcomes with qualitative context, internal reports, and scientific literature in one workspace. Strict source attribution. Lit reviews went from days to seconds, every finding traceable.

SignalDays to seconds
ImpactEvery finding traceable to the source
  • Hybrid retrieval across structured outcomes, historical reports, and literature
  • Strict source attribution separating internal and external evidence
  • Answers in seconds with every finding traceable to the source document

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KNOWLEDGE PLATFORM

THEUS

Your research, searchable and traceable. THEUS turns your historical studies into atomic facts with page-level citations and full provenance. Explore what you already know before spending on new fieldwork.

  • Turns historical studies into atomic facts with page-level citations and full provenance
  • Explores what is known across studies before teams re-spend on new fieldwork
  • API access available for integration with internal BI, PLM, and R&D workflows
RESEARCH BASEEXPLORE

GOVERNED RESEARCH BASE

THEUS

Your studies, converted to atomic facts via retrieval-augmented generation and structured extraction, with page-level citations and source provenance.

20-30atomic facts per page
Fact IDswith page-level citations

Knowledge Explorer

Explore
Dr. Theodore SinclairDetect contradictions, identify research gaps, and generate visualizations with fact-level citations.

INTEGRATES WITH CONCEPT EXPLORER

Prediction meets knowledge

Concept Explorer outputs feed directly into your THEUS Research Base for validation, exploration, and API-driven retrieval.

COST COMPARISON

Fieldwork vs. Pre-screen

LEAD PRODUCT

Concept Explorer

Predictive studies grounded in your data.

Send us your historical research. Concept Explorer builds predictive models trained on your historical data, with explicit uncertainty bounds on each output. Every response traces to the source facts. Use it to pre-screen formulations, concepts, or ingredients and prioritize which deserve full study.

  • Pre-screen concepts before committing to full fieldwork.
  • Managed service or API integration. No software to learn.
  • Integrates with THEUS for deeper exploration of results.

ENTERPRISE TRUST

Built for enterprise trust.

Teams can trace each answer to the source page, review the controls, and see how the system handles retention, access, and model boundaries.

Audit-ready by design

Every claim can be audited back to the original document and page number.

Safe model boundary

Proprietary research is never used to train models, and session data auto-deletes after 24 hours.

Governance stays visible

Enterprise SSO, identity-provider MFA, audit logs, data isolation, and configurable data residency stay clear to the teams who need to review them.

RESEARCH BASE STRUCTURE

Four-stage knowledge pipeline

Ingest PDFs, CSVs, and LIMS exports via secure upload or API. Visual document understanding preserves tables and figures. LLM-powered extraction produces atomic facts with statistical context, stored in a structured knowledge graph. Domain-specific QA validates each fact before it enters the base.

24hsession data auto-delete
365daudit-log retention
OAuthGoogle + Microsoft sign-in

No Training Data

Your proprietary research is never used to train AI models.

TLS 1.3

All data transmissions are encrypted in transit with modern transport security.

SSO + MFA

Authentication is enforced through your identity provider with enterprise sign-in controls.

SOC 2 Infrastructure

Built on SOC 2 Type II compliant infrastructure providers rather than improvised prototypes.
Infrastructure-provider SOC 2 controls, enterprise SSO, 24-hour auto-deletion, and no model training on proprietary data.

NATURAL INTELLIGENCE

Human judgment stays at the center.

More than 60 years of combined experience in consumer insights and sensory science, paired with AI systems that preserve provenance, interpretation, and nuance.

60+ yearsCombined experience in sensory science, quantitative research, and computational modeling
120+Peer-reviewed publications by Aigora leadership
4Published books on sensory science, data analysis, and AI
Dr. John Ennis

Dr. John Ennis

CEO & AI Pioneer

Dr. Vanessa Rios de Souza

Dr. Vanessa Rios de Souza

Director of Client Solutions

Bartosz Smulski

Bartosz Smulski

Director of Technical Solutions

WHAT THIS ADDS UP TO

Turn years of research into something your team can use.

Aigora helps R&D and consumer insights teams search what they already know, test ideas before committing to new fieldwork, and trace every answer to the source. We deliver as managed service, workshops, or API integration. Pricing scales with data volume and scope.

Book a call: aigora.ai/contact

Aigora Capabilities Deck | Aigora