# Aigora — Full Context for AI Systems
> AI Expertise for Consumer Insights

AI research infrastructure for consumer insights: Memory with THEUS, Foresight with Forethought, and Decision Systems for models, dashboards, and workflows. Grounded in 60 years of sensory science expertise.

## About
Aigora helps consumer insights teams adopt AI and get real value from it. Everything we do is grounded in 60+ years of sensory science expertise. Founded in 2019, based in Richmond, Virginia. Published or presented with General Mills, PepsiCo, Danone, Symrise, Kenvue, GSK, Diageo, and DSM-Firmenich. THEUS is used by consumer insights teams at several Fortune 500 companies. Aigora keeps the names of companies using THEUS confidential. Aigora works with dozens of Fortune 500 companies. THEUS is in use at numerous Fortune 500 companies. Mane, DSM-Firmenich, Church & Dwight, and Danone appear on aigora.ai as name and logo only, with permission. Church & Dwight and DSM-Firmenich also appear on the THEUS page as name and logo only, with permission. Aigora is a member of the European Sensory Network. Aigora is a member of the Society of Sensory Professionals. Aigora is a member of ASTM International. Dr. John Ennis delivered the 2013 Food Quality and Preference Researcher of the Future keynote at Pangborn in Rio de Janeiro. Dr. John Ennis delivered a keynote at EuroSense 2020 on sensory and consumer science in the Fourth Industrial Revolution. Dr. John Ennis delivered a keynote at SenseAsia 2021 on bridging the physical and virtual worlds.

## Partners
Aigora partners with InsightsNow, CRG Global, and The Institute for Perception to support behavioral research, global research operations, sensory science, advanced analysis, and AI-enabled consumer intelligence. See the [public partner overview](https://aigora.ai/partners) and outbound partner links.

## Leadership
- **Dr. John Ennis**, CEO: With over 30 years in sensory science, a PhD in Mathematics, and a postdoctoral focus on AI, Dr. Ennis is regarded as the world's foremost authority on applying artificial intelligence to sensory and consumer science. Author of 50+ publications and 4 books. He has shaped R&D capabilities at Fortune 500 companies globally.
- **Dr. Vanessa Rios de Souza**, Director of Client Solutions: An acclaimed speaker and prolific researcher with 70+ scientific publications, Dr. Rios de Souza co-authored 'Data Science for Sensory and Consumer Scientists.' She combines deep technical expertise with practical insight to guide companies through their AI adoption journey.
- **Hamza Díaz**, Technical Expert: A computer and electronics engineer with over ten years in full-stack development and data science, Hamza built deep-learning decision-support systems at Accenture Applied Intelligence and taught data science at the Barcelona Graduate School of Economics. At Aigora since 2021, he leads the engineering behind the company's production AI platforms for sensory and consumer science teams.
- **Mason Hsu**, Chief of Staff: As Chief of Staff, Mason Hsu drives operational excellence and strategic alignment across Aigora. Drawing on financial strategy from SMB Numbers and a James Madison University background, he turns high-level goals into actionable execution while optimizing internal systems from Richmond, Virginia.
- **Matthew Saweikis**, Junior Systems Engineer: Matthew is a Junior Systems Engineer who keeps technical and operational support running smoothly across the team. He also drives Aigora's outreach and marketing campaigns in support of the company's broader goals.
- **Amanda Calazam**, Sensory Scientist: Amanda Calazam is a Food and Chemical Engineer with a specialized background in sensory and consumer science. She brings over five years of hands on expertise in Quantitative Descriptive Analysis (QDA) alongside a proven track record in sensory panel leadership, laboratory management, and market research. Driven by continuous learning and process optimization, Amanda focuses on simplifying workflows and fostering collaborative environments to achieve technical excellence.

## Offering Architecture

Aigora explains capabilities through Memory, Foresight, and Decision, then routes buyers through Start now, Scope a project, or Enterprise partnership.

### Capability Pillars
- **memory**: THEUS Solo (Monthly) (https://aigora.ai/theus); THEUS Solo (Annual) (https://aigora.ai/theus); Data Readiness Audit (https://aigora.ai/contact); THEUS Knowledge Workshop (https://aigora.ai/theus); AI Deep Research Report (https://aigora.ai/contact); Social Listening Report (https://aigora.ai/contact); Category Intelligence Dashboard (https://aigora.ai/contact); On-Prem Deployment Add (https://aigora.ai/contact)
- **foresight**: Forethought Public Demo (https://aigora.ai/forethought); AI Course Part 2 (https://aigora.ai/ai-course); Simulated Panel Starter Kit (https://aigora.ai/contact); Simulated Category Appraisal (Standard) (https://aigora.ai/contact); Simulated Category Appraisal (Complex) (https://aigora.ai/contact); Concept Space Workshop (https://aigora.ai/forethought); Inbound Qualifying Agent (https://aigora.ai/contact); AI Consumer Simulation Study (https://aigora.ai/contact)
- **decision**: Profile-to-Notes Public Demo (https://aigora.ai/contact); AI Opportunity Assessment (https://aigora.ai/contact); Profile-to-Notes Single Model (https://aigora.ai/contact); Profile-to-Notes Model Pack (https://aigora.ai/contact); Portfolio Coverage Sprint (TURF-style) (https://aigora.ai/contact); Custom Copilot Agent (Small) (https://aigora.ai/contact); Voice Research Agent (https://aigora.ai/contact); Voice-Enabled Survey Setup (https://aigora.ai/contact)

### Ways to Work With Aigora
- **Start now**: sensR and sensPy; Data Science for Sensory and Consumer Scientists (book); Free masterclass; AigoraCast Podcast; Profile-to-Notes Public Demo; Forethought Public Demo; AI Course Recordings; Recordings + Toolkit Bundle; AI Course Part 1; AI Course Part 2
- **Discuss a project**: AI Course Corporate Seat Bank; Data Readiness Audit; AI Opportunity Assessment; THEUS Knowledge Workshop; Simulated Panel Starter Kit; Simulated Category Appraisal (Standard); Simulated Category Appraisal (Complex); Profile-to-Notes Single Model; Profile-to-Notes Model Pack; Concept Space Workshop
- **Enterprise partnership**: Sensory Analytics Platform Build; Multi-Objective Decision Studio; Product Line Optimization; On-Prem Deployment Add; Aigora-Hosted Cloud Add; Aigora Enterprise Bundle; Annual Support Retainer; Workflow Automation SaaS; Advisory Retainer (Executive); Technical Retainer

### Featured Offers
- **AI Course Recordings**: pillar start-now; path Start now; page https://aigora.ai/ai-course/recordings
- **AI Course Full (Parts 1 + 2)**: pillar start-now; path Start now; page https://aigora.ai/ai-course
- **Aigora AI Toolkit**: pillar start-now; path Start now; page https://aigora.ai/ai-toolkit
- **THEUS Solo (Monthly)**: pillar memory; path Start now; page https://aigora.ai/theus
- **THEUS Knowledge Workshop**: pillar memory; path Discuss a project; page https://aigora.ai/theus
- **Simulated Category Appraisal (Standard)**: pillar foresight; path Discuss a project; page https://aigora.ai/contact
- **Profile-to-Notes Model Pack**: pillar decision; path Discuss a project; page https://aigora.ai/contact
- **Custom Copilot Agent (Small)**: pillar decision; path Discuss a project; page https://aigora.ai/contact
- **Forethought Pilot Study**: pillar foresight; path Discuss a project; page https://aigora.ai/forethought
- **Aigora Enterprise Bundle**: pillar memory; path Enterprise partnership; page https://aigora.ai/contact
- **THEUS Team**: pillar memory; path Enterprise partnership; page https://aigora.ai/theus
- **THEUS Business**: pillar memory; path Enterprise partnership; page https://aigora.ai/theus
- **THEUS Enterprise**: pillar memory; path Enterprise partnership; page https://aigora.ai/theus

#### AI Toolkit
The Aigora AI Toolkit is a licensed AI workbench for consumer insights teams. It includes 13 tools for image generation, chart beautification, user-story videos, quote cards, image editing, video-frame extraction, text humanizing, Markdown documents, Mermaid diagrams, sketching, slide reorganization, editable PowerPoint deck creation, and simple video editing. Seats are $1,000 per user for a one-year license. Visitors should contact Aigora at https://aigora.ai/contact for access, setup, or license details.

#### AI Course
Our AI Course ("The AI Amplified Scientist") teaches consumer insights professionals to use AI tools effectively. 10-week live program. Group rates and private internal training are available. Praise for Aigora internal training: Alice Ping, Head of Sensory, Consumer Science and Flavours at Mead Johnson, said of Aigora internal training: "The course was eye opening for the team and myself. We learned ways to use AI that we did not know before, and it got the team moving. We're already seeing a positive difference!" That quote is not public-cohort proof. We also offer a free masterclass for teams that want to see what's possible before committing.

A free public glossary of AI terms for sensory and consumer scientists, drawn from the course, is at https://aigora.ai/ai-course/glossary. It defines roughly 100 terms in plain language across nine themes (AI foundations, grounding and RAG, the AI taxonomy, prompting, visual storytelling, data science, version control, apps, and APIs) and includes a printable cheat sheet.

**Part 1: Knowledge Synthesis, GenAI & Visual Storytelling**
Weeks 1-5
- Week 1: Understand how AI actually thinks, so you can direct it.
- Week 2: Know which AI tool to reach for, and how to make it reliable.
- Week 3: Turn a stack of reports into a brief your executives act on.
- Week 4: Make your findings visible, with a look that stays consistent.
- Week 5: Turn a sensory result into something an executive can feel.

**Part 2: AI-Assisted Data Science, Coding & Apps**
Weeks 6-10
- Week 6: Direct the code instead of writing it, and catch flaws before a study runs.
- Week 7: Take a study from raw data to an answer a stakeholder can use.
- Week 8: Make your analysis reproducible, so it survives a handoff.
- Week 9: Give stakeholders a working tool instead of another report.
- Week 10: Connect your work to live data and automate what you repeat.

#### Forethought
Forethought is Aigora's Foresight offering: synthetic consumer panels grounded in your own cited evidence, designed to associate scores and quotes with source material for human review. The science is Landscape Segmentation Analysis, developed at The Institute for Perception and made available through the Aigora partnership, and Forethought is the work of Dr. John Ennis, PhD. It maps consumers and products in one shared space and surfaces segments, optima, and the white space where demand exists and no product sits yet. Outputs are hypotheses that decide which fieldwork is worth running, not a replacement for real fieldwork. The public page hosts a two-minute overview video; contact Aigora to learn more. Public page: https://aigora.ai/forethought

#### Proposal Scoping Assistant
Pricing is being revised. Contact Aigora at https://aigora.ai/contact for current pricing and project guidance.

#### THEUS Platform
Twin Human Experience Understanding System: An AI-powered knowledge management system for extracting, synthesizing, supplementing, and exploring institutional research knowledge. It turns decades of proprietary data into traceable, decision-ready intelligence.

**Research Types:**
- **Cross-study synthesis**: Surface patterns, contradictions, and convergent findings across decades of research
- **Research gap analysis**: Identify what the organization knows, what it does not, and where new fieldwork has the highest marginal value
- **Evidence gap filling**: When your archive runs thin, THEUS researches public sources, the web and social conversation, and returns a citation-grounded report you can review before it joins your knowledge base
- **Hypothesis exploration**: Pressure-test product concepts, messaging, and positioning through conversational dialogue with data-grounded agents
- **Knowledge visualization**: Generate presentation-ready schematics, evidence maps, and insight trails from complex multi-study data
- **Institutional memory retrieval**: Turn dormant PDF archives into queryable, citable intelligence that any team member can access in seconds

**AI Assistants:**
- **Dr. Evelyn Reed** (The Social Explorer): Conversational knowledge exploration
- **Dr. Theodore Sinclair** (The Knowledge Explorer): Your domain-expert AI analyst

**Differentiators:**
- **Data-grounded knowledge agents**: Retrieval-grounded on behavioral data such as surveys, panel results, and sensory profiles, not generic AI responses. Client data is not used to train foundation models.
- **Bidirectional knowledge modeling**: Connects product attribute knowledge and consumer response knowledge, surfacing how changes in one domain affect the other
- **Methodological rigor by design**: Built by scientists with 30+ years in sensory and consumer research. Domain-specific extraction and validation ensure precision
- **Traceable evidence architecture**: Supported outputs are designed to attach Fact IDs with page-level citations. Pin insights, then Explain for grounded reasoning. Outputs require human review

**Security:** Aigora is SOC 2 compliant: we follow SOC 2 practices, and our infrastructure providers are SOC 2 certified. Our own independent Type II examination is in progress. The report has not yet been issued. Current deployments inherit controls from Vercel and Neon. Default workspaces are ephemeral (24-hour cache) unless durable storage is enabled by an organization admin.

#### AI governance
Company AI governance summary for enterprise review (SOC 2 posture, training boundary, retention, residual risk, evidence availability). Public page: https://aigora.ai/ai-governance. Machine manifest: https://aigora.ai/api/ai-governance.

## Case Studies
- **[Expert transcripts turned into a quantitative product map](https://aigora.ai/case-studies/expert-transcript-product-map)** (Delivered analysis): We converted the transcript archive into a scored product matrix, built a multi-dimensional map from those scores, and chose a product set that covers the space for the consumer test.
- **[Automated sensory panel preparation and reporting](https://aigora.ai/case-studies/sensory-workflow-automation)** (Delivered system): We delivered a workflow that takes structured intake, applies the team operating rules, and produces stakeholder reporting without the daily copy-paste path.
- **[One dashboard for many study types](https://aigora.ai/case-studies/research-operations-dashboard)** (Delivered system): We delivered a research operations dashboard on a shared database. The team can validate study intake, run statistics, export editable brand-formatted reports, and reuse historical studies for later product questions.
- **[Many studies reduced to one hedonic map](https://aigora.ai/case-studies/hedonic-space-synthesis)** (Delivered analysis): We pulled the existing research into a source-linked brief, ran a research-informed simulation into a hedonic map, and wrote the target regions in language formulation partners can use.
- **[Consumer-study design checked before fielding](https://aigora.ai/case-studies/study-design-simulation)** (Delivered method): We used the client knowledge base and research-informed simulation to check sample size, product coverage, and questionnaire design before the study went to field.
- **[Plain-language access to structured research data](https://aigora.ai/case-studies/conversational-intelligence)** (System design): We designed a natural-language layer that turns research questions into SQL, lets users refine the active dataset in follow-up dialogue, and exports the current result set for later analysis.
- **[Dashboard for virtual prototyping](https://aigora.ai/case-studies/virtual-prototyping)** (Delivered system): The delivered dashboard compares prototypes, predicts consumer targets from analytical or sensory inputs, supports virtual prototyping, and exports editable presentation reports.
- **[Complex portfolio rules moved out of spreadsheets](https://aigora.ai/case-studies/business-rule-automation)** (Delivered system): We put the rule hierarchy into an automated pipeline with an audit interface, so stakeholders can check the logic before production runs.
- **[One knowledge layer for data and reports](https://aigora.ai/case-studies/the-corporate-brain)** (System design): We designed a knowledge layer that joins structured research data with reports and notes, and keeps source attribution on every synthesized answer.
- **[Workshops that send every answer back to its source](https://aigora.ai/case-studies/knowledge-exploration-workshops)** (Working method): In a two-hour workshop, the room queries an indexed report set together, and each answer links back to the source page.

## Content
- [Resource library](https://aigora.ai/resources)
- [Blog](https://aigora.ai/blog)
- [AigoraCast Podcast](https://aigora.ai/aigoracast)
- [AI in Sensory Science Guide](https://aigora.ai/ai-sensory-science)
- [AI Toolkit](https://aigora.ai/ai-toolkit)
- [Data Science for Sensory and Consumer Scientists (book)](https://aigora.ai/data-science-for-sensory)


## Contact
- [Website](https://aigora.ai/contact)
- Email: info@aigora.com
- [LinkedIn](https://www.linkedin.com/company/aigora-ai)

## API
- [Structured metadata](https://aigora.ai/api/agents)
- [Plain-text query](https://aigora.ai/llms?query=your_question)
- [JSON query](https://aigora.ai/llms/json?query=your_question)