EXPODATA.AI LTD
Expodata.ai Ltd is a UK-based AI startup focused on transforming event data analysis through conversational AI.
Profile
Conversational AI that answers event professionals' data questions instantly without manual analysis.
Expodata.ai Ltd is a UK-based AI startup focused on transforming event data analysis through conversational AI. Founded by a team with deep expertise in tax, regulatory compliance, and data science, the company has positioned itself as a specialist in automating event data workflows. Russell Gammon, Chief Innovation Officer, brings 17 years of tax and regulatory AI experience, while Rodney Hoinkes provides strategic scaling guidance for SMEs.
The company's flagship product is a conversational AI analyst designed specifically for event professionals, offering instant answers to data queries without requiring manual analysis. Expodata.ai targets mid-sized to large event organizers, trade show producers, and corporate event teams looking to reduce costs and increase efficiency in post-event analytics. While financials and funding details are not publicly disclosed, the company's lean team structure and focus on a niche market suggest a bootstrapped or early-stage venture model. What's notable in 2026 is their pivot from general data analysis to specializing exclusively in the events industry, a move that differentiates them from broader AI analytics platforms but also narrows their addressable market.
Who buys this
- Trade show and exhibition organizers
- Corporate event planning teams
- Conference production companies
- Event marketing agencies
- Venues analyzing attendee behavior data
Strengths and what to watch
Strengths
- Specialized AI trained specifically on event industry data patterns and KPIs
- Team includes regulatory compliance expertise from taxtech background
- Clear focus on reducing manual work in post-event analysis workflows
Watch for
- Narrow focus on events industry may limit growth potential compared to general analytics AI
- No disclosed funding rounds or revenue figures as of mid-2026
- Leadership team appears lean with gaps in product marketing and sales experience
Key Information
- Headquarters
- UK
Frequently Asked Questions
What does EXPODATA.AI do?
EXPODATA.AI provides conversational AI that instantly answers event professionals' data questions without manual analysis. The UK-based startup specializes in automating event data workflows for trade shows, conferences, and corporate events. Their AI analyst understands industry-specific KPIs to streamline post-event reporting.
Who uses EXPODATA.AI's technology?
Their core customers include trade show organizers, corporate event teams, conference producers, and event marketing agencies. The platform helps mid-sized to large event professionals reduce costs and improve efficiency in analyzing attendee behavior, engagement metrics, and other post-event data.
How is EXPODATA.AI different from general analytics AI?
Unlike broad analytics platforms, EXPODATA.AI specializes exclusively in event industry data patterns. Their AI is trained on event-specific KPIs and workflows. This niche focus allows deeper understanding of attendee behavior, session popularity, and exhibition metrics compared to generic business intelligence tools.
What expertise does EXPODATA.AI's team have?
The leadership combines taxtech regulatory AI experience (Russell Gammon's 17-year background) with SME scaling knowledge (Rodney Hoinkes). This blend of compliance expertise and growth strategy informs their approach to automating event data workflows with trustworthy, audit-ready analytics.
Can EXPODATA.AI replace manual event reporting?
The platform aims to significantly reduce manual work in post-event analysis by providing instant answers to common data queries. While not eliminating all human review, it automates routine questions about attendance patterns, session engagement, and exhibitor performance through conversational AI.
What should event pros consider before using EXPODATA.AI?
Potential users should evaluate the platform's specialized event focus against broader analytics tools. While optimized for trade shows and conferences, its narrow scope may not suit organizations needing cross-industry analysis. The lean team structure also suggests prioritizing core functionality over extensive customization.
Sources
- expodata.ai — Company's product focus and positioning in event data analytics
- uk.linkedin.com — Russell Gammon's taxtech and regulatory AI background
- uk.linkedin.com — Rodney Hoinkes' involvement in strategic scaling
- uk.linkedin.com — Lisa Rollings' business development role connecting tech decision-makers