Climate-related losses keep mounting, cyber risk has become a board-level concern, and artificial intelligence is already reshaping how (re)insurers analyse their portfolios. Against that backdrop, the insurance sector needs venues to compare approaches and put new tools to the test. That is exactly what the INNN trade show sets out to do, and Dylogy will be there on 4 and 5 November.
INNN: the trade show for insurtech and risk management
Organised by French Assurtech and Altæ Technopole Niort Deux-Sèvres, INNN brings together insurance decision-makers, technology experts and European startups each year around a single question: how to innovate to manage and prevent tomorrow's risks. The 2026 edition will take place at the Espace Horizon in Niort-Chauray, with 84 exhibitor stands, more than 110 speakers, and around forty French and European startups and insurtechs, covering climate risk, cybersecurity, AI, shifting customer expectations, and new mobility patterns.
Why Dylogy is attending
At Dylogy, we build AI solutions for insurance and reinsurance: Wording Analyzer, which helps underwriters and reinsurers analyse policy wordings, and Claims Discover, which extracts structured risk knowledge from unstructured claims portfolios. Both fit naturally into a show built around innovation for risk, and we're glad to reconnect with the French Assurtech ecosystem we already work alongside.
Come talk to the team
Our team will be on site both days to present our products and discuss practical use cases for AI in underwriting and claims handling. Registration for the show is free at innn.fr.
Will you be in Niort on 4-5 November? Get in touch to set up a time to meet on site.
| Domaine d'Application | Bénéfices Clés grâce aux Graphes de Connaissances |
| Prévention | Identifier les causes racines communes à plusieurs sinistres pour proposer des actions préventives. Détecter les causes secondaires pour limiter la propagation des dommages. |
| Tarification | Proposer des segmentations plus fines des assurés en fonction des chaînes de causes réelles. Mieux évaluer l'impact d'une exclusion de garantie (par exemple, "Exclusion de l’usure de machines"). |
| Provisionnement | Comprendre les dynamiques d'évolution des pertes et identifier les causes qui, étonnamment, ne mènent à aucun coût, pour affiner les réserves financières. |
