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5 min. de lecture —
October 8, 2026

Dylogy named to the 2026 InsurTech100

Written by
Emilie-Anne Exartier

Dylogy has been named to the 2026 InsurTech100, the annual list published by specialist research firm FinTech Global to recognise the companies shaping the future of insurance through technology.

Three years after our founding in Lyon, this recognition places Dylogy among the InsurTechs that analysts and industry experts consider the most innovative and influential worldwide. We see it as a strong signal for the approach we have taken since day one: building risk intelligence that (re)insurers and brokers can use in their daily operations.

A selection from more than 2,100 InsurTechs

Now in its ninth edition, the InsurTech100 is compiled by a panel of analysts and industry experts. This year, they reviewed a list of more than 2,100 InsurTech companies assembled by FinTech Global.

The 100 companies selected were recognised for applying technology to real challenges across the insurance value chain. The panel looked in particular at how each solution helps insurers become more efficient and data-driven in a fast-moving market.

The timing reflects a broader shift. AI and automation are moving from experimentation into production across the industry, and InsurTechs now play a central role in helping insurers modernise legacy processes.

Why risk knowledge matters more than ever

Risk drives the financial results of (re)insurers and brokers, yet much of it is still managed after the fact. For decades, a relatively stable macroeconomic environment made that approach survivable. Since 2020, successive shocks have shown that anticipation has become a condition for performance.

The knowledge needed to anticipate usually already exists inside these firms. It sits in reinsurance contracts, policy wordings, expert reports and claims files, scattered across teams and rarely connected. When exposure has to be sized quickly after a geopolitical event, or when an emerging liability first appears in claims, that knowledge is hard to reach in time.

Many AI tools have focused on individual efficiency gains. We believe the bigger opportunity lies in giving underwriting and claims teams a shared, continuously updated view of risk.

Building the risk intelligence OS

Since 2023, we have worked alongside (re)insurers and brokers to build an operating system for risk, one that connects detection, decision and control on a single engine.

  • Discover continuously reads documents and external data to detect weak signals as soon as they emerge.
  • Platform then turns these signals into agentic workflows that frame each decision and bring it to the right team.
  • Analyzer checks wordings against compliance and exposure requirements, and feeds what it learns back into the knowledge base.

Because every use case runs on the same foundation, each new deployment strengthens the others. Our proprietary insurance and risk taxonomies allow clients to onboard through configuration, with accuracy levels that generic models struggle to reach.

Thank you, and what comes next

This recognition belongs first to our clients and partners in France, the UK, Switzerland and Bermuda. Their trust and their demanding feedback shape our products every day. It also reflects the commitment of the whole Dylogy team, which brings together engineers, actuaries, and experts.

In the coming months, we will continue to expand internationally, with the UK as our first priority, and to extend the risk intelligence OS to new use cases across the (re)insurance value chain.

The full 2026 InsurTech100 list is available for free download at www.TheInsurTech100.com.

Domaine d'ApplicationBénéfices Clés grâce aux Graphes de Connaissances
PréventionIdentifier les causes racines communes à plusieurs sinistres pour proposer des actions préventives. Détecter les causes secondaires pour limiter la propagation des dommages.
TarificationProposer 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").
ProvisionnementComprendre les dynamiques d'évolution des pertes et identifier les causes qui, étonnamment, ne mènent à aucun coût, pour affiner les réserves financières.
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