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Insurance
5 min. de lecture —
Feb 17, 2026

Press Release: French startup Novaa Tech becomes Dylogy and raises €1.2M to help insurers better process their documents and risks

Written by
Aurélien Couloumy

Dylogy unveils its new identity and announces a €1.2M pre-seed funding round, with the participation of Convex Group, HUB612, Mindstone, Lya Protect and Uchal.

This funding will enable the young startup to accelerate the deployment of its generative AI services and scale its platform dedicated to insurers, reinsurers and brokers.

In 2023, drawing on their combined expertise in AI and actuarial science, Aurélien Couloumy, Julien Crespy and Loris Chiapparo founded Dylogy and joined the HUB612 accelerator to support its development. Their years of experience in the insurance sector led them to a clear observation: the continuous increase in the volume of insurance documents*, combined with limited expert resources, constrained budgets, increased regulation and the emergence of new risks, represents a major challenge for industry players.

Insurance professionals no longer have the time to read all the information they receive or produce. This imbalance can have significant financial consequences** and create a substantial competitive disadvantage.

Dylogy helps insurance players systematise document governance — meaning the ability to process any type of document, capture and aggregate essential data, standardise and control it — in order to ensure informed decision-making and proactive information monitoring.

“The need for in-depth analysis leaves many insurance organisations with blind spots. Major risks remain undetected, some amounting to several million euros** (fines, technical losses, litigation…). Beyond risks, valuable business opportunities can also be missed.”
— Aurélien Couloumy, CEO of Dylogy

Bridging the gap between words and numbers for enhanced risk management

Insurance players primarily rely on statistical methods and structured numerical data to analyse risks or define offerings. Yet this overlooks the fundamental role of text and semantics. Across the entire value chain — from underwriting to claims settlement — information is overwhelmingly produced and conveyed in natural language***.

Even when such information is taken into account, numerous issues persist: ambiguities, inconsistencies, lack of standardisation, missing links between data, and gaps in understanding.

It is therefore essential for insurers to interpret and control words in order to ensure efficiency and clarity.

This is the challenge Dylogy addresses by providing its clients with a set of tools designed for controlled and sustainable management of their documents and activities. Thanks to its generative AI services, the platform can, for example, assign an overall risk score to each document based on underlying risk factors.

“By fully leveraging generative AI, we reveal the risks hidden behind words and drive pragmatic action through data. In doing so, we bridge the gap between two logics: textual and numerical. This is the essence of Dylogy. It’s not just about automation, but about making activities more efficient, reliable and optimised, with no added complexity for users.”
— Aurélien Couloumy, CEO of Dylogy

Combining generative AI and insurance expertise: a proven model

Through collaborations with various insurance organisations, Dylogy has already developed multiple high-value use cases within its platform. Its technology radically transforms insurance operations.

Dylogy customers highlight the value of the platform, which enables them to:

  • Save time by significantly reducing resources dedicated to tedious and time-consuming processes;
  • Strengthen governance by greatly improving data quality and reducing the costs associated with compliance and data structuring;
  • Scale operations by smoothing activity peaks and directing teams toward the most value-creating actions for the business or the customer;
  • Reduce losses by controlling risk exposure, improving technical results and overall profitability.

“Dylogy’s expertise has greatly impressed us. Their team has an excellent understanding of our industry and delivers solutions truly tailored to our needs. Together, we deployed an effective tool combining Convex’s underwriting expertise with Dylogy’s technical capabilities. The platform reduced contract processing time by 45 minutes while improving portfolio management. This strategic partnership truly makes a difference.”
— Waswate Ayana, Mission Lead at Convex Group

“Dylogy is the story of a great encounter. They quickly became a strategic partner in our innovation journey. From early data science work to concrete LLM use cases, their tailored approach enabled us to identify and resolve challenges quickly. What truly sets them apart is their ability to immerse themselves in our operational reality, delivering solutions that go far beyond traditional consulting. In addition to their technical expertise, Dylogy brings a valuable human dimension to our collaboration.”
— Olivier Claeys, Digital Factory, Groupama Gan Vie

“Finally, a platform that allows insurers and reinsurers to do far more than simply classify documents. Dylogy helps automate document processing and transform raw data into actionable insights, while integrating seamlessly with our systems. It enables actuaries and pension administrators to focus on what truly matters. Dylogy is a real game changer for the insurance industry.”
— Jean-Baptiste Chalnot, CTO-CPO and co-founder of Gedeon

Dylogy: technological optimisation, innovation and strategic expansion

The funding raised in July 2024 will primarily support platform infrastructure improvements and AI-related R&D, with a strong focus on knowledge base generation, training and optimisation of large language models (LLMs).

The Dylogy team.

To support these ambitions, Dylogy is expanding its technical team by recruiting developers, researchers and AI engineers. This will enable the insurtech to deepen risk understanding and translate it into operational value.

“We are convinced that Dylogy will become a future leader in insurtech. The founders bring together a rare combination of artificial intelligence expertise and deep insurance industry knowledge. Their solution transforms operational efficiency by reducing document processing time and financial losses — a decisive advantage in this highly competitive and demanding market.”
— Maud Charaf, Managing Director of HUB612

“Dylogy aims to address innovative solutions across a key segment of the insurance risk value chain by combining deep business expertise with cutting-edge technologies. The founders’ ability to embody this expertise — including Aurélien, whom we know well — is a very positive factor for the success of the project.”
— Christophe Eberlé, Founder of Mindstone

* Examples include reinsurance treaties, technical studies, financial reports, claims statements, death certificates…
** Examples include up to €8M in regulatory fines related to dormant contracts in France, 40% technical variance linked to reserve underestimation or underwriting risk profiles, €300M in litigation related to business interruption clauses during COVID, or 5% of revenue impacted by penalties linked to sanctions violations.
*** Natural language refers to spoken or written human languages, as opposed to artificial languages (such as programming languages). In computing, Natural Language Processing (NLP) is a branch of artificial intelligence that enables machines to understand, interpret and generate human language.

About Dylogy

Founded in 2023, Dylogy (formerly Novaa Tech) is a French startup that helps insurers better process their documents and risks using generative AI. Founded by three engineers and actuaries from the insurance and technology sectors, Dylogy offers an innovative platform to process and analyse all types of documents, ensuring informed decision-making and proactive monitoring.

Labelled French Tech Seed since 2024, Dylogy also benefits from the French Tech Emergence grant for its Deeptech commitment, awarded by the Pouss@LYS consortium under the leadership of HUB612.

About Convex Group

Convex Group is an international insurer and reinsurer specialising in complex risks across a wide range of industries. The company brings together top talent, diverse perspectives and the financial independence of a strong balance sheet to deliver a fresh approach to business.

Founded by Stephen Catlin and Paul Brand, Convex operates from London, Bermuda, Luxembourg and New Jersey, and holds an “A” (Excellent) rating from A.M. Best and an “A-” rating with positive outlook from S&P.

About HUB612

Founded in 2016, HUB612 is an accelerator and investment fund supporting B2B Tech startups on their path to sustainable growth. A subsidiary of Caisse d’Épargne Rhône-Alpes, HUB612 focuses on Fintech, Insurtech and B2B SaaS. Since its creation, HUB612 has supported over 80 startups and invested in 23 of them.

About Mindstone

Mindstone is a single-family office founded in 2015 by French entrepreneur Christophe Eberlé, founder of Optimind, a risk management consultancy acquired by Accenture in 2023. Mindstone invests in performance-driven, technology-led companies with responsible and sustainable values, adopting an evergreen investment approach.

About Lya Protect

Lya Protect aims to become the leading insurtech accelerating the digitalisation of insurance distribution in France. Its CRM software, Lya Courtage, optimises customer management, sales and broker compliance. With Lya Tech, the company also provides tailored distribution solutions for large brokers and insurers, built on the Lya platform.

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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