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Founded Year

2012

Stage

Unattributed VC | Alive

Total Raised

$7.02M

Last Raised

$7.02M | 3 yrs ago

Mosaic Score

+20 points in the past 30 days

What is a Mosaic Score?
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

About Montoux

Montoux provides pricing transformation for life insurance carriers, allowing them to respond easily to fast-changing market dynamics, while also improving their profitability and sales. The company's application's integrated modules allow life insurers to combine pricing, competitive analysis, elasticity analysis and price optimization in one reliable, easy to use application. With Montoux, product and pricing teams can perform highly detailed, segmented analysis of their key pricing metrics in a fraction of the time they could before, with greater results.

Montoux Headquarters Location

135 E 57th St,

New York, New York, 10022,

United States

646-204-1932

ESPs containing Montoux

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTHMARKET STRENGTHLEADERHIGHFLIEROUTPERFORMERCHALLENGER
Insurance / Life Insurance Tech

Predictive analytics uses statistical modeling and artificial intelligence methods to complement the actuarial approach, offering a more forward-looking view. Tech solutions in this market serve specific insurance use cases, such as pricing or portfolio optimization. These solutions cater to underwriters looking for a plug-and-play predictive analytics platform.

Montoux named as Challenger among 7 other companies, including dacadoo, Gradient AI, and Atidot.

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Montoux's Products & Differentiation

See Montoux's products and how their products differentiate from alternatives and competitors

  • Pricing workbench module

    Montoux’s pricing workbench module enables life and health insurers to price more efficiently and achieve better outcomes for shareholders and customers. Users can quickly analyze pricing scenarios in granular detail, understand price elasticities of products and determine optimal pricing strategies for new and in-force customers while maximizing sales or underlying value metrics.

    Differentiation

    Built specifically for life and health insurance pricing. 

    Automates frequent pricing scenarios. 

    Harnesses AI to truly determine optimal rate settings for both new business and in-force blocks. 

    Easily visualizes competitor pricing and relative market position. 

    Quickly assesses different pricing strategies and their impact. 

    In-built price-to-sales and price-to-lapse elasticity analysis. 

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    Differentiation

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    Differentiation

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    Differentiation

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Expert Collections containing Montoux

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Montoux is included in 1 Expert Collection, including Insurtech.

I

Insurtech

2,561 items

Companies and startups that use of technology to improve core and ancillary insurance operations. Companies in this collection are creating new product architectures, improving underwriting models, accelerating claims and creating a better customer experience

Latest Montoux News

Montoux Leverages AWS To Develop Machine Learning Technology To Accelerate Actuarial Model Cloud Migration

Dec 15, 2021

Share Montoux has leveraged Amazon Web Services (AWS) to develop groundbreaking technology to migrate actuarial models from previous generation actuarial systems through the use of high performance computing and the application of deep learning algorithms. This reduces a 6–12-month actuarial process to days. The technology only requires inputs and outputs from the legacy model and does not require in-depth knowledge from the model that needs to be migrated – reducing adoption costs and time. More granular and accurate understanding of customers, enabling more customer-centric products and services Increased utility of the actuarial model data by migrating it to a built-for-the-cloud platform, enabling real-time decision making around customer lifetime value to materially improve in force or new business value metrics Glenn Hoffman, New York Life’s Chief Analytics Officer, said about the Montoux value proposition: “Migrating off legacy systems enables insurers to improve their ability to leverage data and technology to consider different scenarios and improve decision making. Technology advancements like the relationship between AWS and Montoux will help the industry to push forward and modernize.” Chad Hersh, AWS Global Strategy Lead for Life Insurance, said: “Our insurer customers often articulate the need for new and differentiated products, and the need to rethink pricing and profitability of existing business. Actuaries typically need to be able to run models more frequently and at a lower cost per run in order to develop unique products at a faster pace. A modern, cloud-based actuarial platform like Montoux running on AWS can help those customers greatly improve the number of model runs they can do, while a deep learning migration tool can help them get to that modern platform faster with reduced cost and risk.” Related Posts Montoux’s Co-Founder and Chief Product Officer  Klaas Stijnen  said the following about the relationship: “Life and health insurance executives all over the world have told us clearly and consistently that they are dissatisfied with the speed, resource intensity, and cost of their existing actuarial technology. We’re excited about the opportunity to deploy our platform to move both the industry and actuarial profession forward, and we’re delighted to have worked with AWS on the development of this transformative model migration technology.” Life and health insurers around the world are on the journey towards cloud-enabled digital transformation, and at the heart of this journey are actuarial models, the core means of calculating and reporting customer value. These models are often stored in on-premises systems, hindering the ability of the insurer to quickly connect the model to high-quality internal and external datasets. This substantially reduces the insurer’s opportunity to use the actuarial model data, to the detriment of the insurer and its customers. Migrating actuarial models to modern, cloud-based technology allows life and health insurers to develop more customer-centric products and services. Furthermore, it provides a substantial opportunity to improve shareholder value through the shifting of cost from legacy on-premises systems to elastic and scalable cloud infrastructure.

Montoux Web Traffic

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  • When was Montoux founded?

    Montoux was founded in 2012.

  • Where is Montoux's headquarters?

    Montoux's headquarters is located at 135 E 57th St,, New York.

  • What is Montoux's latest funding round?

    Montoux's latest funding round is Unattributed VC.

  • How much did Montoux raise?

    Montoux raised a total of $7.02M.

  • Who are the investors of Montoux?

    Investors of Montoux include ICE Angels, NZ Growth Capital Partners, K1W1, Angel HQ and Zino Ventures.

  • Who are Montoux's competitors?

    Competitors of Montoux include Planck, Assured Allies, Zesty.ai, Artificial Labs, Chisel AI, App Orchid, Carpe Data, Squirro, Micruity, Verikai and 49 more.

  • What products does Montoux offer?

    Montoux's products include Pricing workbench module and 3 more.

  • Who are Montoux's customers?

    Customers of Montoux include CNO Financial, Cigna (Hong Kong and New Zealand) and AIA (Australia).

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