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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of Insaas Vector Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Nuernberger Insurance Banking and Financial Services 4362 $2.8B Germany Insaas Insaas Vector Customer Analytics 2023 n/a
In 2023, Nuernberger Insurance deployed Insaas Vector in the Customer Analytics category to support market and broker analytics across its German distribution channels. The implementation focused on enabling data driven market research and broker and agent analytics to improve distribution visibility and sales intelligence. Insaas Vector was used to augment broker lists and generate actionable sales intelligence, combining market research capabilities with customer insight workflows. The Customer Analytics deployment emphasized broker list augmentation, market segmentation and sales enablement data flows consistent with customer analytics functional patterns. Journal reporting identifies Nuernberger Insurance as a named customer of Insaas, and public articles indicate the insurer engaged Insaas market research and customer analytics capabilities to augment broker lists and derive actionable sales intelligence, although detailed implementation timelines were not published. Operational scope described in reporting centers on distribution and broker networks in Germany, supporting distribution managers, sales teams and channel analytics functions. Governance and rollout specifics were not disclosed in public sources, and no implementation partner was listed in available reporting. The narrative positions Nuernberger Insurance, Insaas Vector, Customer Analytics as a strategic capability for distribution and customer insight rather than a disclosed program of record with published timelines.
Rheinland Versicherungsgruppe Germany Insurance 898 $1.0B Germany Insaas Insaas Vector Customer Analytics 2022 n/a
In 2022, Rheinland Versicherungsgruppe implemented Insaas Vector as a Customer Analytics application to instrument and analyze its broker network in Germany. The deployment was delivered by Insaas in collaboration with the insurer's rhion.digital business unit and focused on broker and distribution analytics. The core implementation centered on a KI-driven broker insights dashboard, combining an interactive Makler:innen Map with real time analytics and network segmentation capabilities to surface recruiting and regional performance signals. Insaas Vector provided analytics workflows for broker scoring, territory visualization, and event driven monitoring to support sales targeting and recruitment prioritization. Operational scope covered the insurer's sales and distribution functions across Germany, with regional sales managers and network management teams identified as primary users for planning recruiting and outreach. The implementation emphasized data visualization, automated alerting, and role based access to align analytics consumption with distribution workflows. Governance and external collaboration were formalized through InsurLab Germany’s Collaboration Champion activities, which featured the project and underscored iterative validation of the model outputs. The insurer will use Insaas Vector Customer Analytics outputs to improve recruiting and regional sales targeting.
VAUDE Sport Manufacturing 1600 $127M Germany Insaas Insaas Vector Customer Analytics 2021 n/a
In 2021, VAUDE Sport implemented Insaas Vector for Customer Analytics to centralize market and customer feedback analysis for product management and marketing in Germany. The deployment focused on ingesting public online reviews and direct customer feedback to create an enterprise view of sentiment and emerging product topics. Configuration emphasized text analytics, sentiment classification, thematic trend extraction and dashboarding to surface signals such as sustainability concerns and product performance. Insaas Vector analyzed online reviews and feedback to surface trends and linked those insights into VAUDE Sport's product and ERP data so product teams could act faster on customer signals. Operational coverage targeted product management and marketing teams with insight workflows that fed into product planning and marketing campaign decisions. Governance introduced structured insight handoffs to product owners and marketers, embedding the Customer Analytics output into regular product development and marketing review cycles.
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FAQ - APPS RUN THE WORLD Insaas Vector Coverage

Insaas Vector is a Customer Analytics solution from Insaas.

Companies worldwide use Insaas Vector, from small firms to large enterprises across 21+ industries.

Organizations such as Nuernberger Insurance, Rheinland Versicherungsgruppe Germany and VAUDE Sport are recorded users of Insaas Vector for Customer Analytics.

Companies using Insaas Vector are most concentrated in Banking and Financial Services, Insurance and Manufacturing, with adoption spanning over 21 industries.

Companies using Insaas Vector are most concentrated in Germany, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Insaas Vector across Americas, EMEA, and APAC.

Companies using Insaas Vector range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 66.67%, and global enterprises with 10,000+ employees - 0%.

Customers of Insaas Vector include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Insaas Vector customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Customer Analytics.