K2view

K2view

Leverage your data to become as agile as possible. The K2View platform creates and manages a trusted dataset for every business entity – in real time.

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DateInvestorsAmountRound
investor investor

€0.0

round
investor

€0.0

round
*

$15.0m

Growth Equity VC
Total Funding000k

Financials

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Revenues, earnings & profits over time
USD2018201920202021
Revenues0000000000000000
% growth-90 %9 %28 %
EBITDA0000000000000000
Profit0000000000000000
EV0000000000000000
EV / revenue00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x
R&D budget0000000000000000

Source: Dealroom estimates

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More about K2view
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K2view, founded in 2009 by Achi Rotem and Rafi Cohen, operates in the data management and integration sector. The company is headquartered in Yokne'am Illit, Israel, with a significant presence in Dallas, Texas. The founders' journey began with a shared vision to simplify complex data environments, drawing from their extensive experience in the IT and data industries. Achi Rotem, the CEO, previously held leadership roles at established tech firms, a background that has been instrumental in shaping K2view's product strategy and go-to-market approach.

The firm's core offering is a data product platform designed to create a trusted data layer for large enterprises. This platform addresses the challenge of fragmented data by creating a holistic, real-time view of any business entity, such as a customer or a product, by integrating data from all underlying source systems. It accomplishes this by managing data in micro-databases, with each one containing all the data for a specific business entity. This architectural approach allows for rapid data access, processing, and delivery, which is critical for operational and analytical workloads. The business model targets large-scale organizations, with notable clients including AT&T, Verizon, and Charles Schwab, indicating a strong focus on the telecommunications and financial services industries.

K2view's platform supports a variety of use cases, from cloud migration and test data management to preparing data for artificial intelligence applications like Retrieval-Augmented Generation (RAG). It generates revenue through software licensing and services associated with its platform. A key differentiator is its patented technology that organizes data by business entity, enabling organizations to treat data as a reusable product. This methodology contrasts with traditional project-based data integration, offering a more agile and scalable solution. The platform ensures data is protected, complete, and readily accessible, thereby accelerating digital transformation initiatives and improving operational efficiency for its clients.

Keywords: data product platform, data management, data integration, micro-database, test data management, data fabric, cloud migration, AI-ready data, entity-based data, synthetic data generation

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