
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.
Date | Investors | Amount | Round |
---|---|---|---|
investor investor | €0.0 | round | |
investor | €0.0 | round | |
* | $15.0m | Growth Equity VC | |
Total Funding | 000k |
USD | 2018 | 2019 | 2020 | 2021 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | 90 % | 9 % | 28 % |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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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