
Tooso
Any e-commerce website with advanced on-site search and dynamic behavioral analytics.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | Acquisition | ||
Total Funding | 000k |





EUR | 2017 | 2018 | 2019 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 414 % | (64 %) |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
% profit margin | - | - | 19 % |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Company filings or news article
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Tooso Inc., now part of Coveo, specializes in transforming eCommerce search into a personalized and interactive experience using artificial intelligence (AI). The company operates in the digital retail market, primarily serving online retailers and eCommerce platforms. Tooso's core product is an AI-powered search engine that enhances user experience by asking relevant questions and guiding customers to the products they want to buy. This technology supports both text and voice search, making it versatile across various devices.
Tooso's business model revolves around providing software-as-a-service (SaaS) solutions to its clients. The company generates revenue through subscription fees for its AI-driven search platform. By automating search maintenance and learning from customer behavior and shopping history, Tooso helps businesses increase their conversion rates by up to 20%. The platform also allows customers to describe products by various attributes such as brand, color, material, style, and occasion, making the search process more intuitive and efficient.
Tooso's leadership team includes experts with advanced degrees in linguistics, neuroscience, and data science, ensuring that the company's technology is both cutting-edge and scientifically grounded.
Keywords: AI-driven search, eCommerce, personalized experience, interactive search, SaaS, conversion optimization, voice search, customer behavior, digital retail, product discovery.