
Qomel
AI-powered tool for intelligent data interaction.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
* | SAR52.0m | Post IPO Debt | |
Total Funding | 000k |
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Qomel is developing an artificial intelligence platform designed to enable users to interact with their data through natural language. The service, currently in a beta phase and accessible via a waitlist, aims to provide intelligent answers and insights from various data sources. The platform is engineered to connect to a user's existing tools and data, allowing for conversational queries to retrieve information and analysis. The core functionality revolves around an AI that understands context and user intent to deliver relevant results, effectively acting as a data-savvy assistant.
The company was founded in March 2024 by Jonathan Maim and Tom Granot. Both founders bring a strong technical background to the venture. Maim, the CEO, previously worked as a Senior Engineering Manager at Google, where he led the Core Developer and Duet AI in Drive teams. His experience at Google since 2013 includes roles in Search and AI, providing him with deep expertise in building large-scale intelligent systems. Granot, the CTO, also comes from a senior engineering role at Google, where he was a Staff Software Engineer. His focus areas included Google Drive and Duet AI, and he has been recognized as a Google Founders' Award recipient. Their collective experience in AI and core product development at a major tech corporation like Google directly informs Qomel's product strategy.
The business model, while not explicitly detailed due to its early stage, appears to be oriented towards a B2B SaaS model, targeting businesses and professionals who need to quickly derive insights from their operational data without extensive technical skills. By allowing users to "talk to their data," Qomel aims to democratize data analysis and enhance productivity within organizations.
Keywords: data analysis, artificial intelligence, natural language query, business intelligence, data interaction, AI assistant, SaaS, data insights, enterprise AI, conversational AI