Narrativa
Financials
Estimates*
USD | 2022 | 2023 |
---|---|---|
Revenues | 2.8m | 2.8m |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
€40.0k | Seed | ||
€120k | Seed | ||
N/A | $50.0k | Seed | |
N/A | Support Program | ||
$700k | Seed | ||
N/A | $920k | Seed | |
$20.0k | Grant | ||
* | N/A | $1.3m | Seed |
N/A | €500k | Early VC | |
Total Funding | CAD5.1m |
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Recent News about Narrativa
EditNarrativa is a technology company specializing in Natural Language Generation (NLG) solutions. The company's core product, Gabriele, is a machine learning-based artificial intelligence platform designed to automate content creation, optimize business processes, and enhance operational efficiency. Narrativa serves a diverse range of clients, including pharmaceutical companies, biotech firms, and large corporations like Microsoft. The company operates in the artificial intelligence and data analytics market, providing tailored solutions that transform complex data into easily understandable natural language content.
Narrativa's business model revolves around offering its NLG platform as a service, enabling clients to automate various content-related tasks such as regulatory reporting, long-tail content creation, and customer interactions. The company generates revenue through subscription fees for its platform and customized solutions for specific client needs.
In the pharmaceutical sector, Narrativa's technology helps automate the eCTD (electronic Common Technical Document) filing process, improving efficiency and accuracy. For media companies like Microsoft, Narrativa enables the creation of long-tail content, allowing them to serve more stories without significantly increasing costs. The platform also supports real-time data analysis, identifying relevant insights and converting them into natural language, which is particularly beneficial for financial companies dealing with data overload.
Keywords: Natural Language Generation, AI Platform, Content Automation, Process Optimization, Pharmaceutical Reporting, Data Analytics, Machine Learning, Regulatory Compliance, Long-tail Content, Real-time Insights.