Retrieva develops machine learning-based software solutions that support businesses in executing AI projects, including the implementation of Retrieval-Augmented Generation (RAG) systems and the construction of embedding models. The company addresses the challenges organizations face in effectively utilizing AI technologies by providing tailored technical expertise and comprehensive project support.
Funding
$13.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many businesses struggle to effectively implement and manage AI projects, particularly those involving Retrieval-Augmented Generation (RAG) systems and the creation of embedding models. This often results in underutilization of AI technologies and failure to achieve desired outcomes.
Solution
Retrieva offers machine learning-based software solutions and comprehensive support services designed to help businesses successfully execute AI projects. The company specializes in providing tailored technical expertise for the implementation of RAG systems and the construction of embedding models. By offering end-to-end support, Retrieva enables organizations to overcome the challenges associated with AI adoption and maximize the value derived from these technologies. Their solutions are designed to be customer-centric, focusing on delivering practical and effective AI applications.
Target Audience
Retrieva's primary customers are businesses across various industries looking to leverage AI technologies, particularly RAG systems and embedding models, to improve their operations and decision-making processes.
Features
- Expertise in Retrieval-Augmented Generation (RAG) system implementation.
- Development and construction of custom embedding models.
- Comprehensive AI project support, from initial consultation to deployment.
- Tailored solutions designed to address specific business challenges.
- Customer-centric approach focused on delivering practical AI applications.