The startup develops metadata discovery software that enhances data management for enterprise applications by providing streamlined access to complex metadata from ERP and CRM systems. This platform improves data governance and integration processes, enabling organizations to efficiently manage data assets while ensuring compliance and trust in their data initiatives.
Funding
$3.9M 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 organizations struggle with fragmented and inaccessible metadata across diverse enterprise systems like ERP and CRM, hindering effective data governance and integration. This complexity makes it difficult to efficiently manage data assets, understand data lineage, and ensure compliance with data regulations.
Solution
Sillwood Technologies offers AI and machine learning solutions, including the Neuphonic platform, to streamline metadata discovery and management for enterprise applications. The company specializes in helping organizations understand how AI impacts their business, products, and productivity, defining AI and technology strategies for both large and small firms. Sillwood Technologies also assists with AI deployment and infrastructure, evaluating AI systems and deploying cost-efficient AI systems into cloud-native and on-premise settings. Furthermore, they provide research and development services, continuously exploring the latest AI technologies with a focus on speech and natural language processing to integrate AI capabilities into their clients' products.
Target Audience
The primary target audience includes organizations across various sectors, such as healthcare, entertainment, financial services, and logistics, seeking to leverage AI and machine learning to improve efficiency, productivity, and data management.
Features
- Neuphonic AI platform for building and deploying AI systems.
- AI discovery and roadmap services to define AI strategy.
- AI deployment and infrastructure services for cloud-native and on-premise environments.
- Research and development in speech and natural language processing.