Founder, Author, Speaker, Veteran
Skymind
10/10Traction
Skymind provides an enterprise machine learning platform built on the open-source deep learning framework Deeplearning4j, specifically designed for Java Virtual Machine (JVM) environments. The platform enables organizations to efficiently develop, deploy, and integrate machine learning models into their existing applications, addressing the challenge of bridging data science with software engineering.
- Artificial Intelligence
- Developer Tools
- Enterprise Software
- Software Only
Updated 22 months ago
Funding
Raised to date
$11.5MRaised 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.
Translink CapitalNo round attributed
- Source unavailable
Funding rounds are not available yet.
Founders
Product
Problem
Organizations face challenges in efficiently integrating machine learning (ML) models into enterprise applications due to the complexities of bridging data science with software engineering, particularly within Java Virtual Machine (JVM) environments. Existing solutions often lack the tools and infrastructure needed to streamline the development, deployment, and management of ML models.
Solution
Skymind provides an enterprise machine learning platform designed to simplify the integration of ML models into JVM-based enterprise applications. The platform offers a suite of tools that guide engineers through the entire workflow of building and deploying ML models, reducing overhead and automating decision-making processes. By leveraging Deeplearning4J, a popular deep learning library for Java, Skymind enables engineers to work within familiar languages and environments. The platform aims to bridge the gap between data science and software engineering, allowing organizations to efficiently meet the demand for machine learning functionality using their existing data, teams, and infrastructure.
Target Audience
Skymind targets product leaders and engineering teams within enterprises that require machine learning functionality integrated into their JVM-based applications.
Features
- End-to-end platform for building, training, and deploying ML models on JVM infrastructure
- Integration with Deeplearning4J, an open-source deep learning library for Java
- Tools for data ingestion, preprocessing, and feature engineering
- Model training and evaluation modules with hyperparameter optimization
- Scalable deployment options for integrating models into enterprise applications
- Real-time monitoring and performance analytics dashboards