DEEPLOY
Deeploy makes ML deployments accountable by giving explainable AI (XAI) a central place in ML operations (MLOps). Giving humans the power to understand what models are doing and correct automated decisions. These core features make sure to make your AI systems truly accountable.
DEEPLOY
Industry:
Artificial Intelligence Information Technology Machine Learning Software
Founded:
2019-01-01
Website Url:
http://www.deeploy.ml
Status:
Active
Email Addresses:
[email protected]
Total Funding:
2 M EUR
Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible Google Font API Google Analytics Apple Mobile Web Clips Icon Google Tag Manager WordPress Content Delivery Network Google Universal Analytics Global Site Tag
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Investors List
Curiosity VC
Curiosity VC investment in Seed Round - Deeploy
Official Site Inspections
http://www.deeploy.ml
- Host name: 224.205.214.35.bc.googleusercontent.com
- IP address: 35.214.205.224
- Location: Mountain View United States
- Latitude: 37.4043
- Longitude: -122.0748
- Metro Code: 807
- Timezone: America/Los_Angeles
- Postal: 94043
More informations about "Deeploy"
Company - Deeploy
Onboard any AI model with Deeploy. October 18, 2024. Maximizing AI value by managing risks. August 12, 2024. Linkedin Youtube Gitlab Meetup. Features. Deployment & Integration; …See details»
Governance & Compliance - Deeploy
Deeploy gives you the control, accountability, and oversight you need to stay compliant with regulations like the EU AI Act with ease. Start Deploying. ... Get a clear view of all AI models …See details»
Introduction | Deeploy Docs
Welcome to the Deeploy documentation! The documentation is organised to both get you started as a beginner and answer more advanced questions. Deeploy is MLOps software focused on …See details»
Deeploy - LinkedIn
Deeploy Machine Learning Software Deeploy simplifies the deployment and governance of your ML & AI models, ensuring transparency, explainability, and full compliance with regulations such as the ...See details»
Deployment to Monitoring: Deeploy’s fit into the MLOps Lifecycle
Oct 5, 2023 In the ever-evolving and complex regulatory landscape, Deeploy helps organizations ensure transparent, accurate, fair, and reliable ML models over time, making …See details»
Deeploy - Crunchbase Company Profile & Funding
Jan 18, 2022 Deeploy makes ML deployments accountable by giving explainable AI (XAI) a central place in ML operations (MLOps). Giving humans the power to understand what models …See details»
Tutorials | Deeploy Docs
Explore the core functionalities of Deeploy. Take a quick walkthrough of the deployment overview, deployment details and how to update a deployment. Further more, explore the monitoring …See details»
How Deeploy gives XAI a central place in MLOps
With the hype around GenAI reaching a fever pitch, Deeploy sees XAI truly becoming a central place in ML operations. “People are starting to recognise the risks of AI and realise that control and transparency are essential for its …See details»
How leading financials apply AI responsible | by Deeploy - Medium
Oct 5, 2023 Furthermore, Deeploy allows for the collection of feedback from stakeholders and end users of the AI models, allowing that information to be used in a feedback loop system for …See details»
Onboard any AI model with Deeploy - Deeploy
Oct 18, 2024 Managing models across different platforms and teams doesn’t have to be complex. With Deeploy, any model, whether hosted externally or still in development, can be …See details»
Deeploy - The Org
Deeploy makes ML deployments accountable by giving explainable AI (XAI) a central place in ML operations (MLOps) Industries. AI/ML, Information Technology +1. Employees. 11-50. Links.See details»
How the challenges of LLMOps can be solved | by Deeploy
Nov 6, 2023 Unauthorized access, data breaches, or mishandling of sensitive data can have severe legal, reputational, and financial implications for the organization. Solution: Deeploy …See details»
Quickstart | Deeploy Docs - docs.deeploy.ml
Navigate to an existing Workspace or create a new one; Navigate to Repositories and click Add.Copy the HTTPS path from the Scikit-learn census example Git repository into the …See details»
Trustworthy AI for Pensions - Deeploy
Deeploy provides a single platform to deploy, serve, monitor, and manage all AI models across an organization, saving time and resources. By consolidating models into one system, teams can …See details»
Examples | Deeploy Docs
A collection of public example repositories is available for use with Deeploy, allowing you to deploy models, explainers, and transformers, or to serve as a foundation for your own …See details»
Deeploy raises €1M in its first funding round for further …
Jan 18, 2022 The funding raised will be used for further software development aimed at serving large enterprise customers and building a professional sales organization in preparation for …See details»
deeploy-ml/deeploy: Installation files for Deeploy Core - GitHub
Installation files for Deeploy Core. Contribute to deeploy-ml/deeploy development by creating an account on GitHub.See details»
Repository requirements | Deeploy Docs
Before linking your repository to Deeploy, ensure it meets the following requirements: Follows the repository contract; Contains a folder named 'model' that includes one of the following files: …See details»
Solving the challenges of LLMOps - Deeploy
Oct 26, 2023 It is important to consider what makes (open-source) LLMs different from other machine learning (ML) models when it comes to putting them into production (MLOps) and …See details»