Sold by: Deeploy
Deployed on AWS
Deeploy provides the foundation to deploy and manage AI responsibly, offering the visibility, control, and assurance needed to keep systems reliable and compliant. The platform integrates seamlessly with your AWS environment, unifying data science, engineering, and compliance teams around a single source of truth for AI operations.
4.7
Overview
As organizations scale their AI efforts, governance, transparency, and accountability become essential. Deeploy provides the foundation to deploy and manage AI responsibly, offering the visibility, control, and assurance needed to keep systems reliable and compliant. The platform integrates seamlessly with your AWS environment, unifying data science, engineering, and compliance teams around a single source of truth for AI operations.
Onboard any AI and manage them under one roof: Deeploy centralizes all your AI systems: internal and external AI Systems, ML models, LLMs or AI Agents, regardless of where they run or how they are built. Enabling full oversight without forcing migrations or workflow changes.
Establish robust AI governance: Deeploy enforces consistent validation, documentation, and oversight across all AI systems. Governance standards become embedded in daily workflows, ensuring responsible development and deployment without slowing innovation.
Catch issues before they become liabilities: With real-time monitoring, performance tracking, drift detection, and instant explanations for every prediction, Deeploy ensures AI systems behave as expected. Live dashboards and alerts help teams identify issues early and prevent user impact as data, context, or model behavior shifts.
Close the loop between people and AI: Deeploy enables experts to review and correct AI outcomes, capturing their feedback and highlighting cases where human and AI judgments diverge. This continuous feedback loop improves reliability and strengthens alignment between AI behavior and real-world expertise.
Ensure transparency and traceability: Every model version, data flow, and decision is fully traceable and explainable. Deeploy offers clear auditability and reproducibility, making it easier to maintain trust and meet reporting requirements across teams and stakeholders.
By combining explainability, monitoring, and structured oversight, Deeploy helps organizations stay compliant with evolving regulations such as the EU AI Act or ISO42001. The platform provides the clarity and control needed to operate AI safely and with confidence.
Highlights
- Onboard any AI and manage them under one roof: Deeploy centralizes all your AI systems: internal and external AI Systems, ML models, LLMs or AI Agents, regardless of where they run or how they are built. Enabling full oversight without forcing migrations or workflow changes.
- Establish robust AI governance: Deeploy enforces consistent validation, documentation, and oversight across all AI systems. Governance standards become embedded in daily workflows, ensuring responsible development and deployment without slowing innovation.
- Ensure transparency and traceability: Every model version, data flow, and decision is fully traceable and explainable. Deeploy offers clear auditability and reproducibility, making it easier to maintain trust and meet reporting requirements across teams and stakeholders.
Details
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Delivery method
Supported services
Delivery option
Main Installation
Latest version
Operating system
Linux
Deployed on AWS
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on a fixed subscription cost. You pay the same amount each billing period for unlimited usage of the product. Pricing is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
- Monthly subscription
- $1,350.00/month
Vendor refund policy
no refunds, but free to cancel anytime
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Main Installation
Supported services: Learn more
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Additional details
Usage instructions
The general installation steps are as follows:
- Make sure to follow the installation steps as described here: https://deeploy-ml.zendesk.com/hc/en-150/sections/360005072760-AWS-EKS-Installation (start at step 2, since you already subscribed to the marketplace listing)
- Install the Deeploy software requirements and helm chart. Use the Deeploy helm chart repository and follow the instructions in the README: https://gitlab.com/deeploy-ml/deeploy-core
Resources
Vendor resources
Support
Vendor support
Default community support is included. Additional support and SLA are available on request: sales@deeploy.ml
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Deeploy
By Iguazio
By Comet ML
Top
10
In Human Review Services, High Performance Computing, ML Solutions
Top
10
In Feature Engineering, ML Solutions
Top
50
In Computer Vision
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Centralized AI System Management
Centralizes internal and external AI systems, ML models, LLMs, and AI agents regardless of deployment location or build methodology, enabling unified oversight without requiring migrations or workflow modifications.
AI Governance Framework
Enforces consistent validation, documentation, and oversight across all AI systems with governance standards embedded in daily workflows.
Real-time Monitoring and Drift Detection
Provides real-time monitoring, performance tracking, drift detection, and instant explanations for predictions with live dashboards and alerts to identify issues early.
Model Explainability and Auditability
Offers full traceability and explainability of model versions, data flows, and decisions with clear auditability and reproducibility for audit and compliance reporting.
Human-in-the-Loop Feedback System
Enables expert review and correction of AI outcomes with continuous feedback capture to highlight divergences between human and AI judgments for improved reliability.
Automated Deployment and Scaling
Full automation and auto-scaling capabilities for moving AI projects from proof-of-concept to production environments
Model Fine-tuning Capabilities
Support for responsible model customization using RAG (Retrieval-Augmented Generation) and RAFT techniques to improve model accuracy and performance
GPU Resource Optimization
Dynamic GPU resource provisioning with scaling capabilities to optimize resource utilization across different deployment environments
Governance and Monitoring
Built-in governance frameworks, guardrails and monitoring systems for managing ML and GenAI applications in production
Multi-environment Deployment
Support for deploying workloads across multiple environments including AWS GovCloud, on-premises and hybrid infrastructure configurations
Experiment Tracking and Management
Automatic tracking of code, hyperparameters, metrics, and training run data with capability to compare and reproduce training runs in real time.
Model Registry and Deployment Management
Model Registry functionality to track models ready for deployment with full lineage integration from training to production and deployment triggering capabilities.
Production Monitoring and Drift Detection
Production model monitoring with drift detection and accuracy metric tracking using baselines automatically pulled from training runs.
Dataset and Artifact Versioning
Tracking and versioning of datasets and artifacts throughout the machine learning lifecycle.
Custom Visualization and Interactive Dashboards
Capability to build tailored, interactive visualizations for analyzing and managing machine learning experiments and models.
Standard contract
No
No
Customer reviews
Information Technology and Services
Simplified deployment and monitoring of ML models
Reviewed on Nov 24, 2023
Review provided by G2
What do you like best about the product?
Ease of use and intuitive flow allows team members with limited engineering knowledge to deploy and then monitor ML models in production.
What do you dislike about the product?
Error messaging has been quite uninformative in some cases, but I have to admit that this has improved in recent updates.
What problems is the product solving and how is that benefiting you?
Deeploy speeds up deployment and monitoring of models, especially in a data team with limited capacity (FTE) and engineering knowledge.
Computer Software
Useful and responsible tool
Reviewed on Nov 16, 2023
Review provided by G2
What do you like best about the product?
Deeploy has increased productivity as my data science team can now deploy all models in the same place, which allows us to better manage models and monitor their performance. But what really sets it apart is the possibilities it brings for explainability and the use of human feedback.
What do you dislike about the product?
The documentation was still a bit limited
What problems is the product solving and how is that benefiting you?
Ease od deploying and explainability feature that was out-of-the-box
Computer Software
Combining MLOps, explainability and AI governance
Reviewed on Sep 18, 2023
Review provided by G2
What do you like best about the product?
The ease to deploy an AI model, with out-of-the-box explainability and the necessary governance & compliance tools and monitoring functionalities. It also runs smoothly on both Azure and AWS, when working with our customers.
What do you dislike about the product?
We're waiting on a few more integrations.
What problems is the product solving and how is that benefiting you?
Stay in control (governance / compliance)
Provide transparency
Provide trust to end users
Model deployment & updates
Monitoring
Provide transparency
Provide trust to end users
Model deployment & updates
Monitoring