Sold by: Dynamiq
Deployed on AWS
Operating platform for Generative AI applications. Complete development cycle from prototype through testing and evaluations to deployment. Intuitive visual no-code/low-code builder allows to create and deploy AI agents in matter of hours.
Overview
The Dynamiq Platform accelerates GenAI development by providing a unified environment for the entire application lifecycle and agentic AI-driven automation, with deployment options both on-premises/VPC and in the cloud. Key features include:
- No-Code/Low-Code Builder: A visual environment that lowers entry barriers, enabling rapid prototyping and testing with ready-to-use templates for RAG systems, agents, and multi-agent orchestration.
- Deployment, Monitoring & Evaluation: Dedicated modules for trace analysis and evaluation provide deep insights into interactions between LLMs, tools, and data sources, accelerating AI performance assessments.
- Fine-Tuning & Knowledge Base: A toolbox for streamlined data ingestion, model fine-tuning, and vector storage for RAG systems.
- Open-Source Agentic Framework: Published on GitHub under the Apache 2.0 license, it enhances transparency, simplifies integration with multiple AI vendors and open-source tools, and offers flexibility for agentic AI workflows.
Highlights
- WORKFLOWS - Build GenAI workflows with a low-code interface to automate tasks and optimize operations at scale.
- KNOWLEDGE BASES & RAG - Create custom RAG knowledge bases and deploy vector databases in minutes for faster access to critical data.
- AGENT OPS and OBSERVABILITY - Develop custom GenAI agents to solve tasks and integrate them seamlessly with internal APIs. Log all interactions and conduct large-scale evaluations to maintain LLM performance and reliability.
Details
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Delivery method
Supported services
Delivery option
Helm Chart Deployment
Latest version
Operating system
Linux
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
enterprise | Enterprise Plan - on demand pricing. Key features: Unlimited users; Unlimited deployed workflows; Unlimited RAG knowledge bases; Unlimited fine-tuned models; 3 fine-tuned LLM models; Unlimited workflow executions per month; 24/7 dedicated support; On-premise/VPC deployment; Custom SSO integration available | $100,000.00 |
Dimensions summary
This listing offers one option: the Enterprise Plan, billed as a contract with on-demand pricing. You pay based on usage rather than a fixed per-seat or per-workflow fee. The plan removes count limits, so you get unlimited users, deployed workflows, RAG knowledge bases, fine-tuned models, and monthly workflow executions. It includes 3 fine-tuned LLM models, 24/7 dedicated support, and on-premise or VPC deployment. Custom SSO integration is available. Because there are no usage caps built into the plan, your cost scales with the on-demand activity you generate.
Top-of-mind questions for buyers
You pay based on the activity you generate rather than a fixed per-seat or per-workflow fee. The plan sets no count limits on users, workflows, knowledge bases, or executions. Because usage is uncapped, your cost rises with the on-demand volume you run each month.
You deploy the platform inside your own virtual private cloud or on-premise infrastructure. Fine-tuning and LLM deployment happen within your VPC, so sensitive data stays on your premises. You retain control over data processing and can apply custom security measures and access controls.
You get unlimited fine-tuned models in general, plus 3 fine-tuned LLM models specifically included. Fine-tuning uses your proprietary datasets on open-source models, and the customized models remain your property. Deployed models scale automatically to support high request volumes within your infrastructure.
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Free tier allows for testing the product. Seller does not offer refund policy.
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Delivery details
Helm Chart Deployment
Supported services: Learn more
- Amazon EKS
Helm chart
Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
Version release notes
Initial release of Dynamiq GenAI Agentic Studio.
Additional details
Usage instructions
Detailed deployment instructions on AWS Kubernetes using Helm chart can be found in our documentation - https://docs.getdynamiq.ai/on-premise-deployment/aws
Resources
Vendor resources
Support
Vendor support
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.
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