Sold by: Artificial Genius
Deployed on AWS
Artificial Genius Orthix version 2 is a Non-Hallucinatory Agentic Unstructured Data Workflow Platform. It is designed to be easy to use for every department, to design their own workflows, that accurately deliver the right information to the right people at the right time, when it can make a commercial difference, producing ROI.
Overview
The Artificial Genius Orthix Unstructured Data Workflow Platform applies breakthrough proprietary non hallucinatory language model technology to provide enterprises with ROI on the unstructured data. Enterprises have a lot of valuable unstructured data which, if the accurate and relevant information hidden in it could be delivered to the right person at the right time, would create significant opportunities for sales, revenue, and other measurable commercial returns.
Version 2 of the platform adds sophisticated capabilities to transform the data during the execution of the workflow, without the need for a separate scripting language. Instead, by adding eager semantics to special Markdown links, the Orthix Markdown itself serves as a fully declarative functional language, with transparent if-then-else, recursion, and looping logic.
Highlights
- Focus on Reliability and Relevance
- Non-Hallucinatory Language Processing
- Platform Includes Full Agentic Harness
Details
Sold by
Delivery method
Supported services
Delivery option
Container Delivery
Latest version
Operating system
Linux
Deployed on AWS
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Features and programs
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. 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.
Dimension | Description | Cost/user/hour |
|---|---|---|
Per User Per Hour | Per User Per Hour Usage | $5.00 |
Vendor refund policy
Customers can request a refund of up to 5 business days of usage if the product does not meet their business requirements.
Legal
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Delivery details
Container Delivery
Supported services: Learn more
- Amazon ECS
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
Add no-cost metering record at container startup for Marketplace validation. Usage is only metered at cost while the container is actually running a workflow.
Additional details
Usage instructions
Platform Configuration
The Artificial Genius Orthix platform (version 2) is delivered as a container, for deployment in ECS, requiring access to the following resources:
Bedrock Runtime (port 8080): access Orthix non-hallucinatory language models. S3 (ports 80, 443): access unstructured data stores in S3 buckets. HTTP (ports 80, 443): access unstructured data on the Web.
Setup and Configuration
Detailed instructions for setup and configuration are included in the customer manual.
Running a Workflow
To run a workflow, the Orthix platform uses the standard container endpoint for Bedrock AgentCore agents is the REST endpoint /invocations on port 8080.
The POST input for the container endpoint is JSON with a 'prompt' field containing the PRD in Markdown format, and the output is JSON with a 'response' field containing a log of workflow actions.
The results of running the workflow are written to the Output server specified in the PRD.
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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