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    Artificial Genius Orthix version 2

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    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

    Delivery method

    Supported services

    Delivery option
    Container Delivery

    Latest version

    Operating system
    Linux

    Deployed on AWS
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    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.
    Financing for AWS Marketplace purchases

    Pricing

    Artificial Genius Orthix version 2

     Info
    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.

    Usage costs (1)

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    Dimension
    Description
    Cost/user/hour
    Per User Per Hour
    Per User Per Hour Usage
    $5.00

    AI Insights

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    Dimensions summary

    You pay for this product using a single usage-based dimension: Per User Per Hour. Billing scales with two factors combined. First, the number of users who access the platform. Second, the number of hours those users spend using it. Costs rise as either the user count or usage time increases. There are no tiers, instance sizes, or separate add-ons to choose from. This structure ties your spending directly to actual usage, so you pay only for the hours your users are active.

    Top-of-mind questions for buyers

    One user is a single individual account accessing the platform. Each active account counts separately. Your charge combines the number of users with the hours each spends using the platform. Two users active for one hour bill the same as one user active for two hours.
    Billing meters the hours users spend accessing the platform. The pricing table defines the unit as Per User Per Hour usage. Charges accrue based on active usage time per user. Details on whether idle sessions count are not specified in the available data, so confirm this with the vendor.
    This is a platform for capturing enterprise value from unstructured data. All platform capabilities fall under the single Per User Per Hour dimension. There are no separate add-ons or feature tiers. Your usage charge covers access to the platform for each user, billed by the hour.
    www.artificialgenius.ai
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    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.

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    Legal

    Vendor terms and conditions

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    Usage information

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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

    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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