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.
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.
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.
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
What counts as one user for billing under the Per User Per Hour dimension?
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.
Am I charged when a user is signed in but not actively working?
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.
What does this product do, and is that included in the hourly usage charge?
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
Helpful?
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.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
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.
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.
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.
AIDA is an AI-powered business data assistant that enables enterprises to query data in natural language and instantly receive insights, visualizations, and reports. Built on AWS and powered by advanced AI models, AIDA integrates with SQL, NoSQL, cloud, and on-premises data sources while ensuring enterprise-grade security and data privacy.
The Data Platform Analysis (DPA) is a professional consulting service designed to assess, structure, and optimize your organization’s data strategy. While a traditional assessment focuses on overall cloud infrastructure, the DPA specifically concentrates on shaping and accelerating your analytics initiatives, database migration projects, Data Lakes, and Data Warehouses by leveraging industry best practices.
Our goal is to ensure that data ingestion, storage, processing, and visualization are implemented in an efficient, secure, and scalable manner, fully aligned with your business’s analytical and operational needs.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.