Sold by: Orq.ai
Generative AI Collaboration platform for AI Engineers, Product Managers, and Domain Experts.
Build, test, ship, and optimize Generative AI products safely across 100+ models.
Overview
Build Enterprise-grade Generative AI Applications from Playground to Production. Low-code LLM Ops Platform for ambitious product teams working across Engineering, Product and Business domains.
Prompt: Lifecycle Management Manage your organization Prompt Library Use our AI-powered prompt generator to get started Run side-by-side playgrounds across 100+ models Multi-modality for text, image, vision and audio models
Experiment: Collaborative Playground and Experiments Run mass experiments and regression tests on updates in your applications Use basic and advanced ML evaluators to check quality, performance, and costs Manage your custom LLM-as-a-judge evaluators Visual representation of experiments
Run: AI in Production Ship your use cases safely to production Use our advanced business rules engine for granular control to personalize and localize your use cases Built-in retries and fallbacks Version control Single, uniform API to integrate all your Generative AI use cases Configure guardrails to control your AI
Evaluate - Observability and Insights Granular dashboarding and analytics Insights in costs, performance and quality Run online evaluators in production Real-time logging and monitoring
Optimize - Quickly iterate and improve Human-in-the-loop feedback and corrections User Analytics Dataset curation for future experiments and fine-tuning
Highlights
- Prompt: Lifecycle Management Manage your organization Prompt Library Use our AI powered prompt generator to get started Run side by side playgrounds across 100+ models Multi modality for text, image, vision and audio models Evaluate: Observability and Insights Granular dashboarding and analytics Insights in costs, performance and quality Run online evaluators in production Real time logging & monitoring
- Experiment: Collaborative Playground and Experiments Run mass experiments and regression tests on updates in your applications Use basic and advanced ML evaluators to check quality, performance, and costs Manage your custom LLM as a judge evaluators Visual representation of experiments Optimize: Quickly iterate and improve Human in the loop feedback and corrections User Analytics Dataset curation for future experiments and fine tuning
- Run: AI in Production Ship your use cases safely to production Use our advanced business rules engine for granular control to personalize and localize your use cases Built in retries and fallbacks Version control Single, uniform API to integrate all your Generative AI use cases Configure guardrails to control your AI
Details
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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.
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Dimension | Description | Cost/12 months |
|---|---|---|
Enterprise | Orq enterprise solution | $120,000.00 |
Dimensions summary
This listing offers a single Enterprise contract dimension, billed in units through a private agreement. You buy the enterprise solution rather than picking from separate tiers or usage add-ons on Marketplace. Pricing is set by contract, so it fits organizations with custom requirements like high data volumes, dedicated support, and role-based access control. Enterprise contracts run on a yearly commitment and allow customized terms and redlines. You can procure through AWS Marketplace against existing committed spend. Contact the vendor to scope the exact quantity and terms for your organization.
Top-of-mind questions for buyers
The Enterprise solution covers custom requirements like high data volumes, on-premise or private-cloud deployment, dedicated support, and role-based access control. It also adds the Enterprise API for SCIM provisioning, audit logs, and bulk operations. Document processing runs at priority, so uploaded files are parsed and indexed faster.
Usage is measured in spans, agent runs, and processed data. A span is one discrete operation, such as a model call, tool execution, or retrieval step. An agent run records each agent invocation and may contain many spans. Processed data is the total volume of inputs, outputs, prompts, and metadata ingested.
Yes. Enterprise contracts run on a yearly commitment and support customized terms with redlines welcome. You can also procure through AWS Marketplace against existing committed spend. Contact the vendor to scope the exact quantity, terms, and deployment setup for your organization.
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No refund. Please contact support@orq.ai for more info.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
Premium email (support@orq.ai ) and Slack support is provided
AWS infrastructure support
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