RagaAI (raga.ai) is offering a comprehensive Testing Platform for AI/ML applications. The platform automatically identifies issues with data and AI models. It reduces development time and cost by 3x.
Highlights
Identify Data, Model and Operational Issues with AI
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.
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.
This contract uses one pricing dimension: AI Model (Units). You pay based on the number of AI models you test on the platform. Your cost scales directly with how many models you cover, so more models mean more units. There are no separate tiers or instance sizes to choose from. You commit to a contract term and select the quantity of AI models you need. The platform supports testing across generative, discriminative, and agentic AI systems under this single unit-based structure.
Top-of-mind questions for buyers
What counts as one AI Model unit for billing purposes?
One unit maps to a single AI model you test on the platform. This can be a large language model, a discriminative model, or an agentic application. Each model you evaluate counts separately toward your total unit count.
What happens to my cost if I add more AI models during the contract?
Cost scales directly with the number of AI models you cover. Each additional model adds one unit. You commit to a quantity at the start of your contract term, so plan the model count you expect to test.
Does the AI Model unit cover testing across different AI types, like vision and language models?
Yes. The platform tests generative AI, discriminative AI, and agentic applications, including large language model workflows and computer vision systems. Each model you test counts as one unit regardless of its type.
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