AI observability in AWS Marketplace: Perimattic monitors LLMs and generative applications

The adoption of artificial genetic intelligence is no longer an experiment to become a central part of the strategy of many companies. However, operating language models in production requires more than triggering an API: it is necessary to ensure that responses are useful, secure, adherent to internal policies and that costs do not get out of control. It was with this scenario that Perimattic, specialized in observability, announced the availability of its platform in AWS Marketplace, offering teams a unified insight into the behavior of LLMs and generative AI applications.

Perimattic's solution promises to track the entire life cycle of an interaction with the model — from the prompt sent by the user to the generated response, through critical metrics such as latency, token consumption and hallucinations. The novelty is that all of this can be directly monitored in the cloud infrastructure of the teams, without the need to send data to external environments. This is particularly relevant for regulated sectors, such as finance and health, where compliance with data protection laws imposes restrictions on information traffic.

The announcement arrives at a time when the AI observability market begins to consolidate. According to Gartner analysts, by 2026, more than 60% of organizations that implement generational AI in production will adopt specific tools for quality and cost monitoring. Today, many companies still rely on gross logs and generic dashboards, which do not capture aspects such as the semantic drift of responses or the relationship between business prompts and KPIs.

Perimattic claims that its platform was designed to fill exactly this gap. Instead of just showing numbers, it correlates technical metrics with business indicators, allowing engineering and product teams to answer questions such as: “has the new version of the model increased the conversion rate?” or “which temperature range generates fewer responses out of tone?”.

Available at AWS Marketplace, the product can be integrated into services such as Amazon Bedrock and SageMaker. For teams that already operate in the AWS cloud, billing is unified in the monthly bill, which reduces search friction. The company also offers a free trial period, according to the official page.

In a market where trust in AI is as important as the accuracy of models, initiatives such as this point to a necessary maturity. Without observability, any generative application is a black box — and as Perimattic itself reinforces, “what is not measured cannot be improved”. For those who wish to deepen the theme, check out other articles in our news space on AI.