Is your AI app pissing off users or going off-script? Raindrop emerges with AI-native observability platform to monitor performance
1 min read
Summary
Start-up Raindrop, formerly known as Dawn AI, is the first platform constructed specifically for artificial intelligence (AI) use in production, detecting errors as they arise and detailing to corporations what transpired.
According to a McKinsey survey, just 27% of firms reviewing all of the outputs of their generative AI systems before release to customers.
The platform analyses user interactions and model outputs in real time, safeguarding the privacy of both users and the corporations providing AI solutions with SOC-2 encryption.
Itlearns the data patterns of each product and builds a dynamic issue ontology that evolves over time, allowing AI developers to identify bugs, refine prompts and recognise systemic flaws in application responses.
Customers can track indicators like user frustration, task failures, refusals and memory lapses, with daily usage summaries and high-signal issue identification directly through workplace tools such as Slack and Teams.
The company’s origins are practical, having previously created Sidekick, a VS Code extension with hundreds of paying users.
The realisation that debugging AI products in production was near on impossible prompted the development of tools to make sense of AI product behaviour in real-world settings.