Kleene.ai, the AI-native data platform for mid-market and enterprise brands, launched KAI Assistant, enabling data teams and business users to write SQL, debug pipelines, and navigate their data infrastructure using natural language.
As data teams face growing pressure to deliver insights faster with fewer resources, KAI replaces the manual workflow of switching between SQL consoles, logs, documentation, and messaging threads with a single conversational interface inside the platform. It is now enabled for all existing customers.
In early access, teams achieved 70% faster SQL generation and saved over 20 hours per month previously spent on debugging, report building, and query optimisation.
“Data platforms have always demanded technical fluency to extract full value. KAI Assistant changes that,” said Ian Liddicoat, CPO at Kleene.ai. “By embedding natural language processing directly into our transform and pipeline layer, we make day-to-day data work accessible to anyone on the team not just engineers.”
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What KAI Assistant Does
KAI is powered by Google Gemini via Vertex AI. When data previews are used, all data is converted to synthetic form via AWS Bedrock before any LLM processing ensuring raw customer data is never exposed.
Capabilities at launch include natural language SQL generation and optimisation, pipeline search and inspection, table schema previews with synthetic data, log-based debugging, and interactive documentation access. Later this year, Kleene.ai will extend KAI to full pipeline creation and natural language querying of its machine-learned models for pricing, forecasting, segmentation, and media optimisation.
Source: GlobeNewswire