Kleene.ai
A data platform that pulls data from 200+ sources into a warehouse and lets you query it in plain English via an AI assistant.
🔗 Visit Kleene.ai
Description
Kleene is the plumbing that moves data from all the apps a company uses — Shopify, Salesforce, ad platforms, and more — into one place, then lets people ask it questions in plain English instead of writing code.
Kleene.ai is a cloud-native ELT platform with over 200 pre-built connectors, SQL-based modeling, real-time pipeline monitoring, and reverse ETL to push processed data back into business applications. Its AI layer — KAI Assistant and KAI Analytics, powered by Google Gemini — lets non-technical users query data and generate dashboards conversationally. The platform is ISO 27001 accredited and GDPR compliant.
💬 Our review
The short version: Kleene bundles what used to be two or three separate tools — a Fivetran-style pipeline, a dbt-style modeling layer, and a BI layer — into one platform with an AI assistant on top, at the cost of not publishing its pricing.
Against a DIY stack of Fivetran plus dbt plus Looker, which is best-of-breed but means stitching together and paying for three separate tools, Kleene's single-vendor bundle with dedicated engineering and customer-success support suits lean data teams without a dedicated data engineer on staff. The honest downsides versus Airbyte, an open-source alternative, are the lack of a self-hosted option and the absence of a public price list, meaning you can't budget for it without a sales call.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Flat-fee subscription, pricing available on request — no public price list.
Pros
200+ pre-built connectors plus custom integration support
Bundles pipeline, modeling and AI query layer in one product
Reverse ETL to push data back into business apps
ISO 27001 accredited, GDPR compliant, dedicated customer success
Cons
No public pricing — requires a sales call to budget
No open-source or self-hosted option, unlike Airbyte
Flat-fee model may be worse value than usage-based tools at very small data volumes