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What is Fleak?
Fleak is an AI-powered data infrastructure platform that sits between your data sources and AI applications, ensuring data is normalized, filtered, governed, and delivered in real time. Built by a team that joined the Databricks startup accelerator, Fleak solves the problem of inconsistent, noisy, and ungoverned data that degrades AI model performance. Its core capabilities include value-aware routing, AI-orchestrated self-healing pipelines, and governed delivery to any destination. The platform connects to any source—cloud, OT, endpoints, APIs, databases—without custom connectors. Users describe their intent in natural language, and Fleak's copilot builds the pipeline automatically. It is designed for data engineering teams, AI/ML practitioners, and organizations in cybersecurity, industrial/IoT, and financial services that need reliable, real-time data for their AI systems. Fleak reduces integration time from months to weeks, cuts storage costs by 50%, and saves up to 40% on LLM token costs through deduplication and normalization.
AI Tool Review Summary
4.5/5
High, consistent, and governed
Clean and intuitive with natural language copilot
LLMNLP
To normalize, filter, govern, and deliver real-time data from any source to AI applications.
Connects to any data source (cloud, OT, endpoints, APIs, databases) and delivers to AI apps, data lakes, SIEM, or any destination.
Freemium with paid tiers
Features with the highest value for users are highlighted here.
AI-powered value-aware data routing
Self-healing pipelines that auto-detect schema drift
Natural language copilot for pipeline orchestration
Real-time normalization to standard schemas (OCSF, UDM, etc.)
Deduplication and filtering at ingestion
Fine-grained access control with full audit trail
Connect any source without custom connectors
Deliver clean data to any destination in real time
Data engineering teams
AI/ML practitioners
Cybersecurity teams
Industrial IoT teams
Financial services firms
Startups
Enterprise data platforms
Compliance officers
Data scientists
DevOps teams
Free
$0/free
Connect up to 2 data sources Basic normalization and filtering Community support
Popular
Pro
$19/monthly
Unlimited data sources AI copilot for pipeline creation Self-healing pipelines Email support
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Pros & Cons
Dramatically reduces integration and storage costs while improving data quality. Self-healing pipelines minimize engineering maintenance and downtime.
May require initial setup and tuning to match specific data sources and use cases. Pricing details are not publicly available, potentially limiting transparency for small teams.
FAQs
Just Launched
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Rating
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