Kelvark

Data Observability Software

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This autonomous data operating system automates and governs the process of transforming plain-language business questions into accurate, auditable numerical answers by using deterministic, versioned SQL compilation, lineage tracking, and human ratification, effectively eliminating guesswork and hallucinated data. Its main features include tenant-isolation, lineage-backed auditability, deterministic query compilation, and an agent-driven proposal system that ensures data integrity and transparency, solving problems related to unreliable AI-generated figures, untraceable data transformations, and trust deficits in analytics, making it ideal for data teams, analysts, and organizations seeking reliable, compliant, and end-to-end auditable data governance.

Kelvark can be found in Data Observability Software categories.

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Kelvark Main Features

• Governed SQL
  Answers are created using controlled SQL queries, not free-text or guessing.
• No guesswork
  The system does not invent numbers; all answers are based on verified data.
• Tenant-siloed
  Data is kept separate for different users or groups, preventing interference.
• Lineage-backed
  Each number is linked to its original data source so you can trace how it was made.
• Agent swarm plans
  Specialized agents work together to plan how to find the right answer.
• Auditable answers
  Answers come with full details of how they were made, for trust and verification.
• Two-person integrity
  Two people must agree before data becomes official, ensuring accuracy.
• Deterministic compile
  The system uses fixed, predictable methods to turn questions into answers.
• Every number governed
  All data and numbers are controlled with rules to keep them accurate.
• Versioned definitions
  Data and metrics are stored with versions so they can be tracked over time.
• Autonomous Data System
  Kelvark is a system that automatically manages data with minimal human work.
• Lineage-backed answers
  Every answer shows where the data came from and how it was computed.
• Governed SQL compilation
  The planning results in SQL that is controlled and linked to data definitions.
• Plain language questions
  Anyone can ask questions naturally, like talking to a colleague, without SQL skills.
• Agents propose, humans ratify
  Agents suggest data answers, and humans approve them to keep the data correct.
• Fixed process from question to answer
  Questions go through a set process involving language understanding, planning, compiling, and answering.

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