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Data Anvil Roadmap ​

We will define here the planned roadmap for different capabilities.

Capacities designates everything a user is able to achieve using Klarity Craft AI Data Anvil

A capacity is achievable throught functionalities which are to be described in dedicated issues : each capacity will generate an issue in which the functionalities and technical elements to be implemented will be detailled. This can then be transformed into code issues by the dev team.

Versions & Goals ​

Klarity Craft AI Data Anvil value is to provide functions for the management of the different datasets in the lifecycle of an AI component. Yet multiple versions will be deployed before this goal is reached.

  • MVP V1.0 : December 2025

    • Import and visualize data in DebiAI
    • Multiple non-functional requirements

  • MVP V1.1: Q1 2026

    • Business goals
      • Demonstrate our principle to potential customer
      • Validate the technological principle for instance computation
      • Validate the product architecture (IAM for external users)
      • Apply to ourselves the core functionalities of Klarity Craft AI Data Anvil as customer user-case for our POV
      • Open to 1 or 2 external user for apha test (IRT or confiance.ia)
    • Content will be variable regarding the achieved content of MVP1.0

  • MVP V1.2: Q2 2026

    • Business goals

      • Be able operate our first clients that what to use Klarity Craft AI Data Anvil for there data.

      • gather operational feedback from external users (infra loging, dimension, cost, reliability)

      • Demonstrate our capability to host a AAS service for multiple users

      • identify key features needed for V1.0

  • V 0.1: Q3 2026

    • Business goals
      • Create release candidate will small publicity (etaia, linkedin communication)
      • gather operational feedback from external users (infra loging, dimension, cost, reliability)
      • identify key features needed for V1.0
      • Validate our security / access controle infrastructure
      • Correct bugs, improve quality, and user experience
      • Build a first internal product usable for our projects in our workbench

  • V1 : Q4 2026

    • Business goals
      • Be able operate our first clients that what to use Klarity Craft AI Data Anvil for there data.
      • Integrated in our proposed wokbench for ESN developpers

Functional Requirements ​

  • [ ] F_DA_01 (MVP 1.1) Data Engineer Import the raw data he wants to manipulate from different data sources
  • [ ] F_DA_02. (MVP 1.1) Data Engineer analyze data
  • [ ] F_DA_03. (MVP 1.1) Data Engineer explore data
  • [ ] F_DA_04. (MVP 1.1) Data Engineer generate reports on data
  • [ ] F_DA_05. (MVP 1.1) Data Engineer generate artefacts from data
  • [ ] F_DA_06. (MVP 1.1) Data Engineer create Dataset from data
  • [ ] F_DA_07. (MVP 1.1) Data Engineer request feature completion on data from expert
  • [ ] F_DA_08. (MVP 1.1) Data Engineer compute features on data
  • [ ] F_DA_09. (MVP 1.1) Data Engineer generate sample on data
  • [ ] F_DA_10. (MVP 1.1) Data Engineer compute metrics on data

Non-Functional Requirements ​

  • [x] NF_DA_01. (MVP 1.0) Spliting of DQM-ML into several packages
  • [x] NF_DA_02. (MVP 1.0) Compute memory need estimation
  • [ ] NF_DA_03. (MVP 1.0) Integrate logging with centralized IAM
  • [x] NF_DA_04. (MVP 1.0) Add support for even more data formats
  • [ ] NF_DA_05.