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    Sustainability

    AI Platform for Sustainability

    SaaS platform for managing corporate sustainability roadmaps with advanced Business Intelligence on ESG projects and data. Natural Language Querying to interrogate and analyze data conversationally. Hybrid architecture: cloud (Claude, OpenAI) and on-premise (Ollama) for maximum flexibility and data sovereignty.

    NLQ
    Advanced BI
    Cloud & Private AI
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    The problem

    Corporate sustainability data is scattered across systems, spreadsheets and suppliers. Whoever has to report spends more time collecting and reconciling than analysing, and business questions — which ESG project is working, where we stand against targets — each require someone who knows how to build a report.

    The solution

    A SaaS platform governing the sustainability roadmap with advanced business intelligence over ESG projects and data, queryable in natural language: whoever has the question gets the answer without going through an analyst. The architecture is hybrid by design — cloud for general processing, on-premise for data that cannot leave.

    Technology stack

    • Natural Language Querying over ESG data
    • Advanced business intelligence
    • Cloud (Claude, OpenAI) and on-premise (Ollama) models
    • Hybrid cloud and on-premise architecture

    What changes

    • Questions about ESG data get answered without building an ad-hoc report
    • The sustainability roadmap is governed in one place
    • Sensitive data stays inside the company perimeter thanks to on-premise models
    • The choice of model stays reversible: the architecture is model-agnostic

    Testimonials

    What our clients say

    In the words of the people we worked with.

    • We were looking for a technical partner who understood both AI and the confidentiality constraints around ESG data. The platform they built runs in the cloud and on-premise, and the team always answered concretely, without selling smoke.
      CTO, sustainability platform

    Facing something similar?

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