AI-ready data platform
Build the data foundationyour AI can trust.
beVault helps organisations structure, control and evolve their data while keeping control of their environment.
On-premises, cloud, PaaS or hybrid deployment — your data stays in your environment
The challenge
Your data shouldn't turn into a project every time you want to use it.
In most organizations, the data already exists. It's simply spread across systems that don't talk to each other, transformed differently by each team, and rarely kept over time.
The result: every new need — a dashboard, an executive metric, a first AI project — starts over with the same integration work, and ends with numbers nobody can really defend.
- Changing sources
- Business definitions that evolve
- A history to preserve
- Data coming from multiple systems
- Quality that is difficult to control
- Analytics and AI needs
- The need to maintain control over the environment
What beVault does
One platform, from source to use.
Describe the model only once
Your teams describe the business objects, their relationships and their rules. beVault uses that description to generate the structures and the code, connect the source systems and load the data while preserving its history.
Control your data quality
beVault allows you to control the quality of historized data from multiple systems. Anomalies are reported in actionable lists so that data stewards can correct the data in the source systems. The data can then be extracted and tested again as part of a continuous quality improvement process.
Orchestrate data flows from source to use
The integrated orchestrator executes processing, manages dependencies, and provides visibility into what happened. The output: documented datasets usable by your BI tools, business users, and AI agents.
Organizations working with dFakto
dFakto est certifiée ISO/IEC 27001:2022 dans le périmètre certifié. Learn more about dFakto’s certification →
Overview
Build solid foundations for your AI platform.
AI agents need more than access to data. They need to understand what your business concepts mean, how they relate to each other and which information can be trusted.
Give AI the semantic layer it needs
With beVault, the meaning of your data is captured alongside the model. Business names, descriptions, relationships and source context help AI agents interpret your data correctly instead of working with isolated tables and ambiguous field names.
Unify data from every source
Your AI agent does not need to connect separately to every operational system. beVault absorbs the differences between sources and presents the data through a unified structure, making it easier to integrate new systems without rebuilding the entire AI architecture.
Prepare once. Reuse everywhere.
The same trusted data can feed AI agents, vector databases, BI dashboards, information marts and business applications. If you change your AI agent, LLM or vector database, your underlying business model and data foundation remain reusable.
beFast · beCollaborative · beEfficient
beFast
Accelerate your data projects
Automate repetitive modelling and generation work so your teams can deliver new data domains faster.
beCollaborative
Bring business and data teams together
Give business and technical teams a shared way to define the model, discuss the data and make decisions together.
beEfficient
Reduce repetitive data work
Consolidate modelling, quality, orchestration and documentation capabilities in one platform instead of maintaining disconnected tools and processes.
beVault interface
See the platform in action
Sovereignty
Keep your data where your organization needs it.
beVault deploys in the environment you have chosen, with your access rules and operational constraints. You decide where the data lives and who operates the infrastructure — including in regulated and sovereign contexts.
Where to start
Start from your situation, not from a technology.
Most of our conversations start with a specific problem. Choose the one that looks most like yours.
- You're building a data foundation for AIGive your models and agents data with context and history.
- You're modernizing an existing warehouseEvolve the architecture progressively, without disrupting existing reports.
- You're integrating an ERP or legacy systemsRecover and preserve application history instead of losing it during migration.
- You want reliable BI and reportingMarts built on shared definitions and reconciled with the sources.
- You're working on quality and governanceControl, measure and correct data as it enters the platform.
- You are an SME with a small data teamStructure your data in stages, without building a disproportionate architecture.
Data Services
The platform comes with a path to production.
dFakto teams work alongside yours: scoping and assessment, architecture, implementation, training and knowledge transfer, then ongoing support and evolution.
Concrete elements
See how other organizations approach their data challenges.
We document real-world contexts: what the problem was, what was put in place, and how the platform is used today. We'd rather you come to the demo with your toughest questions already prepared.
Next step