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Data Players

Integrator · Software company · Consulting firm

Data Players designs AI agents, knowledge bases and interoperable systems based on open-source components.

  • Verified on July 30, 2026

Last updated : 2026-07-30

Do you represent Data Players? Correct or claim this profile
Connect with this providerVisit official website of Data Players
Positioning AIPartnerLens

Consider first when the need combines access to scattered knowledge, interoperability and an agent's ability to act on the IT environment.

  • AIPartnerLens analysis
Type of provider
Integrator·Software company·Consulting firm
Primary model
Hybrid
Public budget
Not disclosed
Factual review
Profile not reviewed by the provider

Overview

The SCIC works on extracting value from scattered data, building knowledge bases, deploying AI agents that can query or act on systems, and automating flows between applications.

  • Verified on July 30, 2026
Decision-focused summary

Decide what to verify first

Factual review, commercial status and editorial conclusions are handled separately.

Best fit

  • Organization that needs to make scattered documents, databases or websites queryable in natural language.
  • Project requiring interoperability between heterogeneous systems and open standards.
  • AI agent that must produce content or act on tools with controlled permissions.

Poor-fit scenario

  • To assess before compare the offerings.

Evidence available

  • An official case study documents the Portail de l’Alimentation Durable and its RAG agent; the outcomes remain claims made by Data Players.

Points to clarify

  • Initial budget, recurring costs, and the scope of maintenance and operational support.
  • Project-specific hosting requirements, data location and isolation.
  • SLA, response times and contractual support hours.
  • Ownership of the code, reversibility and terms of transfer.

Positioning and coverage

Services, industries, geographic coverage, languages and commercial entry point.
Primary services
  • AI agents using knowledge bases
  • Information-system interoperability
  • Automation of data flows
  • Hosting and managed operations of AI agents
  • Verified on July 30, 2026
Secondary services
  • Training and support users
  • Mapping semantic
  • Knowledge bases
  • Verified on July 30, 2026
Claimed specialization
AI agents and information systems described as ethical, resource-efficient, sovereign and interoperable.
  • Verified on July 30, 2026

Services and engagement formats

Use cases, formats, deliverables and conditions of entry.

Structured use cases

Knowledge bases queryable in natural language

Business problems

  • Information scattered across documents, websites, databases and tools
  • Search by keywords insufficient
  • Knowledge expertes difficult to partager

Expected outcomes

  • Contextualized, sourced answers
  • Access simplified to knowledge
  • Knowledge capture expertise
  • Verified on July 30, 2026

AI agent capable of acting through tools

Business problems

  • Manual production of reports, summaries and emails
  • Tasks repetitive between systems
  • Actions to trigger depending on context

Expected outcomes

  • Actions restricted to authorized users
  • Workflow automation
  • Production of documents and analyses
  • Verified on July 30, 2026

Data-flow automation and interoperability

Business problems

  • Systems heterogeneous not connected
  • Data to nettoyer, harmonize or synchronize
  • Manual construction and updating of knowledge bases
  • Verified on July 30, 2026

Engagement formats

AI agent over a knowledge base

Structure scattered data, query it in natural language and enable the agent to act through authorized tools.

Indicative duration
Not disclosed
Budget
Not disclosed
  • Verified on July 30, 2026

Data-flow automation and interoperability

Collecter, transformer, harmonize, aggregate and synchronize data between systems heterogeneous.

Indicative duration
Not disclosed
Budget
Not disclosed
  • Verified on July 30, 2026

Maintenance, hosting and support

Operational maintenance, regular updates, hosting, managed operations and technical support.

Budget
Not disclosed
  • Verified on July 30, 2026

Project delivery

Steps, deliverables, human validation and production deployment.
  1. 1

    Immersion business

    Understand the context, challenges and available data.

    • Verified on July 30, 2026
  2. 2

    Need formalization

    Help articulate and formalize the specific need.

    • Verified on July 30, 2026
  3. 3

    Agile delivery

    Agile project management with deliveries stated as occurring every two weeks.

    Duration
    Deliveries every two weeks
    • Verified on July 30, 2026
Indicative duration
Not disclosed
Production deployment
Unknown information
Post-deployment follow-up
Operational maintenance and regular updates are offered.
  • Verified on July 30, 2026

Budget and business model

Entry budget, billing unit, source, subscriptions and included scope.
Minimum budget
Not disclosed
Budget ranges
Not disclosed
Maintenance included
Unknown information
Maintenance separate
Unknown information
Support included
Unknown information
Budget details
Not disclosed

Maintenance and support

Post-implementation support, maintenance, monitoring and reversibility.
Post-implementation support
Yes
  • Verified on July 30, 2026
Support model
Unknown information
Corrective maintenance
Yes
  • Verified on July 30, 2026
Evolutionary maintenance
Yes
  • Verified on July 30, 2026
Supervision and monitoring
Yes
  • Verified on July 30, 2026
Integration updates
Yes
  • Verified on July 30, 2026
Response time
Technical support is stated as available from 9h to 17h.
  • Verified on July 30, 2026
SLA disclosed
Unknown information

Infrastructure, data and security

Hosting, cybersecurity, ownership and declared certifications.
Hosting
  • Provider-hosted
  • Public cloud
  • Verified on July 30, 2026
Data location
Europe
  • Verified on July 30, 2026
Supervision
Hosting secure, managed operations and oversight of workflows offered.
  • Verified on July 30, 2026
Access management
Actions on sensitive resources are stated to be restricted to authorized users.
  • Verified on July 30, 2026
Security policy
Not disclosed
Models used
  • Open-source AI models
  • Mistral for the Portail de l’Alimentation Durable case
  • Verified on July 30, 2026
Deployment on-premise
Unknown information
Ownership of the code
Not disclosed
Data ownership
Not disclosed

Training and certifications

Training, Qualiopi, CPF and explicitly documented funding options.
Training services
Training and support users
  • Verified on July 30, 2026

Tools and integrations

Technologies, usage context and compatibility with the existing environment.

Hybrid-RAG

  • Verified on July 30, 2026

Graph-RAG

  • Verified on July 30, 2026

n8n

  • Verified on July 30, 2026

MCP

  • Verified on July 30, 2026

Bus Sémantique

  • Verified on July 30, 2026

SemApps

  • Verified on July 30, 2026
Capabilities and reference points
  • RAG
  • Search semantic
  • Knowledge bases
  • Interoperability
  • Automation of flows
  • Agents with action capabilities
  • Verified on July 30, 2026
Integrations
  • CRM
  • ERP
  • Drive
  • Nextcloud
  • Slack
  • Microsoft Teams
  • Google Calendar
  • Microsoft Outlook
  • API
  • Webhooks
  • Verified on July 30, 2026
API capabilities
  • API
  • Webhooks
  • MCP
  • Verified on July 30, 2026
Existing client stack
Yes
  • Verified on July 30, 2026

Client case studies and evidence

Publishable case studies, outcomes and verification level.
Evidence level
An official case study documents the Portail de l’Alimentation Durable and its RAG agent; the outcomes remain claims made by Data Players.
  • Verified on July 30, 2026
Structured levels
  • Named client case study
  • Quantitative measure
  • Public source
Documented items
  • Initial problem and consortium
  • Architecture of data and RAG
  • Technologies cited
  • Stated outcomes and limitations of the previous engine
  • Verified on July 30, 2026
Public sources
Portail de l’Alimentation Durable
  • Verified on July 30, 2026

Client: Solagro et consortium du Portail de l’Alimentation Durable

Portail de l’Alimentation Durable

Industry: Transition agricole and alimentaire

Problem: Make resources scattered across several platforms, technologies and taxonomies accessible.

Intervention: Data collection and harmonization, a semantic knowledge base, a search index and then a RAG agent with sourced answers.

Outcome: A conversational agent can query a corpus of around 8 000 resources from six sources in natural language.

Technologies

  • Grappe
  • Base semantic
  • Meilisearch
  • RAG
  • Mistral

Quantitative outcomes

  • Corpus documented :Around 8 000 resources issues of six sources — Figures published by Data Players in the case study; they have not been independently audited. (Declared)
Evidence levels
  • Named client case study
  • Quantitative measure
  • Public source
  • Verified on July 30, 2026

Limitations and points to clarify

Prerequisites, dependencies, risks and questions to resolve before signing.
Limitations
Data Players states that it cannot distribute its internal n8n instance as a SaaS service; support instead covers client-side installation or an available hosting solution.
  • Verified on July 30, 2026
Risks
Budget, SLA, on-site deployment, code ownership and reversibility remain to be clarified.
To clarify before signature
  • Initial budget, recurring costs, and the scope of maintenance and operational support.
  • Project-specific hosting requirements, data location and isolation.
  • SLA, response times and contractual support hours.
  • Ownership of the code, reversibility and terms of transfer.
  • Deployment on the client’s infrastructure with compatible models selected according to constraints.
  • AIPartnerLens analysis
Sources and statuses

Origin of public information

Internal comments, private fields and non-public sources are never rendered in this profile.

Public sources

5

Review

Profile not reviewed by the provider

Commercial status

Basic commercial profile

This profile has not been reviewed by the provider. Public information is presented cautiously.

Official website of Data Playershttps://www.data-players.com/

Public source — data-players.comhttps://www.data-players.com/agents-ia

Public source — data-players.comhttps://www.data-players.com/content/pages/automatisation-et-flux-de-donnees

Public source — data-players.comhttps://www.data-players.com/content/posts/portail-alimentation-durable-agent-ia

Public source — data-players.comhttps://www.data-players.com/content/pages/mentions-legales

Signals

Updates & signals

Editorial information, public sources and AIPartnerLens signals related to this profile.

This profile is built from public sources. Factual corrections are free.

Editorial update

July 2026

Latest editorial update

The profile is maintained as part of the AIPartnerLens market map. This signal does not imply traffic metrics or provider validation.

Read the B2B AI provider barometer
Correction

July 2026

Factual correction possible

A name, link, category, outdated source or factually incorrect information can be corrected free of charge.

Request a free factual correction
Methodology

July 2026

Related methodology and glossary

Technical terms used in the profile link back to the B2B AI glossary, and the evaluation framework is explained in the methodology.

Open the B2B AI glossary
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