Profile not reviewed by the provider

Genee

Custom development, automation & AI

Genee is a Lyon-based custom software development agency offering business automation, AI agents, RAG, API integration and production-grade DevOps delivery.

Compare this provider with alternatives ↗Official website ↗

AIPartnerLens positioning

The official website positions Genee at the intersection of business software, automation and applied AI.

Public formats include a Make scenario, a multi-scenario automation program, build & run, an MVP Factory and complete business applications.

The official pages currently publish different ranges for business applications; each figure must therefore remain attributed to its source page and be confirmed directly with Genee, without averaging or merging.

AIPartnerLens analysis

Public budget: Public pricing documentedView budget details
Factual review: Profile not reviewed by the provider

Do you represent Genee? Correct or claim this profile Category: AI agencies

Verified customer reviews

Reviews of Genee

An overall score is not enough. Each review can break down five comparable criteria to show the provider’s strengths and points to watch.

Reviews are checked manually before publication, and their verification status remains explicit. Supporting evidence stays private, and a provider’s paid listing plan never affects its scores or publication.

No customer review published

Evaluation criteria

Each criterion remains visible as a separate rating.

Score /5

01
Scoping & business understanding
Understanding of the need, priorities and proposed scope.
— / 5
02
AI expertise & deliverable quality
Technical expertise, soundness of the choices made and quality of the delivered work.
— / 5
03
Communication & project management
Clarity of communication, progress visibility and handling of unexpected issues.
— / 5
04
Budget & timeline reliability
Alignment between the initial commitments and the actual project outcome.
— / 5
05
Production rollout & ongoing support
Deployment, knowledge transfer, maintenance and ongoing assistance.
— / 5

No verified customer review has been published on this profile yet.

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Decision-focused summary

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

Best fit

Clearly defined business processes with data and systems identified.
Need for an agent or automation connected to existing IT systems.
Company that wants ownership of the code and documentation.
Project where software development and AI must progress together.

Poor-fit scenario

Need for simple AI literacy without technical delivery.
Looking for standard software that is ready to use immediately.
Project without access to data or an available business owner.
Expectation of guaranteed outcomes without a real-data testing phase.

Evidence available

Detailed official website, services page, public client case studies including several anonymized cases, methodology and entry pricing for selected offerings; exact scope, outcomes and comparable references should be confirmed before a decision.

Points to clarify

Which published client case study is most comparable to the targeted processes?
Which data leaves the IT environment, and which models does it go to?
Which tests and assessments govern the agent's answers or actions?
Who maintains the connectors, prompts and rules after delivery?

Services and engagement formats

Use cases, formats, deliverables and engagement requirements.

Structured use cases

AI agent for email review and routing

RAG and search across an internal document repository

Reconciliation and data-entry automation

Custom business applications and internal tools

Integration of AI agents into an ERP, CRM or TMS

Production deployment and maintenance of software solutions

Project delivery

Steps, deliverables, human validation and production deployment.

Indicative duration: Public timelines vary by scope: first Make scenario in 7 business days;
a Make program of 10 to 30 scenarios in 6 to 12 weeks;
a simple MVP in 2 to 4 weeks on the dedicated page, versus 6 to 10 weeks on the general services page.
For a business application, the services page states 3 to 6 months, while the homepage FAQ states 1 to 3 months.
Timeline should be confirmed directly with Genee based on features, integrations, data and required level of finish.

Budget and business model

Entry budget, billing unit, source, subscriptions and included scope.

Budget details: Separate public formats: first Make scenario from €3 500 excl.
VAT; complete Make program from €8 000 to €25 000 excl.
VAT;
Make build & run from €1 800/month;
MVP Factory from €8 000 excl.
VAT on the dedicated page; and an MVP generally around €15 000 on the services page.
For business applications, sources diverge: the services page states €30 000 to €150 000, while the homepage shows custom development from €18 000 excl.
VAT and its FAQ describes a complete application generally between €15 000 and €80 000.
These values are not merged or used to calculate an average; scope and price must be confirmed directly with Genee.

Tools and integrations

Technologies, usage context and compatibility with the existing environment.

OpenAI

Mistral

Python

Make

Business API

ERP

CRM

TMS

CI/CD

Capabilities and reference points: OpenAI
Mistral
Python
Make
Business API
ERP
CRM
TMS
CI/CD

Client case studies and evidence

Publishable case studies, outcomes and verification level.

Evidence level: Detailed official website, services page, public client case studies including several anonymized cases, methodology and entry pricing for selected offerings; exact scope, outcomes and comparable references should be confirmed before a decision.
Documented items: Public positioning combining custom development, AI agents and automation.
Published cases involving email, transport, accounting and internal tools.
Integration stated with existing ERP, CRM, TMS and APIs.
Code delivered to the client and transfer of intellectual-property ownership shown.
Short-cycle delivery approach with documentation and maintenance offered.

Limitations and points to clarify

Prerequisites, dependencies, risks and questions to resolve before signing.

Risks: Separate the software scope from the AI scope in the proposal.
Data, access rights and security should be validated before development.
Agent-quality measurement should be defined using business test cases.
Make recurring model, cloud and maintenance costs explicit.
Conditions for code handover and run operations should be confirmed in practice.
To clarify before signing: Which published client case study is most comparable to the targeted processes?
Which data leaves the IT environment, and which models does it go to?
Which tests and assessments govern the agent's answers or actions?
Who maintains the connectors, prompts and rules after delivery?
Which published format does the proposal correspond to: Make scenario, complete program, build & run, MVP or business application?
How is the difference between the published 2–4 week and 6–10 week MVP timelines explained by the proposed scope?
Which source and scope explain the business-application proposal, given that the official pages publish €30 000 to €150 000 on the services page and €15 000 to €80 000 in the homepage FAQ?

Sources and statuses

Sources of public information

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

Public sources

Review

Profile not reviewed by the provider

Plan status

Basic plan

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

Official website of Geneehttps://www.genee.tech/

Public source — genee.techhttps://www.genee.tech/services

Public source — genee.techhttps://www.genee.tech/services/mvp-factory

Public source — genee.techhttps://www.genee.tech/agence-make

Public source — genee.techhttps://www.genee.tech/agent-ia-entreprise

Public source — genee.techhttps://www.genee.tech/cas-client

Public source — genee.techhttps://www.genee.tech/fondateur

Public source — annuaire-entreprises.data.gouv.frhttps://annuaire-entreprises.data.gouv.fr/entreprise/genee-919592261

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.

Public source

August 2026

Profile built from public sources

This profile separates publicly available information from items that still need verification or clarification with the company.

View public source: official website for Genee View the AIPartnerLens methodology

Profile listed in AI agencies

Category placement helps buyers compare providers for a similar business need. Organic placement cannot be purchased.

View the AI agencies category

Editorial update

August 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

August 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

August 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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