Best fit
- Connect an assistant to company documents or business data.
- Automate call handling or a defined workflow with human approval.
- Build semantic search for a catalog or a knowledge base.
Profile not reviewed by the provider
Gensai
Agency · Integrator · Software company
Gensai is a Paris-based studio building custom AI solutions: RAG chatbots, AI agents, voice assistants and natural-language search.
- Verified on September 11, 2026
- AIPartnerLens positioning
A studio to assess when turning a document collection or a defined workflow into a production application.
- AIPartnerLens analysis
- Provider type
- Agency · Integrator · Software company
- Primary model
- Hybrid
- Public budget
- Not disclosed
- Target companies
- SMB · Mid-market · Enterprise · Public sector
- Factual review
- Profile not reviewed by the provider
Verified customer reviews
Reviews of Gensai
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 manually checked. Supporting evidence remains private, and a provider’s paid listing plan never changes its scores or publication.
5 criteria rated out of 5
Evaluation criteria
Each criterion remains visible as a separate rating.
- 01— / 5
Scoping & business understanding
Understanding of the need, priorities and proposed scope.
- 02— / 5
AI expertise & deliverable quality
Technical expertise, soundness of the choices made and quality of the delivered work.
- 03— / 5
Communication & project management
Clarity of communication, progress visibility and handling of unexpected issues.
- 04— / 5
Budget & timeline reliability
Alignment between the initial commitments and the actual project outcome.
- 05— / 5
Production rollout & ongoing support
Deployment, knowledge transfer, maintenance and ongoing assistance.
No verified customer review has been published on this profile yet.
Have you worked with Gensai? Rate these five criteria and share a verifiable experience.
Overview
The studio supports small and mid-sized businesses, large organizations and institutions from initial assessment through deployment and maintenance.
It also publishes Le Répondeur Intelligent and Mon Assistant Sommelier.
Its stated French or European hosting and compliance arrangements need to be confirmed for each project.
- Verified on September 11, 2026
Decision-focused summary
Decide what to verify first
Factual review, plan status and editorial conclusions are handled separately.
Poor-fit scenario
- Require a fixed price and delivery date before agreeing the scope.
- Start a regulated project without reviewing architecture, contracts and security evidence.
Evidence available
- The website describes two named client cases: Conformis and GoFlint. A public France Num Activateur listing is available. This profile includes no independently verified performance figures.
Points to clarify
- Initial budget, model usage charges, hosting and ongoing maintenance costs.
- Timeline, assigned team, deliverables and acceptance criteria.
- Actual data locations, subprocessors and contractual commitments.
- Service levels, code ownership, exit arrangements and support scope.
Positioning and coverage
Services, industries, geographic coverage, languages and how engagements typically begin.
- Primary sales contact
- https://gensai.ai/#contact
- Verified on September 11, 2026
- Primary services
- RAG chatbots and knowledge bases
- Voice assistants and call handling
- AI agents and workflow automation
- Natural-language search
- Verified on September 11, 2026
- Secondary services
- AI assessment
- Training and adoption
- Maintenance
- Verified on September 11, 2026
- Claimed specialization
- Custom AI solutions connected to business data.
- Verified on September 11, 2026
Services and engagement formats
Use cases, formats, deliverables and engagement requirements.
Structured use cases
RAG chatbots and knowledge bases
Query internal documents with source citations and access controls.
Voice assistants and call handling
Provide assistance through text, WhatsApp or voice.
AI agents and workflow automation
Automate bounded actions with limited permissions and human approval for sensitive operations.
Natural-language search
Find listings or information from a request expressed in everyday language.
Project delivery
Steps, deliverables, human validation and production deployment.
- Indicative duration
- Agreed after scoping; no confirmed standard timeline.
Budget and business model
Entry budget, billing unit, source, subscriptions and included scope.
- Minimum budget
- Not disclosed
- Budget details
- Custom quote; no confirmed budget range.
Maintenance and support
Post-implementation support, maintenance, monitoring and exit handover.
- Post-implementation support
- Yes
- Verified on September 11, 2026
- Details
- Maintenance and ongoing assistance are offered. Scope, billing and service commitments need to be agreed.
- Verified on September 11, 2026
Infrastructure, data and security
Hosting, cybersecurity, ownership and declared certifications.
- Data location
- France or Europe according to the proposed architecture; confirm actual locations contractually.
- Verified on September 11, 2026
- Security policy
- Gensai states that it considers GDPR and the EU AI Act. Review project-specific processing, contracts, subprocessors and safeguards.
- Verified on September 11, 2026
- Local models supported
- Yes
- Verified on September 11, 2026
- On-premises deployment
- Yes
- Verified on September 11, 2026
- Data portability
- Not disclosed
- Ownership of the code
- Not disclosed
Training and certifications
Training, Qualiopi, CPF and explicitly documented funding options.
- Training related to the deployment
- Yes
- Verified on September 11, 2026
- Qualiopi
- Unknown information
Tools and integrations
Technologies, usage context and compatibility with the existing environment.
RAG
LangChain
n8n
Mistral
OpenAI
Pinecone
FAISS
LiveKit
Scaleway
OVHcloud
- Capabilities and reference points
- RAG
- LangChain
- n8n
- Mistral
- OpenAI
- Pinecone
- FAISS
- LiveKit
- Scaleway
- OVHcloud
Client case studies and evidence
Publishable case studies, outcomes and verification level.
- Evidence level
The website describes two named client cases: Conformis and GoFlint.
A public France Num Activateur listing is available.
This profile includes no independently verified performance figures.
- AIPartnerLens analysis
- Structured levels
- Named client case study
- Public source
- Verified on September 11, 2026
- Documented items
- Public France Num Activateur listing.
- Verified on September 11, 2026
- Public sources
- https://gensai.ai/realisations/assistant-conformite-rag-souverain
- https://gensai.ai/realisations/moteur-de-recherche-langage-naturel
- https://www.francenum.gouv.fr/activateurs/gensai
- Verified on September 11, 2026
Client: Conformis
Regulatory knowledge assistant
Problem: Query client-specific regulatory documentation.
Work delivered: A RAG chatbot tailored to the organization’s industry and size.
Outcome: The assistant is publicly described; this source provides no independently measured improvement.
Technologies
- Mistral
- LangChain
- RAG
- Verified on September 11, 2026
- Evidence levels
- Named client case study
- Public source
- Verified on September 11, 2026
- Verified on September 11, 2026
Client: GoFlint
Natural-language property search
Problem: Describe property requirements without navigating multiple filters.
Work delivered: A search engine connected to property listings and also accessible through WhatsApp.
Outcome: The website describes the service; the source does not quantify its commercial impact.
Technologies
- LangChain
- Azure
- OpenAI
- Verified on September 11, 2026
- Evidence levels
- Named client case study
- Public source
- Verified on September 11, 2026
- Verified on September 11, 2026
Limitations and points to clarify
Prerequisites, dependencies, risks and questions to resolve before signing.
- Risks
- Initial budget, model usage charges, hosting and ongoing maintenance costs.
- Timeline, assigned team, deliverables and acceptance criteria.
- Actual data locations, subprocessors and contractual commitments.
- Service levels, code ownership, exit arrangements and support scope.
- To clarify before signing
- Initial budget, model usage charges, hosting and ongoing maintenance costs.
- Timeline, assigned team, deliverables and acceptance criteria.
- Actual data locations, subprocessors and contractual commitments.
- Service levels, code ownership, exit arrangements and support scope.
- AIPartnerLens analysis
Sources and statuses
Sources of public information
Internal comments, private fields and non-public sources are never rendered in this profile.
Public sources
7
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.
Public source — gensai.aihttps://gensai.ai/
Public source — gensai.aihttps://gensai.ai/services/moteur-de-reponses
Public source — gensai.aihttps://gensai.ai/services/chatbot-voicebot
Public source — gensai.aihttps://gensai.ai/services/agents-ia
Public source — gensai.aihttps://gensai.ai/realisations/assistant-conformite-rag-souverain
Public source — gensai.aihttps://gensai.ai/realisations/moteur-de-recherche-langage-naturel
Public source — francenum.gouv.frhttps://www.francenum.gouv.fr/activateurs/gensai
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.
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.
Correction
August 2026
Factual correction possible
A name, link, category, outdated source or factually incorrect information can be corrected free of charge.
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.
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