Your AI department, without hiring one.

We design, build and operate your company’s AI, from identifying the use case to running it in production.

Schedule a call Our expertise

English, French and JapaneseFrance & Japan · Asia & worldwide

Processes across the company

DepartmentProcessSystemsStatus

FinanceSupplier invoicesSAPAwaiting validation

ProcurementPurchase order matchingSAP · EmailAwaiting validation

Customer serviceMultilingual request triageSalesforceCompleted

LegalContract clause reviewDocument baseRunning

ProductAI search in the customer appYour applicationAwaiting validation

DataModel trained on your dataYour cloudCompleted

Does this sound familiar?

Whole departments still run on spreadsheets, emails and manual re-entry.
AI pilots have been built, but none of them runs in production.
You have a product to build or to extend with AI, and not the team to do it.
Recruiting an AI team would take months before the first result.
Your data is sensitive and cannot be sent to public AI services.
Your IT department is already fully booked.

This is the work we take on, from start to finish.

What we build

Each expertise can be engaged on its own, through the way of working that suits you.

01AI in your products and applications

You have an application or a platform? We add AI features to it.

Explore

02Predictive AI & computer vision

Anticipate changes in your business and automate visual inspections with AI.

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03Process automation & AI agents

What your teams do by hand, again and again, we automate.

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04AI assistants & secure enterprise AI

AI assistants connected to your internal knowledge, with hosting and data flows adapted to your security requirements.

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05Custom AI models

AI models tailored to your business using your data, deployed according to your control and confidentiality requirements.

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06Custom software & applications

The tools your company needs and the market does not offer, with or without AI.

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07AI diagnostic

Not sure where to start? We identify where AI will bring you the most, and hand you a clear roadmap.

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08Outsourced AI department

No AI team? We become your AI department.

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Existing applicationsSearch and recommendationsWith your teamExplore

How to work with us

Depending on where you stand, choose the way that suits you. Each one can start on its own, and you can move from one to another as your needs change.

AI diagnosticWhere to start
Not sure where to start? We identify where AI will bring you the most, and hand you a clear roadmap.
See the details
End-to-end project
You have a specific need: we design it, build it and put it into production.
See the details
Engineers embedded in your teams
Our engineers join your teams and work with them day to day.
See the details
Outsourced AI department
No AI team? We become your AI department.
See the details
Executive AI advisory
An AI expert alongside your leadership team, on a monthly basis.
See the details

All the ways to work with us

What it changes, function by function

Concrete examples, described as your teams would describe them.

Month-end reportingBeforeThe team compiles reports by hand at the end of every month, from several systems.AfterReports are generated automatically. The team reviews and validates them.
Supplier invoicesBeforeInvoices arrive by email in different formats and are keyed in one by one.AfterInvoices are read, matched with orders and posted. Only exceptions reach the team.
Expense controlsBeforeExpense claims are checked by sampling, after payment.AfterEvery claim is checked against policy before approval. Anomalies are flagged with the reason.

Employee questionsBeforeHR answers the same questions on leave, benefits and policies every day.AfterAn internal assistant answers from your HR policies, and hands over sensitive cases to the team.
OnboardingBeforeEach arrival triggers a long checklist followed by email between HR, IT and managers.AfterSteps are launched and tracked automatically. HR sees at a glance what is late.
Application screeningBeforeRecruiters read every application to check the basic requirements.AfterApplications are summarised against the job criteria. Recruiters decide, with the full file at hand.

Incoming requestsBeforeAgents sort emails by hand before they can start answering.AfterRequests are classified, prioritised and routed on arrival, in any language.
Answer preparationBeforeAgents search several tools to find order details and the right procedure.AfterA draft answer is prepared with the relevant information. The agent checks and sends.
Recurring questionsBeforeSimple questions wait in the same queue as complex cases.AfterAn AI agent answers simple questions directly and passes the others to the team with context.

Meeting preparationBeforeAccount managers spend time gathering information before each meeting.AfterA briefing is prepared from your CRM, past exchanges and public information.
Tenders and questionnairesBeforeEach tender means rewriting answers already given many times.AfterA first draft is assembled from your validated answers. The team adapts and completes it.
CRM updatesBeforeNotes from calls and meetings reach the CRM late, or not at all.AfterSummaries and next steps are proposed in the CRM after each exchange, for validation.

Order entryBeforeOrders received by email or PDF are re-entered in the ERP.AfterOrders are read and created in the ERP automatically, with checks on prices and quantities.
Supplier follow-upBeforeDelays are discovered late, when someone checks emails and portals.AfterSupplier messages are monitored. Risks of delay are flagged as soon as they appear.
Incident analysisBeforeQuality incidents are documented in free text and rarely analysed together.AfterIncidents are structured and grouped, so recurring causes become visible.

Search in the productBeforeCustomers cannot find what they need with keyword search, and end up contacting support.AfterThey describe what they need in their own words, and semantic search finds the right results.
Technical documentationBeforeEngineers dig through wikis, tickets and code to understand one part of the system.AfterAn assistant answers from the documentation, tickets and code, with links to the sources.
User feedbackBeforeReviews, tickets and interview notes pile up, and no one has time to summarise them.AfterFeedback is grouped by theme every week, with quotes, to inform the product roadmap.

Contract reviewBeforeLawyers check the same clauses in every contract received.AfterKey clauses are extracted and compared with your standards. Lawyers focus on deviations.
Regulatory watchBeforeTeams read a growing number of publications to spot what concerns the company.AfterRelevant changes are identified and summarised, with the source, for the teams concerned.
Compliance questionnairesBeforeEach customer or partner questionnaire is answered as if it were the first.AfterAnswers are drafted from your approved documentation and reviewed by the team.

Executive reportingBeforePreparing the management committee pack takes days of consolidation.AfterIndicators are consolidated automatically, with a first written analysis to review.
Internal knowledgeBeforeFinding a past decision or document means asking several people.AfterAn assistant finds it in your documents, with the source, within each person’s access rights.
Market monitoringBeforeCompetitor and market news is followed informally, when someone has time.AfterA regular brief summarises what changed, with links to the sources.

See all use cases

A clear path from the first use case to production

Each step ends with a deliverable and a decision point: you never commit further than the results justify.

01
Diagnostic
Understand your context and identify where AI creates the most value.
2 to 4 weeks
02
Prototype (PoC)
Prove value and feasibility on a real use case, with your data.
4 to 8 weeks
03
Deployment
Put the solution into production, integrated with your systems.
2 to 4 months, depending on scope
04
Ongoing support
Keep the system reliable, improve it and extend it.
Ongoing support · Monthly billing

See the method

Your data stays under your control

The questions your IT and legal teams will ask, answered before you ask them.

Where does our data go?
Only where you approve, and every flow is documented.
Who has access to it?
Only the named members of the project team.
Can everything be hosted on our side?
Yes. In your cloud or on your own infrastructure.
Can we trace what AI agents do?
Logging and auditing are adapted to agent actions, connected systems and your security requirements.
How is confidentiality guaranteed?
A non-disclosure agreement, signed systematically.
Who keeps control of decisions?
Your teams. Sensitive actions require a human validation.
What about data protection rules?
GDPR, APPI and PDPO are taken into account from the design stage.
Security and data in detail

The founders lead every engagement

Len and Sacha lead each project personally, with specialist engineers brought in as it requires.

Meet the team

LenjuFounder & CEO
SachaCTO
NetworkSpecialist engineers, brought in for each project

What do you actually do?

We help companies bring artificial intelligence into their business. We identify where AI can save you time or money, we build the solutions and we put them into production. Then we keep improving them with you.

Can you add AI to our existing application?

Yes, it is one of our core activities. We study your product, identify the AI features that bring real value to your users, then develop and integrate them, working with your technical team if you have one.

We don’t know yet what we need. Where do we start?

You can start with a diagnostic: we analyse your processes, your tools and your objectives, then hand you a clear roadmap with the priority projects, their value and their feasibility.

How do we work together?

Depending on your needs:

A diagnostic: you do not know where to start, we hand you a clear roadmap.
A project: you have a specific need, we deliver it end to end.
Engineers embedded in your teams: our engineers join your teams and work with them day to day.
Your AI department, turnkey: you have no AI team, we become your AI department, over time.
Executive AI advisory: an AI expert alongside your leadership team, every month.

How long does a project take?

It depends on the project.

A diagnostic generally takes two to four weeks.

A prototype generally takes four to eight weeks, and a full deployment two to four months, depending on the scope. We give you a precise schedule before starting.

How much does it cost?

Every project is different, so we do not work with a price list. We start by understanding your need, then give you a detailed proposal with a clear scope, schedule and budget.

The diagnostic makes it possible to estimate the following projects precisely.

Is our data safe?

Yes. The confidentiality of your data is a prerequisite of every project. We decide with you where it is stored and processed and who can access it, and we can deploy the solutions entirely on your own infrastructure.

Tell us where you stand.

Describe your context: we will come back to you to schedule a first conversation.

Schedule a call

Your AI department, without hiring one.

Does this sound familiar?

What we build

How to work with us

AI diagnosticWhere to start

End-to-end project

Engineers embedded in your teams

Outsourced AI department

Executive AI advisory

What it changes, function by function

A clear path from the first use case to production

Diagnostic

Prototype (PoC)

Deployment

Ongoing support

Your data stays under your control

Where does our data go?

Who has access to it?

Can everything be hosted on our side?

Can we trace what AI agents do?

How is confidentiality guaranteed?

Who keeps control of decisions?

What about data protection rules?

The founders lead every engagement

What executives ask before starting

Tell us where you stand.