Data Science Studio

We Deploy AI Agents That Deliver.

Search, forecasting, automation, compliance — built on advanced data science and deployed on an enterprise platform. Live in weeks.

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  • 1
    Connect your data

    SharePoint, Salesforce, ERPs, databases — 50+ connectors, no migration.

  • 2
    We build your agents

    Knowledge graphs, ML models, and workflows — tailored to your domain.

  • 3
    Go live in weeks

    Enterprise security, EU data residency, full audit trail. Production-grade from day one.

Trusted by leading Innovators and Enterprises

DecathlonL'OréalAbbVieANSMQualintraDriiveMeUpfundSketchNGoRiskNLuccaLa BDDScalabOCTO TechnologyAccentureDecathlonL'OréalAbbVieANSMQualintraDriiveMeUpfundSketchNGoRiskNLuccaLa BDDScalabOCTO TechnologyAccenture
Team collaborating on data platform
Plug and play

Your data, connected from day one

Weeki plugs into your existing tools and starts delivering value immediately. Semantic search, knowledge graphs, AI assistants — no infrastructure to build, no data to migrate.

  • 50+ native connectors — SharePoint, Salesforce, SAP, ERPs
  • Hybrid semantic + keyword search out of the box
  • SSO, RBAC, and EU data residency built in
AI agents executing business workflows
Beyond Q&A

Agents that act, not just answer

Weeki agents update your CRM, generate reports, trigger workflows, run ML pipelines — from a simple chat command. Every action traced, governed, auditable.

  • Execute actions across CRM, ITSM, and business tools
  • Multi-step workflows and automated deliverables from chat
  • Full traceability with approvals, guardrails, and audit trail

Depth

Knowledge graphs, ML models, NLP — real data science under every agent.

Speed

Live in weeks. First ROI in ~60 days.

Cost

SaaS economics. No infrastructure. No army of consultants.

Control

EU data residency. SSO. Full audit trail. On-premise available.

Under the hood

The science behind every agent

Knowledge graphs, ontologies, and ML pipelines — structured automatically from your data. The complexity stays hidden. The results speak for themselves.

From chat to action

From chat to action via MCP

Type "Generate the monthly deck," "Update the price list," or "Publish the report." The automation runs via MCP, with guardrails, approvals, and complete traceability. Use it across support, ops, finance, or compliance.

Ready‑to‑run data models

Start fast with ready‑to‑run models, agents, and automations (pricing simulator, literature packs, forecast templates, support/compliance assistants). Launch in days, then adapt to your context.

Marketplace

Forecast Agent

Agent IA

Pre-built forecast models and agents to accelerate your planning and analysis workflow.

Data Models & Agents

Pricing Simulator
Literature Packs
More...
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Integrate any knowledge or data

PDFs, PPTX, CSVs, emails, DBs, SharePoint/Drive/Confluence, intranets, and bibliographic references (DOI/PMID)—all normalized into cards with sources, tags, lineage.

AI‑understandable by design

The map encodes entities and relations so agents can retrieve, reason, and act with fewer errors.

TaxonomyBuild classification structure
OntologyDefine relationships & entities
GovernanceEstablish rules & policies
UnifyConsolidate existing sources
TaxonomyBuild classification structure
OntologyDefine relationships & entities
GovernanceEstablish rules & policies
UnifyConsolidate existing sources

Start from scratch or consolidate

We can build your knowledge base from zero (taxonomy, ontology, governance) or unify what you already have.

How we deliver

A proven process. Measurable outcomes. No black box.

1

Connect & scope

We plug into your data and map your highest-value use cases.

2

Build & calibrate

Agents, models, and workflows — tailored to your data and business rules.

3

Deploy & iterate

Go live. Monitor KPIs. We optimize until results exceed targets.

See what we deliver

Pick a solution to explore its architecture

From Enterprise Data to AI-Powered Decisions

app.weeki.io/platform

app.weeki.io/platform
Click any node to explore

Business Cases & Client References

Real-world results.

ADEO / Leroy Merlin logo

MLOps GenAI & LLM Production at Scale

Retail/MLOps

Industrializing ML & GenAI models from POC to production on GCP with Kubernetes, observability (Datadog), security (Vault), and CI/CD automation for multiple LLM-powered products.

Packitoo

AI-Driven Pricing & Revenue Optimization

Manufacturing/Pricing

Propensity scoring and what-if pricing simulator using XGBoost with SHAP/LIME explainability, enabling sales teams to optimize margins with actionable price corridors.

Qualintra logo

Revolutionizing Employee Engagement with Explainable AI

HR Analytics

Advanced ML (XGBoost, LightGBM, SHAP, LIME) for 25 years of HR data: actionable insights, targeted retention, clear dashboards, transparent recommendations.

AbbVie logo

AI-Powered Content Automation for Pharma Compliance

Pharma/Regulatory

Automated regulatory submissions and marketing asset generation with RAG and LLM pipelines; instant, audit-ready outputs, accelerated time-to-market.

ANSM logo

Next-Gen Document Surveillance in Health Regulation

Public Health

Real-time GenAI and agent-powered compliance supervision for complex pharmaceutical documentation.

Driiveme logo

Fueling Data-Driven Logistics with Predictive Analytics

Mobility/Logistics

Robust predictive pipelines for demand forecasting, resource optimization, and actionable fleet analytics.

Weeki.io logo

AI Knowledge Agent Platform for Organizational Acceleration

SaaS/R&D Knowledge Management

AI platform for intelligent, real-time knowledge mapping—collaborative boost and R&D acceleration via advanced vector embeddings and workflow automation.

Decathlon logo

End-to-End Demand Forecasting for Global Retail

Retail/Supply Chain

Multi-scale demand forecasting and inventory optimization using deep learning—reduced stock-outs/overstocks, agile supply chain.

SketchNGo logo

Conversational AI Assistants for Business Growth

SaaS/Business Productivity

Multi-agent business assistants, actionable recommendations, real-time context-aware guidance for founders and entrepreneurs.

Upfund logo

AI for Real Estate Market Intelligence

Real Estate Investment

Market forecasting with spatial and time-series ML, CNNs; automated ETL, executive dashboards for confident investment.

Catholic University of Lille logo

Modern Data Science Education: Building Tomorrow's Leaders

Academia

Design and delivery of advanced master's level AI/data courses, bridging theory to real-world expertise.

Weeki.io logo

Open-Science Knowledge Visualization for Academia

EdTech/Research

SaaS platform for knowledge mapping in academic research: literature review automation, centralized documentation, interactive visualizations.

NOE Medtech

Automated Literature Review in Medical Device Innovation

MedTech/Regulatory

End-to-end AI-powered review pipeline, NLP/ML extraction, regulatory compliance, time-to-market acceleration.

Academic Research

PhD Research: Bayesian Networks for Cybersecurity

Cybersecurity

Advanced probabilistic modeling methods (Bayesian, Markov Networks) for threat anticipation and system resilience in cybersecurity.

Scalab/CRISTAL Lab logo

AI-Driven Analysis of Human Social Behavior

Neuroscience/Social Science

ML and motion capture to model physical/physiological behaviors; predictive analytics, next-gen human-machine interfaces.

Calculate your ROI

Pick a solution and adjust the variables to estimate your return

ROI Snapshot

Adjust the values to model your scenario

100workers
×
20hours/mo saved
×
€80€/hour
=
€160.0k/ mogain
€0
Monthly gain
€0
Monthly cost
0.0×
ROI

From pilot to production

Pick a solution to see how we deploy it

How We Deliver

Platform Overview

1

Discovery & scoping

Map your data sources, define priority use cases, and align KPIs with stakeholders.

2

Connect & ingest

Plug into your existing tools — SharePoint, Confluence, databases, APIs — with native connectors.

3

Model & enrich

Build knowledge graphs, train AI models, and configure agents tailored to your domain.

4

Deploy & validate

Go live with search, assistants, dashboards, or forecasts — validated by your team.

5

Govern & scale

Monitor performance, enforce policies, and extend to new use cases across the organization.

Choose your business model

Pick the model that fits your organization.

1

Choose your plan

Free

€0/month
Includes:
  • 1 user
  • 1 workspace, 5 projects, 10 boards
  • All board features included
  • Automation included
  • 1 GB storage
  • Help center access
  • Data residency
Recommended

Pro

€99/user/month

billed annually

or €129/mo billed monthly

Includes:
  • Up to 50 users
  • 5 workspaces, 100 projects, 1,000 boards
  • 50 GB/user storage
  • All connectors (M365, GDrive, Confluence…)
  • 500 compute credits/user included
  • Workflow automation (credit-based)
  • See credit pricing
Start now

Enterprise

Also available On-Premise
On request
Includes:
  • Everything in Pro
  • Unlimited users, projects & boards
  • 100+ GB/user storage
  • SSO & advanced governance
  • Board history & audit logs
  • Dedicated account manager
  • Platform Onboarding Bootcamp
2

We help you get started

Our team configures, deploys, and trains you on the platform — pick fixed-price or time & material.

Service Delivery

Starting from

€35k minimum
Includes:
  • Scoped project delivery
  • Pilot phase from 35k€
  • Production deployment from 70k€
  • Full governance & audit bundle

SSO/Active Directory

RBAC

Citations & audit logs

end‑to‑end

EU data residency

Governed data dictionary

Enterprise scale

Millions of objects managed

Pilot in 2–6 weeks

Industrialization 6–10

Start with a strategy call

  1. 1Discovery & Personalized ROI Demo
  2. 2Technical & Security Workshop
  3. 3Commercial, Legal & Kick‑off

Have questions?

Find Your Answers Here

Can we start if our data and documents are messy?
How fast can we see results?
Does it integrate with our existing tools?
What effort is required from our teams?
Where is our data stored? Is it secure?
What ROI can we expect?
Do you have ready-to-use templates?
Can we automate workflows from the platform?
Do we need our own data science team?