DATA SCIENCE/AI · ML / DL/GENERATIVE AI/AUTOMATION

Intelligence,
end to end.

DataDiwan is an AI and data company. We build the full stack — data science, machine learning, generative AI, and automation — for startups, SMBs, and enterprises worldwide. Remote-first from Helsinki, with deep EU and MENA expertise when you need it.

Chat with us on WhatsApp
Startups & SMBsFintechLegaltechManufacturingHealthcare
Full stack
Data → Action
Languages
AR · EN · FI
Governance
Enterprise · GDPR
Engagement
Fixed scope
Capabilities

Four disciplines. One partner.

From the data foundation to autonomous action — we cover the whole chain, so nothing falls through the gaps between vendors.

Data Science & Analytics

We turn scattered, messy data into a foundation you can trust and decisions you can defend.

Data engineeringBI & dashboardsForecastingFinancial analysis & backtesting

Machine Learning & Deep Learning

Custom models that predict, classify, and see — built where off-the-shelf tools stop working.

Predictive modelingComputer visionNLPAnomaly detection

Generative AI

Assistants and copilots grounded in your own knowledge — accurate, sourced, and private to you.

RAG assistantsLLM applicationsDocument intelligenceCopilots

Intelligent Automation

We put repetitive work on autopilot with workflows and AI agents that act, not just advise.

Workflow automationAI agentsProcess automationIntegrations
The stack

From raw data to action that runs itself.

One continuous system, not four disconnected projects. Explore each stage.

STAGE 01
Data
STAGE 02
Models
STAGE 03
Generative
STAGE 04
Automation

Data

We build the foundation: integrating scattered sources, cleaning and modeling them, and putting governance and quality controls in place so everything above this is trustworthy.

ETL & pipelinesData modelingQuality & governanceBI foundations
How we work

From question
to production.

Most builds run 4–12 weeks depending on scope. Fixed milestones, founder-led delivery, and a handover your team can run — in English, Arabic, or Finnish.

  1. Scope

    1–2 weeks

    We clarify the outcome, your data, and constraints — in your language — before any code is written. You leave with a scoped plan, not a slide deck.

  2. Build

    2–6 weeks

    Models, integrations, and quality checks. The same person who scoped the work oversees delivery. Accelerators shorten repeat builds.

  3. Validate

    ~1 week

    Measured against your business goal on real data — not demo data. Nothing ships on assumptions.

  4. Hand over

    ~1 week

    Documentation, walkthroughs, and full transfer. No lock-in, no black boxes. Your team owns what we built.

  5. Stay close

    Optional · ongoing

    Monitoring, tuning, and support when you want us in the loop. Retainer, not dependency.

Built to be trusted

The standard we hold every project to.

Trust isn't a logo wall. It's how the work is governed, validated, and handed back to you.

01

Validated, not assumed

Every model is measured against your business goal, kept explainable, and tested on out-of-sample data before it ships.

02

Enterprise-grade governance

GDPR by design, EU AI Act aligned, and audit-ready documentation — whether you sell in the US, EU, or globally. Your data stays in your environment when it should.

03

Yours to keep

No lock-in. We document everything and transfer it, so your team can run and adapt what we build long after we're gone.

04

Fixed scope, clear ownership

Defined deliverables and a named owner from day one. No runaway timelines, no surprise invoices.

BUILT TO:GDPREU AI ActData sovereigntyExplainable AI
Generative AI · live

See the work, working.

A grounded knowledge assistant — the kind we build for clients — answering live from DataDiwan's own material. This is the capability running, not a screenshot. Startups and SMBs: ask about our Sprint (1-3 week) engagements.

datadiwan · knowledge-assistant
…
Assistant

Ask about what DataDiwan does, how we serve startups and SMBs, or how we govern data. I answer only from DataDiwan's material.

Free resources

Start here — no call required.

Practical tools for teams shipping AI responsibly — anywhere. Trilingual, grounded, no fluff.

Free

AI Readiness Scorecard

A self-scoring PDF — 25 checks across governance, data, documentation, and risk (including EU AI Act). Maturity meter and tailored next steps.

Get scorecard
Newsletter

DataDiwan AI Brief

Monthly notes on production AI, RAG, and governance — in English, Arabic, and Finnish. (Nordic–Arab bridge when it matters.)

Subscribe
Digital kit

RAG Starter Kit

Templates, architecture patterns, and prompt packs for your first grounded assistant — ready to adapt.

€29Notify me when live
The bridge

Global delivery. Three languages.

DataDiwan works natively in English, Arabic, and Finnish — remote-first from Helsinki, serving teams worldwide. Strong EU and MENA depth when your stakeholders or regulators need it.

Try the language switch in the header. The whole company speaks your language.

We build intelligence, end to end.EN
نبني الذكاء، من البيانات إلى الفعل.AR
Rakennamme älyä — datasta toimintaan.FI

Insights

Ideas from the field

View all articles
Building EU-Compliant AI Agents for SaaS Workflows
8 min read

Building EU-Compliant AI Agents for SaaS Workflows

How SaaS teams ship AI agents on top of CRM and ERP — with human override, audit logs, and EU AI Act documentation from day one.

RAG in Production: A Stack EU SaaS Teams Can Audit
9 min read

RAG in Production: A Stack EU SaaS Teams Can Audit

Chunking, hybrid retrieval, citations, and retention policies — the production RAG pattern EU SaaS teams need before legal review.

Messy Data Is Why Your AI Projects Stall — Fix the Pipes First
8 min read

Messy Data Is Why Your AI Projects Stall — Fix the Pipes First

Scattered spreadsheets and silent API failures kill AI before it starts. How data engineering builds trusted pipelines, governed tables, and BI your models can use.

FAQ

Common questions

Quick answers before you book a call.

Do you work fixed-price or hourly?

We offer engagement-based pricing — Sprint, Build & Deploy, and Strategic Partnership. See /services for details and timelines.

Which languages do you deliver in?

English, Arabic, and Finnish — natively, not via translation layers. We work with teams worldwide, remote-first from Helsinki.

How do you handle data and compliance?

Enterprise-grade governance: GDPR by design, EU AI Act aligned, audit-ready docs. Your data stays in your environment where required; we document models and hand over full ownership.

Is the chat demo on this site real AI?

Yes — when enabled, it uses our knowledge base and Anthropic API with rate limits. It shows the kind of grounded assistant we build for clients.

How do we start?

Chat with us on WhatsApp for a free 20-minute AI Readiness Call, or send a message through the contact form. We respond within minutes.

Do you build AI agents and automation for SaaS teams?

Yes — we design AI agents and intelligent automation on top of your existing CRM, ERP, and SaaS stack. Human-in-the-loop checkpoints, audit logs, and EU AI Act–aware documentation are built in from day one.

What data science and ML services do you offer?

We cover the full path: data pipelines, feature engineering, predictive models, MLOps, and production monitoring — tied to one business metric leaders actually use, not accuracy in a vacuum.

Can you build EU-compliant RAG assistants?

Yes — grounded retrieval with citations, private deploy, and governance-ready documentation. Locale-aware ingest (EN/AR/FI). Free AI Readiness Scorecard at /scorecard.

Do you work with startups and enterprise SaaS?

We work with SaaS vendors, fintech, legaltech, healthcare, and manufacturing teams — from AI readiness sprints to multi-month build-and-deploy engagements. Fixed-scope packages at /services.

Tell us the question. We'll build the system that answers it.

A short call, no pressure. We'll tell you honestly whether AI fits — and what it would take.

Start a project →Chat with us on WhatsApp