Skip to main content
Professional ai solutions services
AI development

AI web & app development

Multilingual AI applications — MVP in 4 to 6 weeks

Multilingual AI applications built by developers and linguists together: MVP within 4 to 6 weeks, LLM-agnostic (DeepL Pro, OpenAI, Anthropic and Google plus open-source models) and production-ready from day one.

  • AI + human specialist
  • GDPR-aligned process
  • EU AI Act-aligned
  • 225+ languages
AI web & app development — Ecrivus International
Our approach

Language technology that makes your product smarter

Multilingual AI applications built from linguistic and technical insight: chatbots, translation APIs, NLP-driven search and document processing — MVP in 4 to 6 weeks, LLM-agnostic and production-ready from day one.

  • Multilingual reach as core functionality
  • DeepL · OpenAI · Anthropic · Google — the right model per use case
  • Agile sprints, working MVP in 4 to 6 weeks
225+
languages
from Afrikaans to Zulu
10.000+
specialists
active worldwide
25.000+
projects
delivered since 2006
99%
satisfaction
20+ years of experience
Definition

What is AI web & app development?

What sets our approach apart is the combination of technical engineering talent and native linguistic expertise. Where purely technical teams treat multilingual reach as a configuration question, we also understand the linguistic, cultural and quality dimensions that decide whether an AI language application genuinely works for end users — across 20+ markets.

Language reach

AI applications in 225+ languages

From core EU languages to low-resource markets with custom fine-tuning on your domain data.

Our process

How it works

  1. Discovery and requirements analysis

    We analyse your business case, define functional and non-functional requirements and decide which language-AI technology fits best: LLM choice, translation API, NLP framework, ASR or TTS.

  2. Architecture design

    Technical design of your multilingual AI application: LLM choice, API integrations, data flow, caching, scalability, privacy and GDPR compliance per market.

  3. Agile development

    In two-week sprints we build your application iteratively. After every sprint you receive a working product for feedback — no waiting until the end of a multi-month build.

  4. Linguistic integration and testing

    Native language specialists test the application in every required language for accuracy, cultural fit and user experience. Developer testing alone is not enough for multilingual AI.

  5. MVP delivery and continued development

    Working MVP within 4 to 6 weeks. From there we guide further development based on real user feedback — including hosting, monitoring and ongoing maintenance.

Agile × linguistics

Building AI apps without linguistic expertise is a technology stunt.

A chatbot running the same scripts across 8 markets without native reviewers fails on nuance and trust. An AI translation API without linguistic QA produces hallucinations at scale. We work as one team — developers, LLM specialists and native language experts — so your AI product not only runs, but reads right.
Ecrivus International — AI web & app development
Why Ecrivus

Technology and language under one roof

Where technical teams treat multilingual reach as configuration, we build it from linguistics — with developers, native experts and LLM specialists in one team.

  • Multilingual architecture — Ecrivus International

    Unlimited multilingual reach

    Our applications are designed to be multilingual from the architecture up — not as an afterthought, but as core functionality. Adding a 20th language does not require a refactor.

  • MVP in 4 to 6 weeks — Ecrivus International

    MVP in 4 to 6 weeks

    With Agile development and state-of-the-art AI components we deliver a working MVP in 4 to 6 weeks. Real user feedback gathered quickly, instead of months of stealth build.

  • LLM and NLP expertise — Ecrivus International

    LLM, NLP and API expertise

    We work with DeepL Pro, OpenAI, Anthropic and Google plus open-source models, NLP frameworks and translation APIs. Model choice driven by use case, not by hype.

  • Concept to production — Ecrivus International

    From concept to production

    Guidance from idea through prototype to production-grade application — including hosting in a customer-configured cloud environment, monitoring, logging and ongoing maintenance.

Quality assurance

From POC to production-ready AI

From model choice to live monitoring — the foundation of AI applications that real users rely on.

  • Multilingual by design Not an afterthought, but a core function
  • DeepL · OpenAI · Anthropic · Google Model choice tuned to your use case
  • Two-week Agile sprints Working product every sprint
  • MVP in 4 to 6 weeks Real users and feedback fast
  • POC to production Hosting · monitoring · maintenance
  • GDPR-aligned Datacenter configurable on request
From practice

Concrete AI app projects

From chatbot deployments to document extraction and multilingual search — AI applications running in production.

Bank chatbot — Ecrivus International Finance · Chatbot
Case Study

Multilingual chatbot — bank in 8 markets

A bank launched a customer-service chatbot across 8 markets. LLM with custom domain knowledge, GDPR-aligned hosting (datacenter configurable on request) and fall-back to human agents. MVP in 5 weeks; high self-service rate achieved.

8 markets
5 wk MVP
high self-service
Medical NLP — Ecrivus International Pharma · NLP
Case Study

Medical document extraction — 14 languages

A pharmaceutical company automated patient-record extraction from scanned documents in 14 languages. Custom NLP pipeline with OCR and a native human QA layer. Throughput considerably higher than manual.

14 languages
considerable throughput
native QA
E-commerce search — Ecrivus International E-commerce · NLP
Case Study

Multilingual search — e-commerce in 20 markets

A marketplace built an NLP-driven search engine for 20 markets. Semantic search, query-intent detection per language and regional catalogue matching. Measurable improvement in search-to-buy.

20 markets
measurable search-to-buy
6 wk MVP
Applications

For which AI applications?

8application types

From customer-service chatbots to NLP search and multilingual e-commerce — wherever language intelligence matters.

  • Multilingual chatbots and virtual assistants
  • Automated translation APIs
  • NLP-driven search engines
  • Document processing and extraction
  • Speech-to-text applications
  • Multilingual e-commerce platforms
  • Language analytics and reporting tools
  • Medical NLP applications

Trusted by government, legal institutions & global enterprises

HPMinistry of JusticeDSMSiemensASMLAmazonINGCalvin KleinRocheShellEuropean Court of JusticeBoschBMWPhilipsAudi
Legal SectorBASFImmigration ServicesVolkswagenDeutsche BankSolvaySAPMedtronicMaastricht UniversityDSMRabobankJohn DeereRitualsUnilever
Which AI models do you use?
We choose the most suitable model per use case: commercial LLMs from DeepL Pro, OpenAI, Anthropic and Google for chatbots and content generation, open-source models for privacy-sensitive applications, and specialised translation engines for translation use cases. We also work with TMS-tooling such as Phrase TMS, memoQ and Trados Studio. Model choice driven by use case, not by hype. We stay LLM-agnostic so you are not locked into a single provider.
What is an MVP and why is it useful?
A Minimum Viable Product is the smallest workable version of your application with the core functionality. An MVP lets you bring your product to market quickly, gather real user feedback and iterate — without waiting for a fully built-out version. Our MVPs are production-grade, not just prototypes.
Can you extend existing applications with AI?
Yes — we integrate multilingual AI through APIs and microservices into existing applications. Typically faster and more cost-effective than building an entirely new platform. We assess your architecture and recommend the most suitable integration approach, including feature-flag rollouts and A/B testing.
How do you safeguard the quality of language output?
Linguistic quality is core to our practice. We test AI output structurally with native language experts, measure accuracy and fluency per language, and build human review loops in wherever the quality risk is high. The result: applications that are linguistically reliable too — no hallucinations leaking through to production.
Do you handle hosting and maintenance after delivery?
Yes — we offer managed hosting on scalable cloud infrastructure (datacenter location is configurable on customer request, typically EU) including monitoring, logging, updates and technical support. This is optional — you can also host yourself with our handover support. Uptime targets are agreed per project, from best-effort to 99.9%.
How do you handle GDPR and privacy?
GDPR-aligned process. Datacenter location is configurable on customer request for supported tools, typically EU. With commercial vendor subscriptions (DeepL Pro, OpenAI, Anthropic, Google), customer data is not used for model training. GDPR processor agreements available on request. For privacy-critical applications (pharma, finance) we work with on-premise deployable models or private-cloud LLM inference.
How does your pricing model for AI app development work?
Fixed-price projects for the MVP (4 to 6 weeks) or time and materials for continued development. MVP budget depends on complexity, number of languages, LLM cost projections and integrations. For ongoing applications: monthly subscription covering hosting, maintenance and feature development. Full transparency upfront, no surprises.
Social proof

Client testimonials

What clients say about working with Ecrivus — from banking chatbots to medical NLP.

★★★★★
Certified translations for our international cases are delivered quickly and carefully. Our project manager knows our account inside out.

Need an AI app built?

No-obligation — response within one hour on business days

Discover more

Below you'll find adjacent services, sectors we translate for often, and the most requested language pairs.

Last updated: May 2026